Data Architecture Resume Samples
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Data Architecture Resume Samples
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IM
I Marvin
Israel
Marvin
31193 Aufderhar Estate
Detroit
MI
+1 (555) 852 0113
31193 Aufderhar Estate
Detroit
MI
Phone
p
+1 (555) 852 0113
Experience
Experience
Chicago, IL
Data Architecture
Chicago, IL
Bahringer, Hilll and Haley
Chicago, IL
Data Architecture
- Manage communications between onshore and offshore implementation team during build phase. Review and manage the offshore progress on daily basis
- Establishes through robust performance metrics, solution engineering, standardization of practices
- Provides performance tuning of handling large scale data volume and transformations
- Manage data vendors to establish data transfer process (set template, frequency and logistics)
- Provides thought leadership in defining architecture direction and manage the Data team with great mix of technical components to deliver to the business
- Manage the retrieving, compiling, and formatting of large volumes of data
- Work with agency partners to understand the media campaign flows and execution process of media plans
New York, NY
Manager, Data Architecture
New York, NY
Barrows-Collins
New York, NY
Manager, Data Architecture
- Positively engage with various stakeholders within business units and technology, at various levels, to create lasting and constructive working relationships
- Support roadmapping and visioning efforts related to next generation platforms/practices aligned to data and data management
- Expert knowledge using at least two of these specific RDBMS platforms: SQL Server, Teradata, Oracle
- Balance project based delivery and timelines with holistic data design/strategy, optimizing data for reuse and delivery efficiency
- Articulate best practices for architecture, design, and testing
- Strong working knowledge of various SDLC practices in both Waterfall and Agile delivery environments
- Review object and data models and the metadata repository to structure the data for better management, quicker access, and efficient archiving
present
Detroit, MI
Director, Data Architecture
Detroit, MI
Wilkinson and Sons
present
Detroit, MI
Director, Data Architecture
present
- End-to-end global responsibility for creating and aligning Data Strategy with strategic business intent and establishing the IT roadmap; provides architecture direction and guidance; ensures alignment with Strategic Roadmaps, Enterprise Blueprints, and J&J Technology Standards; drives consistency and quality of the Architecture artifacts (business process architecture, data architecture, etc.)
- Establishes strategic roadmaps and governs key aspects of solution implementation related to Data Management (acquisition, ingest, standardization, enrichment, etc.) and projects to provide end-to-end reporting and analytics capabilities
- Improve the measurement of team and individual performance against objectives and operational metrics
- Strongly influences the future direction of business solutions based on technology vision. Brings external benchmarks and inputs into decision making to keep the solution current/leading edge, thus contributing to the competitive value of MDD. Advise senior management on the application data technology within their business areas/regions
- Overall service management for the data processing function including first and second level support and incident management
- Supervise and project manage overall DMP implementation from media, site and 1st party data perspective, including
- Incident management when applications, processes or behavior is the root cause of issue
Education
Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
Florida International University
Bachelor’s Degree in Computer Science
Skills
Skills
- Initiate timeline to design, build, and deploy database applications
- Implement data QA process across various platforms
- Manage the retrieving, compiling, and formatting of large volumes of data
- Utilize syndicated research tools to retrieve various types of data (macroeconomic, marketing, business, etc.)
- Manage project timelines and deliverable schedules
- Guide Data architects to build SQL and/or SAS scripts to manipulate data and / or provide specific build instructions for off-shore programmers
- Manage communications between onshore and offshore implementation team during build phase. Review and manage the offshore progress on daily basis
- Ensure applications are properly maintained by working with off-shore maintenance teams to ensure all cycles are properly completed, with strong emphasis on Quality Assurance of data and settings
- Manage communications between project analysts and technical support team to obtain technical data support and enable data feed upgrades
- Work with agency partners to understand the media campaign flows and execution process of media plans
15 Data Architecture resume templates
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1
Director, Risk Data Architecture Resume Examples & Samples
- Working with the VP Risk Data, lead the design and execution of risk specific initiatives covering the governance, sourcing, storage, flow and analytics of risk data
- Work with Initiative partners to determine optimal strategy to source data across clusters of risk types that share common data, e.g. trading vs. banking book
- Drive overall execution of multiple initiatives and coordinate development of deliverables and execute against established timelines
- Develop the scope and tasks necessary for initiative execution including assessment, acquisition and allocation of all resource requirements (time, cost and skill set)
- Ensure alignment of deliverables with industry better practice and evolving regulatory expectation
- Manage execution of compliance testing of initiative requirements
- Leadership: Skills to set vision and manage teams
- Project Management: Ability to structure work-steps, forecast roadblocks and escalate issues as appropriate
- Proven experience in managing cross-functional teams and resources to deliver outcomes within tight time and cost constraints
- Networking: Ability to build and utilize internal networks to further initiative work steps
- Subject matter expertise: Relevant risk and RBC specific knowledge required to effectively drive initiatives forward
2
VP, Data Architecture & Solutions Resume Examples & Samples
- Set strategic direction for data architecture and design across WB. Work closely with the Business Solutions and Technology Strategy team to ensure vision and strategy is tightly aligned with business unit needs and overall studio priorities
- Ensure that the ongoing delivery of solutions and services within the Horizontal meets or exceeds business unit needs while also optimizing and striking the right balance between cost and capability
- Work closely with Business Units to understand the collective needs of all users and ensure that common requirements are exploited while unique needs are supported in the most efficient manner possible
- Build and develop a flexible talent pool while leveraging external resources & technology complements for speed and agility to support evolving business demands
- Own roadmap and project-based financials for including all budget, forecasting, capital requests and long-term planning
- Collaborate across TW divisions and industry associations to influence changes in the interest of WB's long-term objectives
3
Director of Data Architecture Resume Examples & Samples
- Be accountable for Data Architecture and provide thought leadership to the Retirement IT organization, and Information Management organization. It will involve planning, creation of enterprise Information roadmaps, aligning delivery with corporate roadmaps, working in collaboration with corporate shared services organizations
- Manage and coordinate components of Data Architecture for Enterprise Data Warehouse build efforts, including detailed planning, design, build and maintenance. Provide technical design leadership to projects with the responsibility to ensure the efficient use of resources, and the selection of appropriate technologies
- Manage and coordinate the architecture and design of Meta Data and Master Data Management approaches for the organization
- Responsible for Data Modeling of key initiatives. Develop and implement data modeling standards, in alignment with the enterprise standards and target architecture/roadmaps. Support various project teams , logical and physical data models and provide guidance and mentoring to technical teams
- Provide leadership that directly contributes to the creation and strategic direction for data warehousing, business intelligence and analytics initiatives for the enterprise
- Responsible for helping the organization stay abreast of evolving technologies, including Big Data and Analytics, while taking a pragmatic view of technology adoption
- Responsible for design and build using massive parallel processing appliances such as Greenplum
- 12+ years hands-on data architecture and delivery experience - in both project / initiative and maintenance/operational role. 6+ years in data centric initiatives
4
Data Architecture Internship Resume Examples & Samples
- Ability to learn new things quickly
- Strong logical thinking background (computer science, programming, math, etc.)
- JSON schema creation
- Exposure to data modeling tools and concepts
- Exposure to data base design concepts across multiple platforms such as Oracle, MySQL, MondoDB, Cassandra, Hbase
- Excellent initiative and flexibility to shift work in response to competing priorities
- Google application suite desired but not required
- Exposure to Source code control tools
- Exposure to tools such as Pig, Hive, MapReduce
- Exposure to JAVA
5
Executive Director, Data Architecture Resume Examples & Samples
- 7-10 years experience with a degree in Computer Science or related field. Advanced degrees preferred
- Track record of designing and implementing large data set solutions to support business strategies
- Experience with latest database technologies
- Experience tagging data for use in a highly complex, scalable distribution system
- Familiarity with major big data solutions and products available in the market
- Strong leadership and vendor management skills
- Ability to thrive in a fast – paced, fluid and collaborative environment
6
Head of Data Architecture Resume Examples & Samples
- A degree, Masters or PhD from a leading University in a quantitative discipline such as computer science, statistics, physics or mathematics
- Experience of transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security
- Experience in finding patterns in data and creating statistical models, data exploration, data visualisation and data mining
- Experience of leading data science, data discovery and machine learning projects
- Experience in conducting analysis for evidence-based decision making
- You will be able to convey complex information to both technical and nontechnical audiences
- Familiar with optimisation tools and techniques like Bayesian modelling and variety of machine learning techniques
- Be able to use a combination of R, Python, JavaScript, C, Java and SQL
7
Data Architecture Resume Examples & Samples
- Strive to capitalize on new technological trends that cater Business and deliver value
- Architect solutions in building frameworks for data ingestion, loading and transformation
- Creates road map of target state architecture with intermediate states
- Provides performance tuning of handling large scale data volume and transformations
- Shapes directions by influencing Business and technical stakeholders for technology and Architectural decisions
- Defines and manages detail project plans, milestones, understand financial/budgetary impact of technical decisions
- Monitors the emerging standards and sets the standards and technologies to be used by the enterprise Accountable for solution quality of the deliverables
- Provides thought leadership in defining architecture direction and manage the Data team with great mix of technical components to deliver to the business
- Establishes through robust performance metrics, solution engineering, standardization of practices
8
Head of Technology for Data Architecture Resume Examples & Samples
- 3) Build out an organization of engineers capable of delivering against an aggressive roadmap
- Omni-Channel Platform: build a 360 customer data view through analytics and machine learning engine driving Omni-channel orchestration to deliver rich and relevant content that determines customer insights, contact frequency and next best action
- Personalization and Communication Engine that lets customers know what they want, when they need to know it and where they want to know
- Content Management platform that can handle dynamic changes in content, and content can be loaded in a timely manner
- Content optimization – machine learning across various content to determine best offer
- Access to real time/near real time data triggers through a centralized data source that can advise of changes in account activity or location that can provide relevance to reaching out. We can quickly react with personalized messaging
- Sophisticated models/machine learning that can score against all new data in real time and learn quickly to drive next best action
- Centralized Data Hub: that collects, integrates and manages customer data to enable rich customer experiences, empower deeper and insightful customer analytics that is driven by customer behavior and feedback
- Highly technical and analytical, possessing 10 or more years of analytics platform implementation or operations experience. Deep understanding of database and analytics technologies in the industry including MPP, Relational, and NOSQL databases
- Implementation and tuning experience in the Apache Hadoop Ecosystem, including tools such as Hadoop Streaming, Spark, Pig and Hive
- Knowledge of the underlying infrastructure requirements such as Networking, Storage, and Hardware Optimization
- Implementation and tuning experience of Data Warehousing platforms, including knowledge of Data Warehouse Schema Design, Query Tuning and Optimization, and Data Migration and Integration. Experience of requirements for the analytics presentation layer including Dashboards, Reporting, and OLAP
- Technical and operational experience with Web services development/deployment, IT systems and network engineering, security and compliance experience, etc
- Ability to think strategically about business, product, and technical challenges in an enterprise environment. Understanding of Agile methodologies, and the ability to apply these practices to Analytics projects
9
Director, Data Architecture Resume Examples & Samples
- End-to-end global responsibility for creating and aligning Data Strategy with strategic business intent and establishing the IT roadmap; provides architecture direction and guidance; ensures alignment with Strategic Roadmaps, Enterprise Blueprints, and J&J Technology Standards; drives consistency and quality of the Architecture artifacts (business process architecture, data architecture, etc.)
- Establishes strategic roadmaps and governs key aspects of solution implementation related to Data Management (acquisition, ingest, standardization, enrichment, etc.) and projects to provide end-to-end reporting and analytics capabilities
- The implementation solution will involve the use of Big Data capabilities like Hadoop and NoSQL databases as well as leveraging traditional DW technologies where applicable
- Architect target architecture and strategy for key business initiatives ensuring alignment with big data strategy and future state architecture vision
- Strongly influences the future direction of business solutions based on technology vision. Brings external benchmarks and inputs into decision making to keep the solution current/leading edge, thus contributing to the competitive value of MDD. Advise senior management on the application data technology within their business areas/regions
- Represents MDD IT strategy in Johnson & Johnson-wide Architecture forums. Collaborate closely with other JNJ sector Architects to drive synergies and leverage solutions where applicable
- Externally, drives technology roadmap of key vendor partners (e.g. Oracle, SAP) to maximize alignment and value to meet MDD needs
- Drive proof-of-concept and industry benchmarking efforts to set strategic global reference architectures that enable new business capabilities
- Deeply influences at VP and CIO levels of the organization providing guidance and advice for strategic 3-5 year technology direction
- Engage with Project/Program teams to ensure SDLC deliverables meet or exceed SDLC
- Mask the complexity of IT/Architecture processes through facilitation, partnerships, and focus on customer satisfaction
- Engage business leaders of supported functions and strive to be viewed as an integral part of their stakeholder network
- Meet or exceed customer requirements with respect to time, cost efficiency, and business value
- A minimum of a Bachelor’s Degree required
- A minimum of 10 years Enterprise Architecture experience in Data required
- Proven experience in best practices in Master Data Management, Data Standards/Definitions, Data Quality, and Big Data required
- Proven experience in enterprise integration with a focus on cloud computing and traditional ERP (JDE, Oracle, SAP) and DW environments
- Experience with the various tools & frameworks of the Hadoop ecosystem (MapReduce, YARN, Pig, Hive, Hbase) and NoSQL (MongoDB, Cassandra, Neo4J)
- Experience with streaming and event processing technologies (Kafka, Flume, Storm, Spark) that support real-time analytics and actions
- Experience with Cloud based data technologies (AWS RDS, Dynamo, Redshift, S3, EMR, Google BigTable, BigQuery, Dataflow)
- Experience with integration methodologies and tools
- Experience designing, developing, and implementing ETL and Relational Database Systems
- Experience finding refined solutions to complex design challenges and helping the entire team meet its commitments
- Must have a “big picture” mind set and always think beyond a single project, business domain, or operating company
- Proven and credible business knowledge and experience in the applications that are supported across the Commercial, Quality and Compliance or Supply Chain functional domains
- Must have experience driving strategic roadmaps, initiatives, programs or projects that enable blueprint realization
- Must have experience in developing strategies and roadmaps with IT architecture focus (e.g. technology blueprints, business process harmonization blueprints, systems integration maps, etc.)
- Experience with leading multi-company teams and global efforts are preferred
- Previous people management experience is preferred
- Demonstrated ability to understand and articulate business requirements, direction, and initiatives from an enterprise-level perspective
- Proven ability to manage team within a matrixed structure
- Demonstrated understanding and management of financial processes and results related to projects, departmental budgets, and enterprise
- Deep technical knowledge of information technology relevant to major business processes
- Demonstrated ability to quickly learn and effectively apply technology expertise in a rapidly changing business and technology environment
- Experience working in a cross-functional environment and building strong cross-functional partnerships required
- TOGAF and ITIL certification preferred
- Experience and practice in Architecture preferredArchitecture
10
Data Architecture Analyst Resume Examples & Samples
- Possesses a university degree and/or 5+ years relevant work experience
- 2+ years in business analysis, developing standards, defining procedures
- Proven technical abilities to write complex logical rules using Access, SQL and Excel
- Has knowledge of Data Governance / Data Quality processes and procedures
- Knowledge of the BMO organization
- Experience in developing and writing formulas or logic used to support analysis used for identification of data issues
- Sound business and technical acumen, with demonstrated agility in learning and ability to quickly become comfortable with familiar businesses areas or of technologies
- Good oral/written communication and expert presentation skills (including facilitation experience), which bring clarity and precision at all levels within the organization
- Good stakeholder management and influencing skills. Self-motivated and goal-oriented, capable of working in a fast paced and changing environment
11
Director Data Architecture Resume Examples & Samples
- Design, build, maintain, and optimize enterprise data architecture required to meet the analytics and production data needs of the business
- Partner with business stakeholders and Business Intelligence (BI) developers to define data requirements and ensure accuracy of all metrics and master data
- Develop and implement data models to optimally deliver on the needs of business stakeholders and BI developers
- Design, develop, and maintain ETL required to populate data models
- Establish clean, robust master data for use across business functions
- Perform complex data mining to provide analytical data sets to business users
- Evaluate and inform selection of technologies to build and optimize MSG's data solutions
- Establish and meet SLAs of the business in terms of data availability
- Triage and resolve issues across all areas of MSG's data solutions
- Establish testing protocols to ensure the accuracy of the data produced for the business
- Manage technical resources, contractors and vendors to ensure project requirements are met
- 10+ years data architecture experience
- Bachelor's degree in Computer Science, Engineering or related field
- Expertise in data modeling, ETL, SQL coding plus working knowledge of Big Data solutions
- Excellent communication skills with ability to engage with business stakeholders to effectively translate business requirements into technical solutions
- High level of enthusiasm for building innovative data solutions
- Ability to manage and direct work activity of junior resources and contractors
12
Director, Data Architecture Resume Examples & Samples
- Incident management when applications, processes or behavior is the root cause of issue
- Developing, reporting and maintaining all data related to file processing within the organization in order to be able to respond to questions regarding a particular client file at a moment’s notice with accuracy and confidence
- Driving to a deep understanding of why incidents happen and providing leadership and direction on long-term resolutions methodologies
- File reconciliation functions
- Overall service management for the data processing function including first and second level support and incident management
- Providing the linkage between IT and operations for data processing issues
- A four year degree from an accredited university in IT, Business or Math
- 6+ years of Business or IT Process Management
- A well-rounded understanding of IT processes
- A strong desire to drive to the source of truth as it relates to the data
- Excellent mathematical, statistical and analytical skills
- The maturity to manage others who may or may not be direct reports of this role
13
Data Architecture Manager Resume Examples & Samples
- Day to day management of 10 to12 data professionals - oversee workload, performance management, development, disciplinary actions, etc
- Participate in the development and implementation of long-term data visions and strategies that fulfill DST business drivers and objectives
- Lead data initiatives established from defined strategies
- Grow, evolve, and mature Data Management influence across the Enterprise - act as a lead data liaison between multiple companies, product development groups, or customers
- Participate in deployment of industry data practices for Master Data Management, Business Intelligence and Big Data analytics, reference data, data quality/ profiling, data integration, and Data Governance
- Participate in the strategic planning, design, and implementation of data architectures for multiple applications or lines of business
- Manage the ongoing coordination and prioritization of high-level and/or complex projects
- Establish and evaluate the overall cost of data-related software solutions, products, and services
- Participate in the preparation, development, and management of department budget(s) and forecasts
- Manage the continued development and implementation of organizational data standards and policies, ensuring alignment with company goals
- Strong management experience
- Proven data analysis background and leadership in data initiatives
- Solid communication & people skills - capability to address a variety of audiences to maximize the value of data throughout the enterprise
- Visionary – ability to develop data strategies to strengthen Data Management as a Valued Partner
- Proactive and action orientation – ability to identify opportunities to enhance data services and take action to implement
- Leadership and Team orientation– ability to foster a Data Management team culture
- Customer service orientation
- Responsibility - a strong work ethic as well as personal ethics and integrity
14
Executive Director for Data Architecture Team Resume Examples & Samples
- Has participated in active design and architecture of data platforms
- Prior experience in Business Intelligence and Analytics platform
- Prior experience in big data analytics stack (Hadoop, R, Python, Rules engine etc)
- Strong data analysis & project management skills
- Understands SOAP/XML based Service Architecture
- Strong documentation and presentation skills
- Team oriented and can work well within a global collaborative model
- Strong experience in Data warehouse and Reporting implementations
- Prior experience in Java, XML, SQL, Server side, Concurrent data centric programming
15
Manager, Data Architecture Resume Examples & Samples
- Lead a team of 15+ FTEs and contracted resources, managing day to day delivery activities in support of prioritized projects
- Drive data architecture and data modeling best practices within the team, ensuring performant, supportable data and reporting deliveries
- Partner with upstream and downstream teams across IT to ensure effective end to end project delivery
- Support roadmapping and visioning efforts related to next generation platforms/practices aligned to data and data management
- Balance project based delivery and timelines with holistic data design/strategy, optimizing data for reuse and delivery efficiency
- Minimum 5 years of experience in data architecture and data modeling delivery, including working knowledge of various data modeling approaches and practices (3NF, Dimensional, etc.)
- Expert knowledge using at least two of these specific RDBMS platforms: SQL Server, Teradata, Oracle
- Experience with ETL tools to build repeatable ETL processes (ex. Sql Server SSIS/DTS, Informatica PowerCenter, Teradata BTEQ/TPT)
- Ability to create/interpret ERD's, data flow models, and other technical documents. Database modeling skills including hands on familiarity with 3NF, star schema, and multi-dimensional designs
- Experience in using data modeling tool such as Powerdesigner or Erwin
- Minimum 3 years managing small to medium sized teams, developing team talent and driving team and individual goal setting and tracking
- Strong working knowledge of various SDLC practices in both Waterfall and Agile delivery environments
16
Head of Data Architecture Resume Examples & Samples
- Leading the bank-wide data architecture practice, setting the target state data architecture and developing the roadmap from current state, spanning both ‘traditional’ and ‘big data’ technologies. Create and drive the required program of work to achieve this roadmap through a portfolio approach of core data platform initiatives and working with divisional CIOs to embed data architecture improvement in their strategic programs. Ensuring that the target architecture reduces the TCO for managing a given unit of data and reduces the complexity of the data landscape to enable increased agility in sourcing and exploiting data
- Partnering with bank-wide Chief Data Officers towards development and implementation of the enterprise data strategy and the successful implementation of BCBS239 principles
- Being accountable for development and bank-wide adoption of data architecture standards and the selection of data management tooling. Ensure efficient and effective use of data architecture standards across the Software Development Life-Cycle. Set bank-wide adoption metrics and manage progress of both tools and standards
- Design governance of core data initiatives, working with CDO’s and divisional data architects, ensuring they adhere to group data strategy and align to target architecture roadmap. Co-ordinate across firm-wide data expertise to resolve strategic design topics related to enterprise data management
- Ensuring value added participation in data focused industry forums and working groups (eg. the EDM Council) and track and analyse data technology market developments, ensuring appropriate engagement with Credit Suisse in the form of proof of concepts or pilot activities where required
- Leading a globally distributed team of Data Architects and Governance Tooling Development & Support experts in addition to a central team of enterprise data architects and tooling specialists. Provide content related leadership to federated data architecture teams in the divisions and functions via dotted line. Develop and drive the operating model to align and drive the different data architecture teams across the bank in progressing towards the target data architecture
- Owning group-wide data governance tools (e.g. Collibra) and services which includes supporting the roll-out of the tools with development and architecture expertise and taking responsibility for ongoing development and support
- Creating and managing the data architecture and tooling framework that supports the creation of data governance artefacts such as ontologies, business glossaries, data models, lineage and data quality information whilst integrating them into the operational data architecture of the firm to reduce collection and maintenance effort and improve data convergence and consistency
17
Director, Data Architecture ODM Resume Examples & Samples
- Provide thought leadership role in the areas of advanced data techniques, including data quality, data governance, data modeling, data access, data integration, data visualization, data discovery, database design, and implementation
- Provide leadership in architecture, design, and building of operational data stores, data marts, and reporting environments
- Review, evaluate, design, implement, and oversee the maintenance of data stores and data marts that underpin all DOE student information systems
- Define and enforce architecture principles, standards, metrics, and policies
- Develop, document, and maintain enterprise architecture standards and practices
- Write, maintain, and document code and architecture to ensure continuity of service for all NYC DOE business units that work with student data
- Gather requirements and formulate reporting strategies and Key Performance Indicators from a business perspective
- Enable analytics-based decision-making across multiple stakeholder groups
- Lead the development, implementation, administration, and maintenance of policies and procedures for ensuring the data integrity and accessibility of systems that track and record student records for use by end users in other Central offices and divisions, field offices, and schools
- Develop and apply business requirements for specific systems, applications, or processes for complex IT solutions with a variety of audiences
- Engage both technical and non-technical partners in conversations about how strong database design and implementation supports organizational efficiency as well as teaching and learning
- Maintain current knowledge of DOE policies and data as well as state-of-the-art technology and methodologies to drive innovation from within DOE data management
- Make significant policy decisions with far-reaching, long-term implications for the efficiencies of programs, which entails managing and implementing the strategic redesign of data and systems in support of policy changes and aligning policy with the Chancellor’s priorities
- Graduation from an accredited college with a baccalaureate degree and four (4) years of full-time progressively responsible professional experience, as described in “1”; or
18
Head of Data Architecture Resume Examples & Samples
- Track record as Senior IT manager successfully leading architecture team as well as delivery teams ideally focusing on the implementation and operation of data warehouses, operational data stores, etc
- More then15 year hands-on experience in the financial industry, both from a wealth management as well as an investment banking perspective
- Excellent understanding of data architecture concepts in various domains from conceptual data architecture through to physical data model and message format
- Excellent conceptual and strategic thinking at an enterprise level combined with enough pragmatism to implement practical solutions
- Outstanding verbal, written and presentation communication skills
- Strong stakeholder management skills, towards data architects, business SMEs as well as towards senior management
- Strong understanding and vision of emerging trends in data technology, such as NoSQL databases, semantic technology, big data
- Familiarity with Data Management and Data Governance Tools (e.g. Collibra, IBM Infosphere, Informatica Metadata Manager)
- Experience working with financial industry data, such as reference, pricing or risk data
- Good know-how of the regulatory requirements around data governance/management (e.g. BCBS239)
- Hands on experience with Data Modelling tools (ideally Sparx-Enterprise Architect)
- University degree education ideally with focus on Information Technology, Finance or Business Administration
- Fluent written and spoken English, German an asset
- High degree of flexibility and “can do” attitude. Able to independently drive the agenda of your team
- LI-CSJOB*
19
Assistant Director Data Architecture Resume Examples & Samples
- Identify and solicit requirements, new business opportunities or pain points from the business and create strategic use cases that map to strategic business objectives
- Identify KPIs and anticipated ROI for the use cases
- Become fully conversant with the future state architecture and the current state landscape
- Jointly own the strategic roadmaps and keep them in sync with business strategy refreshes
- Participate in key data related initiatives and help ensure their fit
- Serve as a business architect and develop a good understanding of critical business processes and their data dependencies
- Minimum 5 years’ experience; undergraduate degree or equivalent experience
- Previous experience working in the Insurance industry
- Data Management expertise developing, executing and supervising plans, policies, programs and practices
- Development of Data Strategy and associated policies
- Information Management experience
- Ability to work with a diverse team of stakeholders to prioritize and manage many simultaneous deliverables
- Robust Data Architecture skills - sets direction for and possesses a deep understanding of data architecture and strategies which integrate with industry trends
- Enterprise Data Modeling expertise
- Financial industries background
- Track record of team leadership, talent acquisition and development
- Effective writing and presentation skills: clearly communicates complex technical and business concepts to leaders and key stakeholders in both technical and non-technical roles
- Experience with Hadoop including modeling and coding
- Portfolio delivery experience: engages in the full lifecycle experience, from planning to delivery and management of the solution lifecycle to produce solution designs that are viable and can be successfully constructed, implemented, operated and managed
- This is not an operational role. Should have a strategic outlook and bring thought leadership to every task
- Data Analysis- Input, understand, analyze and act on data
- Communication- Influence through a consultative approach
20
Lead, Analytic Data Architecture Resume Examples & Samples
- Represent the business in providing requirements and direction to technology teams in of support business operations which may include budget modeling
- Assists in the development of scope, cost schedule and deliverables to engage outside expertise to assist or deliver analytic data architecture projects
- Manages capability development within the delivery organization; including reviews, gap assessments and works to source and deliver strategies
- Oversees impact analyses and validation studies and market research through all stages
- Serves as a single point of accountability in the business to drive the end-to-end vision of enterprise data assets and domains
- Surveys the capital project and use case landscape to proactively identify data-centric investment opportunities tied to tangible business outcomes
- Drives the continued modernization of our data ecosystem to mature our enterprise data, reporting, and analytics capabilities
- Facilitates road mapping and prioritization exercises with leadership for strategic data investments concerning both new data ingestion and existing data re-architecture
- Identifies key business roles and responsibilities (data stewards, source system SMEs, primary data consumers) at the onset of pursuing data initiatives
- Manages expectations with the cross-functional stakeholder groups around delivery objectives, desired outcomes, and timelines
- Drives the continuous improvement of the Technology engagement model to get “more data, faster” from both new and existing data sources
- Partners with Technology to drive impact assessment and change management for new or enhancements data assets
- Promotes a data-driven culture by integrating data into business processes and operational systems
21
Senior Principal Data Architecture Resume Examples & Samples
- Defining data-specific architecture and hands-on creation of data models in distributed architecture using Apache Cassandra and Couchbase in Amazon cloud
- Creating, communicating and supporting non-functional requirements capabilities like scalability, performance, security in distributed data systems particularly within multiple cloud environments
- Working closely with geographically distributed development teams in multiple time zones
- Working across complex organizations to leverage shared assets, and expertise from other architects
- Mentoring teams to drive strategy, improve code quality, create and communicate standards and best practices
22
Group Data Architecture Portfolio Manager Resume Examples & Samples
- Proven track record working in data related domain (e.g. chief data office, data architecture, reference data…)
- Experienced programme manager
- Blend of business and technology experience
- Used to running large teams, globally, across cultures and departments
- Experienced working with regulators, auditors and senior executives
23
Manager Data Architecture Resume Examples & Samples
- The Data Architecture Manager will also manage relationships between IT and business owners to ensure that IT is proactively identifying and providing strategic opportunities to advance the business goals, through technology
- The Data Architecture Manager will provide leadership and guidance for developing and maintaining data modeling standards which adhere to industry best practices,patterns, applying enterprise thinking to drive value beyond the current project and for delivering high quality estimates, design and project deliveries
- Provide direction and oversight for data modelers on data profiling, design of relational and dimensional models, and data mapping documentation
- Interface with upstream system architects and program managers to resolve data issues and drive the acquisition of the data needed by business customers
- Evolve and support the basic tenets of good data architecture
24
Associate Director, Data Architecture Resume Examples & Samples
- Be an in-house expert on how Data and Programmatic advertising can provide ROI for clients
- Understand how platform/data technologies work and offer the ability to explain technical concepts in ordinary terms (be technically savvy - understand the opportunities and limitations)
- Oversee relationship with the DMP (Data Management Platform) and project manage the deployment and activation of DMP and other data technology solutions
- Partner with internal Programmatic arm to support DSP activation as well as advanced data use cases
- Share knowledge with client and internal teams regarding audience insights and results to impact business needs
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Director, Data Architecture Resume Examples & Samples
- Institute existing initial assessment and on-boarding process for new digital accounts to data management platform(s)
- Work with the Analytics, Ad Ops, Programmatic, Strategy and Investment teams to pioneer 100% compliance with industry and corporate privacy policies and data mgt. best practices. Act as a liaison between media and cross functional teams based on client needs (Analytics, Media, Tech, Creative)
- Supervise and project manage overall DMP implementation from media, site and 1st party data perspective, including
- 3 + years team managing (2 + direct reports)
- 8 years experience in digital media and ad technology
- In-depth technical knowledge of ad and marketing technology, including ad servers, rich media, dynamic creative, streaming video, OBA, ad verification, data management platforms, on-boarding solutions, DSPs, etc
- Strong project management skills and keen ability to delegate
- Strong understanding of digital media planning and management processes
- Previous agency-side experience
- Strong track record managing multiple client verticals across variety of third-party marketing measurement technology platforms
- Strong track record in quickly adapting to new ad measurement platforms in the most detailed of the sense (DCLK DCM enhancements, Sizmek, Rich Media, Video, Mobile web and in-app tracking deployment experience necessary)
- Ensuring that core functionality of team trainings are continually updated
- Improve the measurement of team and individual performance against objectives and operational metrics
- Institute existing on-boarding process for new hires, esp. related to training and evaluation of ops persons
- Knowledge management and execution for the Platform Solutions team
- Collaborate with Analytics, Ad Ops, Strategy, Finance, and Legal for operations & contract management of T&C’s
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Data Architecture, Enabling Functions Resume Examples & Samples
- Ensure that the target information and data target architecture is understood and implemented by the IDM build and run teams and partners
- Acts as a leader and advocate of data security management and the appropriate use of data within the Information and Business Intelligence target architecture
- 10+ years’ experience in information technology designing, implementing, and/or supporting Analytic Platforms (Data Warehouse/Hub, ETL/Transformations, and/or Business Intelligence) related activities satisfying complex information needs
- 7+ years’ experience in an information technology related field within the life sciences industry
- Experience with Big Data, Master Data Management (MDM), Data Visualization, and/or Data Virtualization for both structured and/or unstructured data
- Prior experience in working with global Life Sciences data is a plus
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Data Architecture, GMS Resume Examples & Samples
- Develop and sustain Enterprise Information and data target architecture and roadmap(s) for GMS
- Drive data architecture decisions on data, analytic and reporting initiatives for GMS
- Understand and evaluate current and emerging data, analytic and reporting technology product and platform trends. Coordinate proof of concepts in partnership with the Enterprise Info Center team
- Prior experience in deploying Analytic Platforms in a Cloud and On-Premise environment
- Minimum of a Bachelor’s degree in Computer Science, Information Systems, Computer Engineering or equivalent experience is required
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Data Architecture, R&D Resume Examples & Samples
- Develop and sustain Enterprise Information and data target architecture and roadmap(s) for R&D
- Drive data architecture decisions on data, analytic and reporting initiatives for R&D
- Develop sustainable, reusable design patterns and best practices that can be leveraged by the enterprise
- 7+ years experience in an information technology related field within the life sciences industry
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Manager, Data Architecture Resume Examples & Samples
- Initiate and maintain short- and long- term Information Architecture plans consistent with business objectives. These roadmaps should ensure efficient and consistent use of data architecture resources, and must correctly reflect business priorities
- Lead data architecture and data modeling services delivery within IT and business unit projects, effectively balancing delivery needs with core Center of Excellence responsibilities, ensuring that delivery projects are provided with data architecture and data modeling resources as needed, which COE goals for delivery of architecture plans and standards are met
- Establish and refine methods and procedures for management of data architecture and modeling artifacts within the enterprise. Engage with various key stakeholders to ensure such artifacts are utilized to full advantage
- Lead by example demonstrating exemplary work ethic, commitment to excellence and focus on business value to ensure the organization attracts, develops and retains the best people and fosters an environment which motivates a diverse team to fully use its capabilities in achieving desired business results
- Manage and develop Data Architecture team to ensure the best-in-industry data architecture and modeling resources. Continually improve the quality of team resources through career development, training and staffing
- Positively engage with various stakeholders within business units and technology, at various levels, to create lasting and constructive working relationships
- Provides comprehensive consultation to business units and IT department at the highest technical level for all aspects of data architecture design and modeling
- Establish a continuous practice of business requirements analysis in order to ensure the technologically correct, consistent and efficient use of data across the enterprise. In this context, define an enterprise-wide strategy for effective utilization and development of company’s data assets
- Identify, document and socialize solutions patterns and best practice related to use of company’s data assets
- Data Architecture
- Bachelor's Degree in Computer Science, Data Science, Information Technology or the equivalent related experience required. Master's Degree in Computer Science or related field of study preferred
- 5+ plus years in progressively responsible management and leadership positions
- Excellent senior-level written and oral communication skills in order to effectively communicate roadmaps, standards, goals, plans and status
- Minimum of 10 years diverse Information Technology experience working with complex data architectures and models required
- Experience working with relational and multidimensional data analysis and delivery software technologies required
- Experience working with logical and physical data models, including knowledge of both transactional and dimensional data modeling required
- Experience with stored procedures and data transition triggers required. Knowledge of Data Warehousing and OLTP environments across both thick and n-tier architectures required
- Demonstrated ability to make strong judgments, work effectively with all levels of clients and IT management and staff, and work at the highest technical level of all phases of system design and information delivery technologies required
- Database Administration experience: Expertise in one or more DBMS (Oracle, MS SQL, DB2, UBD, Teradata) Expertise in Data Modeling & Data Mining Tools (Er win, Designer/2000, Rational Rose, Power Designer, Embarcadero, System Architect
- Expertise in one or more OLAP, Reporting or Data Mining tools (Cognos, Brio, Microstrategy, Business objects, Crystal, IBI, Actuate, Arcplan, Proclarity, Hyperion Essbase, SAS, Microsoft Analysis Services)
- Experience in one or more ETL/ECTL tools (Informatica’s PowerCenter / PowerMart , Ascential's Data Stage, Cogno's Decision stream, AB Initio, MS SQL/2000 DTS, ETI, Acta)
- Experience with NoSQL databases (key/value stores, document stores, graph databases, Redis, Neo4J, Cassandra, MongoDB, Hadoop, etc)
- Experience with Data Warehousing/BI experience
- Experience with full life cycle development
- Understanding of architecture methodologies such as TOGAF
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Director of Data Architecture Resume Examples & Samples
- Lead strategy & architecture for Data Management and Business Intelligence
- Establish technology and data standards and evaluate emerging technologies
- Participate in review boards and governance process to ensure alignment with data governance and technology standards
- Create and maintain the Enterprise Data Strategy addressing Big Data, Integration, Warehousing, Analytics
- Develop and govern the Enterprise Master Data Architecture & Standards
- Lead proof of concept evaluations, vendor and product selection for data management technologies
- Jointly responsible with application development teams to drive implementation of data management roadmap
- Provide leadership, mentorship and guidance to data and development organizations towards alignment of data strategy
- At least 10 years related experience involving data architecture. Experience in the insurance and/or financial industry experience preferred
- Graduate or advanced degree preferred in computer science or information technology
- Experience with cloud based data frameworks
- Experience with conceptual, logical and physical data modeling for large databases and associated performance and optimization issues
- Demonstrated knowledge of data technologies including large relational databases, data management, data modeling and integration tools
- Knowledge and understanding of business requirement analysis and design documentation of data and system architectures
- Knowledge and understanding of data governance challenges and approaches associated with metadata, data quality and data stewardship
- Ability to interact and influence across all organizational levels on technical or business data solutions
- Experience with a wide application of technical principles, practices, and procedures
- Excellent verbal, written, and interpersonal communication skills
- Ability to articulate a complex problem, design, or build strategy
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Data Architecture Senior Manager Resume Examples & Samples
- Minimum of 10 years with basic technology architecture concepts including development, execution, and operations architecture
- Minimum of 10 years of experience with fundamental data architecture concepts including
- Data Modeling,
- Integration,
- Storage,
- Indexing,
- Security,
- Logging,
- Master Data Management and Archiving, etc
- Minimum of 5 years with data integration/ETL tools (open sourced or packaged), at least one if not both
- Minimum 2 years of big data architecture
- Ability to meet travel requirements- (Monday - Thursday) 100%
- Data strategy development
- Experience in data technologies such as Oracle, SQL Server, Teradata, Informatica, GoldenGate, ODS, EDW, Cassandra, Talend, Sqoop, Spark, and Kafka etc
- Cross-industry experience (financial services, resources, healthcare, government, products, communications, high tech)
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Data Architecture Manager Resume Examples & Samples
- Minimum of 5 years of experience with basic technology architecture concepts including development, execution, and operations architecture
- Minimum of 5 years of experience with fundamental data architecture concepts including data modeling, integration, storage, indexing, security, logging, data quality, master data management and archiving, etc
- Minimum of 3 years with data integration/ETL tools (open sourced or packaged), at least one if not both
- Minimum 1 year of big data architecture
- Excellent leadership and management skills
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AVP, Data Architecture Manager Resume Examples & Samples
- Identify and prioritize data needs that support Technical Underwriting strategic and operational priorities
- Build core capabilities to improve access to data in close collaboration with the Analytic Architecture team
- Deliver the prioritized data needs to enable Technical Underwriting to better manage the portfolios and deliver on their business priorities
- Build reusable, sustainable data assets that will provide a growing foundation of core data sets for Technical Underwriting
- Develop data apps or visualizations where appropriate to enable users to easily access, manipulate and utilize the data
- Manage a highly talented and diverse team, providing appropriate training, coaching, and development. Responsible for performance and talent management
- Bachelor’s Degree and 8 or more years of experience in the Business In Insurance, Operations Training and/or Change Management area
- Master’s degree in computer science, statistics, applied math or other related quantitative degree program
- Strong analytical thinking and problem solving skills
- 3 or more years of people development experience
- Solid project management and organizational skills to work on multiple priorities, establish and meet deadlines as well as manage the productivity vendors and project teams
- Ability to establish systems level architecture of the solutions, define subsystems and interfaces, and allocate development resources
- Experience structuring large complex data sets to support automated retraining of analytics
- Experience with Hadoop/Spark ecosystem and cloud implementations
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Lead Data Specialist Data Architecture Resume Examples & Samples
- Oversee the development of conceptual, logical and physical data models for the operational and analytical databases
- Work with business users and system owners to capture data requirements
- Work closely with the technical and application architects, and developers to implement the solution architecture
- Communicate physical database designs to, and work with, database administrator to implement databases
- Document data flows, identify appropriate data sources and manage redundancy
- Manage data integrity and data quality
- Design data structures and document data meanings, definitions and intended use, work with various departments/leaders and data stewards to make the “metadata” available
- Define and document the data architecture for operational databases, reporting and provisioning platforms, including the physical components and their functionality
- Support data strategies, standards, guidelines data quality process and governance across the enterprise
- Promote the goals of data integration, data stewardship, data quality and governance
- Provide recommendations into the selection, use and positioning of hardware, storage, and software products to support data architecture requirements
- Provide leadership in researching and architecting emerging technology solutions to meet business objectives
- Must have hands-on technical working experience with relational and dimensional data modelling and database design
- Must have worked with data –either as a provider (e.g. DBA) or data analyst (able to query complex data logic)
- Must have the ability to translate business needs into technical solutions
- Possess domain knowledge in financial services platforms and enterprise functions
- Must have technical working knowledge of database administration, database performance tuning, source & target data structures, ETL processes & products
- Must have technical working knowledge of data architectural approaches & patterns
- Demonstrated exposure to & working experience in assessing and introducing emerging technologies
- Demonstrated experience creating architecture roadmaps and strategy documentation
- Is comfortable in getting started without complete information, with changing requirements and constraints, working with these conditions to help drive to conclusion rather than waiting for them to be resolved
- Possess the ability to work collaboratively with other architects
- Possess the ability to see the “bigger picture”
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Manager, Data Architecture Resume Examples & Samples
- Define, design, and build dimensional databases
- Perform data design, database architecture, and metadata and repository creation
- Review object and data models and the metadata repository to structure the data for better management, quicker access, and efficient archiving
- Translate business needs into long-term architecture solutions
- Ability to reverse engineer data models and perform source to target data mappings & data analysis
- Document data flows
- Articulate best practices for architecture, design, and testing
- Advise senior leadership and project teams on the design of large, complex databases and data warehouses
- Bachelor’s degree with 10 years of experience. May substitute equivalent combination of education and experience
- Exceptional Data Warehousing and Modeling skills with proven track record designing large, complex Data Warehouse solutions pulling from multiple data sources
- Experience with Database Architecture for both SQL and NOSQL databases
- Development experience using data modeler tools; Erwin, Oracle J-Developer, Tableau, etc
- Development experience using Oracle 11gR2 and 12C
- Experience with data replication using DataGuard, Goldengate, and storage replication technologies
- Familiarity with Master Data Management, Business Intelligence, and data warehouse design and implementation techniques
- Knowledge of Big Data principles and tools
- Good understanding of ETL technologies (Informatica PowerCenter, Oracle Data Integrator, SSIS)
- Global company experience preferred
- Real Estate experience preferred
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Data Architecture & Solutions Director Resume Examples & Samples
- BS Degree in Computer Science/Engineering preferred
- Experience working with multiple Relational (Oracle, SQL Server, DB2 etc)
- 4+ years’ experience in designing solutions in Big Data platforms (CDH and HDP etc.) within organizations (e.g. patterns, anti-patterns, approaches, best practices, etc.)
- Must have good exposure to the Big Data stack such as Hadoop(HDFS + Yarn); Apache Spark; Hive; Pig; Impala; Flume; HBase; Map-R; Python; Oozie; Splunk; Storm; Datameer; Kognitio; Cassandra; MongoDB; Neo4J; NoSQL; Cloak; Crypto; Elastic Search; SolR; Storm; Kognitio
- Experience in successfully integrating open source software components into software solutions
- SQL tuning and performance optimization
- Must love problem solving
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Executive Director for Data Architecture Team Resume Examples & Samples
- Responsible for the delivery of MSIM’s Data Platform
- Responsible to build and manage relationship with key business & IT stakeholders
- People management and communication are key skills for this role. Must be able to manage a team 15 – 20 resources including employees, consultants
- Must have experience in agile delivery within data management & analytics on an enterprise scale distributed platforms
- Technical knowledge to architect, develop & review data & analytics solutions
- Knowledge to conduct data analysis and drive efficient solutions to resolve data inconsistencies
- Work with stake holders to define solution architecture, work tasks and estimates that will feed into the overall project schedule
- Display a creative approach to solving complex technical data analysis problems
- Coaches and demonstrates leadership by example to individuals and teams on the concepts, principles and technical implementations for continuous delivery
- Be an ambassador of the Data Platform and drive efficient means of showcasing the value of Data Platform across various opportunities
- At least 5 years’ experience in a leadership role for driving deliveries of enterprise data platforms and components
- At least 8 years’ experience in enterprise data warehouses
- At least 5 years’ experience with Service Oriented application integration using SOAP, REST
- At least 5 years’ experience with Message Oriented application integration using MQ
- Requires hands-on ability to design and architect data platforms
- Requires hands-on ability to conduct in-depth data analysis to identify discrepancies and patterns and drive innovative and efficient solutions
- Requires excellent analytical ability, consultative, communication, presentation and management skills, strong judgment and ability to work effectively with clients, IT management and staff
- Requires strong negotiation, facilitation and consensus building skills; In-depth knowledge of project planning methodologies and tools and IT standards and guidelines; knowledge of management concepts, practices and techniques
- Good Financial Service industry experience/knowledge (buy side is a plus)
- Experience in Hadoop, Hive, Kafka, Python, R
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Senior Manager Data Architecture Resume Examples & Samples
- 5+ years of experience managing cross-functional or BI architecture project teams – clients, developers, solutions design, production support, 3rd parties and vendors
- 1+ years of experience managing Hadoop application architecture, performance tuning and optimization
- Strong background in Business Intelligence and operations experience with Data warehousing projects and programs
- Excellent understanding of Data Warehousing lifecycle principles and best practices, with operations experience
- Excellent understanding of Software Development Lifecycle principles and best practices, with operations experience
- In-depth understanding of Hadoop Big Data ecosystem and best practices (Hortonworks is preferred), with operations experience
- Experience with Analytics, Predictive Modeling, Machine learning applications would be an asset
- BI/Data-Warehouse Tools and Technology Integration
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Director Enterprise Data Architecture Resume Examples & Samples
- Leads a team of Enterprise Data Architects
- Plays a leadership role in the definition and execution of the Enterprise Architecture roadmap
- Defines and achieves Enterprise Data Architecture roadmap by managing architectural runway supporting enterprise data model, enterprise data warehouse information management and advanced data analytics capabilities
- Provides data architecture thought leadership to cross-functional teams in the areas of advanced data techniques, including data modeling, data access, data integration, data visualization, data discovery, statistical methods, database design and implementation
- Partners with Business stakeholders, management, and teams to identify needs and guide the delivery of cost-effective, high-performance technology capabilities leveraging enterprise information architecture principles
- Practices self-leadership and promotes learning in others by soliciting and acting on performance feedback
- Establishes collaborative, cross-functional relationships; communicating information and providing advice to drive data architecture decisions forward
- Adapts to competing demands and new responsibilities, providing feedback to others, including upward feedback to leadership
- Influences, mentors and coaches team members, and fosters open dialogue amongst team members
- Demonstrated leader capable of partnering / driving Business and technology colleagues in establishing a highly functioning governance model
- A minimum of 5 years of progressively responsible experience in information/data architecture, during which both professional and management capabilities have been clearly demonstrated
- ITIL experience or certification
- Excellent negotiation skills
- Strong motivator and team player
- 2+ years’ experience in Healthcare Enterprise Information Management
- Certified Data Management Professional (CDMP)
- Agile Experience (Scrum, SAFe)
- Strong interpersonal skills and ability to work cross-functionally
- Extensive expertise in Oracle/MySQL database, as well as data modeling, both logical and physical
- Extensive experience in multidimensional data modeling, such as star schemas, snowflakes, normalized and de-normalized models, handling “slow-changing” dimensions/attributes
- Exceptional ability to effectively communicate with technical and Business colleagues and make complex ideas understood
- Extensive experience providing practical direction on information and analytics platforms in conjunction with EDW tools and technologies
- Experience using with project management using agile methodologies
- Experience with Data Warehouse and BI systems; extensive experience for collecting Business requirements from customers, and transform the requirements into DB data processes and data schema
- Problem solving – uses rigorous logic and methods to solve difficult problems with effective solutions. Probes various sources for answers, and leverages existing best practices when can. Will look beyond the obvious and doesn’t stop when faced with obstacles
- Action Oriented – Enjoys working hard and is full of energy for things that are seen as challenging. Not fearful of acting without a fully detailed plan
- Peer relationships – Can quickly find common ground and solve problems for the good of all with minimum noise; is a team player and gains trust and support of peers. Encourages collaboration and can be candid with leadership and peers
- Deals with ambiguity – can effectively cope and change, shifting gears comfortably and without upset when things are uncertain
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Enterprise Data Architecture Principal Resume Examples & Samples
- Assesses the value of emerging technologies by conducting opportunity assessments and implementing proofs-of-concept
- Collaborates on the development of the Information Technology strategic plan
- Develops and plans business processes that are aligned with company goals and strategies
- Develops enterprise organizational models
- Develops high level financial and business case models to assess technologies and assist in prioritization of the Information Technology portfolio
- Develops strategies, road maps and business systems architectures for information technology and the business
- Develops technical and modeling standards across Information Technology and the business
- Facilitates business and systems decisions
- Integrates business processes with supporting systems that provide end- to-end solutions
- Leads all phases of enterprise architecture development in support of business objectives: defining scope, modeling systems, analyzing requirements and planning implementations
- Provides coaching, direction and leadership support to team members in order to achieve partners, business and customer results
- Provides functional expertise on projects; coordinating and facilitating requirements gathering
- Overall information technology experience (15 years)
- Systems or application development experience (10 years)
- Designing and implementing new technology proof-of-concepts (7 years)
- Enterprise architecture experience (7 years)
- Functional and systems modeling (7 years)
- Working in a variety of technical environments (7 years)
- Development of enterprise and departmental strategic plans (5 years)
- Project management (5 years)
- Indirect management of people (3 years)
- Business process design and analysis (2 years)
- Direct management of people (Experience)
- Information Technology infrastructure (Experience)
- Ability to communicate clearly and concisely, both orally and in writing
- Ability to facilitate resolution of issues
- Ability to interact with senior management and communicate at all levels of the organization
- Ability to excel in a highly matrixed environment; ability to influence others without relying on direct reporting relationships
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Data Architecture Resume Examples & Samples
- Initiate timeline to design, build, and deploy database applications
- Manage data architecture requirements including how many data feeds and frequency of updates
- Implement data QA process across various platforms
- Manage the retrieving, compiling, and formatting of large volumes of data
- Utilize syndicated research tools to retrieve various types of data (macroeconomic, marketing, business, etc.)
- Manage project timelines and deliverable schedules
- Guide Data architects to build SQL and/or SAS scripts to manipulate data and / or provide specific build instructions for off-shore programmers
- Manage communications between onshore and offshore implementation team during build phase. Review and manage the offshore progress on daily basis
- Ensure applications are properly maintained by working with off-shore maintenance teams to ensure all cycles are properly completed, with strong emphasis on Quality Assurance of data and settings
- Manage communications between project analysts and technical support team to obtain technical data support and enable data feed upgrades
- Work with agency partners to understand the media campaign flows and execution process of media plans
- Manage data vendors to establish data transfer process (set template, frequency and logistics)
- Lead data platform product release meetings to clients
- Design and guide analysts to implement customized media performance dashboards using Tableau
- Lead client facing deliverables and present analytical solutions and marketing performance insights to clients
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Data Architecture & Management Director Resume Examples & Samples
- Utilizing Oracle into projects, in addition to knowledge of other RDBMS solutions (e.g. MS SQL, Ingres, MySQL)
- Utilizing and applying cloud database design into projects including AWS and/or Azure as well as knowledge of big data solutions (Hadoop, Spark, or any NoSQL)
- Leading major information management programs
- Operationalizing data governance and data quality
- Utilizing and applying the major big data solutions and products available in the market into projects
- Creating and deploying industry leading practices and methodologies
- Managing and leading technical big data teams
- Utilizing and applying data modeling and/or predictive modeling into projects; and,
- Working with Partners, Staff, and Clients to assess needs, provide assistance, and resolve problems, using excellent problem-solving skills, verbal/written communication, and the ability to explain technical concepts
- Providing strategic direction of the platform while managing tactical DBA work and supporting agile development effort
- Facilitating the migration of database environments
- Providing architecture and technology leadership across a platform in support of Big Data and Cloud Data technologies
- Collaborating and providing strategic direction for short and long-term practice commercialization goals
- Working with the technical and subject matter experts to understand the complex technological system in order to produce integrated end-to-end solution options
- Driving Oracle RDMS configuration, standards, and industry leading practices; and,
- Facilitating short and long-term resource alignment and hiring needs to support the vision and strategic direction of the practice
