Enterprise Data Office Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the enterprise data office job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies

Tailor your resume & cover letter with wording that best fits for each job you apply

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

CHOOSE THE BEST TEMPLATE - Choose from 15 Leading Templates. No need to think about design details.

USE PRE-WRITTEN BULLET POINTS - Select from thousands of pre-written bullet points.

SAVE YOUR DOCUMENTS IN PDF FILES - Instantly download in PDF format or share a custom link.

Create a Resume in Minutes

S Hilpert

Samanta

Hilpert

596 Evie Inlet

Phoenix

+1 (555) 321 1427

596 Evie Inlet

Phoenix

Phone

p +1 (555) 321 1427

Experience Experience

Phoenix, AZ

Enterprise Data Office Data Analyst

Phoenix, AZ

McDermott, Rowe and Sawayn

Phoenix, AZ

Enterprise Data Office Data Analyst

Develop solutions and recommendations for improving data integrity issues. Analyze data issues and work with development teams for problem resolutions
Understand data governance principles and how they apply. Create data quality metrics and scorecards. Work on ad-hoc data requests
Analyze data issues and work with development teams for problem resolutions
Best practices for Hadoop development, debugging, and implementation of workflows and common algorithms
Create and maintain data analyst competency and best practices
Working knowledge of Statistical Analysis System (SAS) and other analytic tools
Work on ad-hoc data requests

Los Angeles, CA

Enterprise Data Office Records Management Analyst

Los Angeles, CA

Simonis-Schmeler

Los Angeles, CA

Enterprise Data Office Records Management Analyst

Provide input to support planning and prioritization of business systems-related activities
Identify potential risks associated with systems and/or processes and work to mitigate those risks
Utilizing personal computer and/or mainframe-based systems and software, compile data and prepare reports, graphs and charts to assist with establishing policies, procedures and quality control standards
Utilizing personal computer and/or mainframe based systems and software, compile data and prepare reports, graphs and charts to assist with establishing policies, procedures and quality control standards
Evaluate on a continuing basis current policies and procedures to ensure they meet changing business unit conditions. Make recommendations involving processes and systems
Provide input and counsel to support planning and prioritization of business systems-related activities
Participate in small work teams in development of strategic plans, leveraging both technical solutions and business process improvement

present

Houston, TX

Enterprise Data Office Data Services Manager

Houston, TX

White Group

present

Houston, TX

Enterprise Data Office Data Services Manager

present

Direct the development, data analysis, and technical project management functions in support of strategic enterprise data capabilities
Working knowledge of big-data technologies (e.g. Hadoop, Mongo, Spark) and enterprise approaches (e.g. consolidated, federated, hybrid)
Assist in development and implementation the data warehousing strategy in partnership with Data Strategy and Architecture team in support of master data management, metadata, information lifecycle management and business intelligence
Review and evaluate data and information processes on a regular basis, recommending, developing and implementing continuous process improvements to include providing input to data and information strategic planning activities in EDO, IT and lines of business
Lead the design, development and deployment of technical policies, standards and controls for data movement and administration. Create streamlined procedures to ensure efficient and effective data operations
Collaborate closely with peer teams to ensure coordination, synergies and seamless overall EDO execution
Responsible for assigned personnel regarding employment, career development, performance evaluations, promotions, transfers and terminations within established policies and guidelines to include completion and delivery of personal development plans (PDPs) and implementation of salary, officer and other personnel-related changes

Education Education

Bachelor’s Degree in Information Technology

University of Southern California

Bachelor’s Degree in Information Technology

Skills Skills

Good knowledge of database structures, theories, principles, and practices
Experience deploying, configuring, monitoring, and troubleshooting Big Data clusters
Hadoop administration, installation and monitoring experience
Experience at scale with Tomcat and the JVM, including tuning, troubleshooting, and monitoring
Knowledge of the internals of MapReduce and HDFS and how to write MapReduce code
Best practices for Hadoop development, debugging, and implementation of workflows and common algorithms
How to leverage Hive, Pig, Sqoop, Flume, Oozie, and other Hadoop ecosystem projects
Creating custom components such as WritableComparables and InputFormats to manage complex data types
Writing and executing joins to link data sets in MapReduce
Ability to write Pig Latin scripts

Create a Resume in Minutes

4 Enterprise Data Office resume templates

Read our complete resume writing guides

Enterprise Data Office Technical Lead Resume Examples & Samples

Develop/invent highly innovative solutions within multiple technologies, theories and/or techniques that impact Enterprise Data Office (EDO) strategy
Build strong partnerships with senior management to drive the development of the Bank's data strategy across all functions
Instruct, direct and mentor other member of the team
Establish and maintain excellent process and structure, including effective team communication so that roles, requirements, dependencies, decisions and workflow are clearly defined and expectations managed
Maintain a high level of awareness of, and be an advocate for, current and emerging data, technology and industry strategies and trends
Bachelor’s degree in information systems-related field, or equivalent education and related training
Twelve years of industry-recognized experience and leadership
Business acumen and effective communication skills
Ability to establish strong relationships with the corresponding technical community
Ability to serve as a visionary concerning future technological capabilities and operational scenarios; ability to create new business models and technologies
Ability to effect change
Ability to unify activities within the BB&T technology community, coordinating with other businesses and engineering organizations, as needed
Master’s degree

Enterprise Data Office Data Assessment Analyst Resume Examples & Samples

Assist with the establishment of policies, standards, guidelines and best practices for the Bank through design and structure of control frameworks
Analyze data within assigned enterprise data entities compared to source information to assess the accuracy and correctness of data
Identify, compare and escalate data quality problems
Utilize tools to analyze data according to defined business rules and procedures
Document and publish data quality errors
Communicate data quality non-compliance to data stewards and business users
Update reports, track and publish data quality assessments
Research and review regulatory guidance and apply to framework
Research industry trends
Bachelor’s degree in Business Administration, Information Systems or related field, or equivalent education and related training
Basic knowledge of balance sheet, income statement and cash flow information
Ability to understand business rules and data lineage, work with varying data formats, and develop metrics to monitor data quality
Ability to work with multiple groups to resolve data quality issues
Sound analytical skills
Two years of commercial lending experience
Experience in BB&T lending functions
Knowledge of underwriting, documentation and servicing across all types of lending activities including commercial loans, small commercial loans, retail loans and other types of specialized lending (e.g. mortgages, leasing), in addition to similar knowledge of non-lending functions
Proficiency in BB&T standard software packages

Enterprise Data Office Data Analyst Resume Examples & Samples

Hadoop development and implementation
Loading from disparate data sets
Pre-processing using Hive and Pig
Deigning, building, installing, configuring and supporting Hadoop
Translate complex functional and technical requirements into detailed design
Perform analysis of vast data stores and uncover insights
Maintain security and data privacy
Create scalable and high-performance web services for data tracking
High-speed querying
Managing and deploying HBase
Being a part of a POC effort to help build new Hadoop clusters
Test prototypes and oversee handover to operational teams
Propose best practices/standards
5+ years in Unix/Linux experience required (particularly in the areas of Filesystems, Performance, and Security)
Good knowledge of database structures, theories, principles, and practices
Experience deploying, configuring, monitoring, and troubleshooting Big Data clusters
Must be proficient in BASH and must have experience with either Python OR Ruby
Hadoop administration, installation and monitoring experience
Experience at scale with Tomcat and the JVM, including tuning, troubleshooting, and monitoring
Knowledge of the internals of MapReduce and HDFS and how to write MapReduce code
Best practices for Hadoop development, debugging, and implementation of workflows and common algorithms
How to leverage Hive, Pig, Sqoop, Flume, Oozie, and other Hadoop ecosystem projects
Creating custom components such as WritableComparables and InputFormats to manage complex data types
Writing and executing joins to link data sets in MapReduce
Ability to write Pig Latin scripts
Hands on experience in HiveQL
Advanced Hadoop API topics required for real-world data analysis
Experience at scale with Kafka, Zookeeper
Experience at scale with Relational Databases
Experience with infrastructure automation tools like Puppet, Chef
Gather, review, analyze, profile, validate and map system data into the data warehouse to meet reporting and analytical business needs
Perform complex data analysis and troubleshooting on data-related issues reported by production support and other teams
Analyze business requirements and develop effective technology solutions consisting of extract, transform and load (ETL)
Develop solutions and recommendations for improving data integrity issues. Analyze data issues and work with development teams for problem resolutions. Identify problematic areas and conduct research to determine the best course of action to correct the data, identify, analyze and interpret trends and patterns in complex datasets
Determine and analyze line of business requirements, use system data, and provide input needed by various departments and senior management to produce business reports
Work with ETL developers to test and validate data attributes and with other business analysts to ensure data is integrated consistently, regardless of the source system
Possess the highest level understanding of the Bank's business systems and industry requirements. Assist in the business process redesign and documentation as needed for new technology
Translate high level business requirements into functional specifications for the IT organization and manage changes to such specifications
Work with source system business analysts to understand system nuances and resolve data issues
Take ownership of issues through resolution, including close coordination between business analysts
Create and maintain clean, clear and accurate data
Creation and maintenance of data analyst competency and best practices
Understanding of data governance principles and how they apply
Creation of data quality metrics and scorecards
Work on ad-hoc data requests
Perform regular audits of data
Bachelor’s degree in Information Technology, Information Systems, Computer Science or business-related field, or equivalent education and related training
Ten years in a role of data analysis, statistical analysis, data transformation, data reconciliation and/or sophisticated data presentation
Experience in ETL development using standard tools
Strong issue and problem management, including root cause analysis and troubleshooting skills
Ability to perform analysis with little to no direction, proactively identifying potential issues in the data and conducting research to determine the best course of action to correct the data
Understanding of Enterprise Data Warehouse concepts and prior experience applying that understanding to query data in a Very Large Database (VLDB) environment
Familiarity in using data analysis tools
Strong technical documentation skills
Ability to work with multiple areas within the Bank to determine business objectives and data requirements
Ability to identify problematic areas and conduct research to determine the best course of action to correct the data
Strong technical leadership skills
Ability to interpret data that is not well defined or documented and develop recommendations based on findings
Strong analytical, organizational and problem-solving skills as well as strong interpersonal skills with the ability to work with management, peers and Enterprise Data Office (EDO) staff
Strong presentation and communication skills, both written and verbal
Ability to lead and direct team members in completion of complex projects
Understanding of business intelligence and business intelligence software packages
Experience with Informatica
Background in banking and general banking systems
Working knowledge of Statistical Analysis System (SAS) and other analytic tools
Ability to recommend the growth, addition and retirement of data analytics toolsets

Enterprise Data Office Data Architect Manager Resume Examples & Samples

Create and manage data strategy and roadmap to influence data and LOB decision making. Demonstrate broad experience and skill in data warehousing technology and practices necessary to negotiate and persuade technology direction on topics such as extract, transform and load (ETL), metadata, master data management (MDM), data governance, business intelligence and similar topics
Provide focus and direction to reduce data redundancy, improve data availability, and improve data quality across all technology and business applications, including data warehousing and transactional applications
Partner with IT subject-matter experts to find data (resource) sharing opportunities, ensure that data is easily shared across the enterprise and that business personnel have access to data, as required
Help coordinate and prioritize required IT data management initiatives among LOBs
Participate in architecture reviews of applications as part of the project lifecycle. Ensure that data governance processes are established and integrated in existing systems as well as in the formation of new and revised systems
Responsible for managing the complete life cycle of a Hadoop solution
Responsible for creating Big data architecture patterns/frameworks for ETL activities and Analytics
Deep understanding and experience with Hadoop ecosystem. Able to understand and explore the constantly evolving tools within Hadoop ecosystem and apply them appropriately to the relevant problems at hand
Experience in working with a Big Data installation in production environment with major distributions
Hands-on experience with large scale Big Data environments capacity planning, performance tuning and monitoring
Experience in Java, Map Reduce RDBMS, Hive/Pig, Scala, Linux/Unix technologies
Sound knowledge of relational databases (SQL) and experience with large SQL based systems
Strong IT consulting experience in various data warehousing engagement, handling huge data volumes, architecting big data environments
Deep understanding of algorithms, data structures, performance optimization techniques and software development in a team environment
Benchmark and debug critical issues with algorithms and software as they arise
Lead and assist with the technical design/architecture and implementation of the Big data cluster in various environments
Able to configure/optimize the cluster for various workloads
Able to handle/administer Hadoop Clusters and automating infrastructure activities wherever necessary
Able to guide/mentor development team for example to create custom common utilities/libraries that can be reused in multiple big data development efforts
Exposure to ETL tools e.g. Informatica, NoSQL and knowledge of SAP HANA/ Netezza a plus
Strong interpersonal and communication skills and the ability to work effectively with a wide range of constituencies in a diverse business community
Strong project, process and program management skills

Enterprise Data Office Records Management Analyst Resume Examples & Samples

Participate in small work teams in development of strategic plans, leveraging both technical solutions and business process improvement. Ability to arrive at conclusions and make recommendations to management based on findings
Contribute to Business Recovery Plans and exercises for line of business (LOB)-supported systems and processes
Identify potential risks associated with systems and/or processes and work to mitigate those risks
Perform user acceptance testing of LOB-defined requirements for changes and upgrades to the mainframe and distributed applications maintained by the LOB. Evaluate systems are functioning with LOB processes, as needed, when testing compatibility of new and/or upgraded software
Coordinate system implementation and training that becomes necessary as a result of system or policy changes
Serve as LOB systems expert for assigned systems
Utilizing personal computer and/or mainframe based systems and software, compile data and prepare reports, graphs and charts to assist with establishing policies, procedures and quality control standards
Evaluate on a continuing basis current policies and procedures to ensure they meet changing business unit conditions. Make recommendations involving processes and systems
Provide input and counsel to support planning and prioritization of business systems-related activities
Provide on-call support based on the LOB needs
Bachelor’s degree or equivalent education and related training
Two years of experience in developing and implementing electronic records metadata and taxonomy
Experience in banking, financial services or related field
Demonstrated experience and skill in Records Management applications or other approved automated record systems
Ability to work independently demonstrating sound judgment and decision-making skills in a detailed and deadline-oriented environment
Ability to understand technical problems and solutions in relation to existing business environment and be proactive in identifying and applying emerging business technologies and processes
Ability to work flexible hours (e.g. evenings, weekends, on-call support)
Ability to reason logically
Experience working with SharePoint 2010 or higher
Experience working with IBM Filenet Enterprise Records Manager

Enterprise Data Office Records Management Analyst Resume Examples & Samples

Participate in small work teams in development of strategic plans, leveraging both technical solutions and business process improvement
Assist with user acceptance testing of LOB defined requirements for changes and upgrades to the mainframe and distributed applications maintained by the LOB
Assist with system implementation and training that becomes necessary as a result of system or policy changes
Utilizing personal computer and/or mainframe-based systems and software, compile data and prepare reports, graphs and charts to assist with establishing policies, procedures and quality control standards
Evaluate on a continuing basis current policies and procedures to ensure they meet changing business unit conditions
Provide input to support planning and prioritization of business systems-related activities
Sound verbal and written communication skills
Sound organizational and interpersonal skills
One year of Records Management experience
Experience working with Filenet and/or SharePoint as it relates to Records Management
Experience working with IBM Filenet Records Management module

Enterprise Data Office ETL Developer Resume Examples & Samples

Successfully design, deploy and evolve ETL solutions to meet business requirements
Validate design with business requirements to ensure completeness of the ETL solution. Actively contribute to design reviews. Participate in design workshops, providing technical insight and knowledge
Interpret written business requirements and technical specifications to create and maintain mapping design documents
Prepare system and data specifications and diagrams, and develop coding logic flowcharts
Work with data architects to develop and design data models and data processing and transformation rules for proper data representation
Create, document and implement test plans and scripts
Work with data architects to perform dimensional modeling and serve as subject matter expert on slowly changing dimensions, historic data capture, error capture and reporting
Troubleshoot data issues and incorporate techniques for data auditing and data quality assurance
Assist in ETL tool upgrades, service pack installations and administration of ETL tool environments
Optimize performance of ETL tool mappings, processes and load routines
Assist in development of best practices and guidelines to ensure complete, accurate and maintainable ETL solutions
Estimate development efforts accurately and be able to work on multiple simultaneous timelines
Perform reviews of ETL jobs for conformance to standards and appropriate development techniques
Bachelor's degree or equivalent education and related training
Eight years of experience with data warehousing and database programming
Eight years of experience in analysis, design, development, customization, implementation and testing of software applications and products
Experience in developing ETL programs, utilizing ETL toolset
Experience building queries, including creating sub-queries, minus/union and inline queries
Experience with performance tuning ETL tool mappings and sessions
Experience with performing ETL tool upgrade
Experience with data warehouse architecture, data quality and data profiling, with a strong understanding of database concepts (e.g. referential integrity, indexes, keys)
Knowledge of best practices for common ETL design techniques such as change data capture, key generation, error handling, logging and optimization
Ability to successfully design, deploy and evolve ETL solutions to meet business needs
Ability to validate design with business requirements to ensure completeness of an ETL solution
Capable of capturing and modeling complex business cases in terms of tables and relationships
Ability to work with a wide range of business and technical staff
Strong analytical, troubleshooting and problem-solving skills
Ability to lead and direct team members
Experience working with Informatica

Enterprise Data Office Data Analyst Resume Examples & Samples

Perform data analysis and troubleshooting on data-related issues reported by production support and other teams
Work with extract, transform and load (ETL) developers to test and validate data attributes and with other business analysts to ensure data is integrated consistently, regardless of the source system
Create and maintain data analyst competency and best practices
Understand data governance principles and how they apply
Create data quality metrics and scorecards
Bachelor’s degree in Information Technology, Information Systems, Computer Science or Business-related field, or equivalent education and related training
Eight years in a role of data analysis, statistical analysis, data transformation, data reconciliation and/or sophisticated data presentation
Experience in ETL Development using standard tools
Ability to perform analysis with little/no direction, proactively identify potential issues in the data and conduct research to determine the best course of action to correct the data
Ability to work with multiple areas in the Bank to determine business objectives and data requirements
Understanding of Business Intelligence and Business Intelligence software packages
Ability to recommend the growth, addition, and retirement of data analytics toolsets

Enterprise Data Office Data Business Solutions Analyst Resume Examples & Samples

Lead analysis effort to gather, formulate, define and design solutions to the most complex business problems. Formulate and define systems scope and objectives based on both user needs and a thorough understanding of business systems and industry requirements
Lead analysis effort to interpret client requirements into documented system requirement specifications in accordance with approved standards and procedures. Devise or modify procedures to solve complex problems considering computer equipment capacity and limitations, operation time, and form of desired results. Analyze business and user needs, document requirements, and translate into proper system requirement specifications
Translate high-level business requirements into functional specifications for the Enterprise Data Office (EDO), and manage changes to such specifications
Facilitate working sessions to help clients to arrive at high and low level EDO development business requirements
Maintain an expert knowledge of assigned computer applications and a working knowledge of other applications operating in the same or integrated environments. Possess full technical knowledge of most phases of systems analysis, and consider the business implications of the application of technology to the current and future business environment
Maintain an expert business and operations knowledge of direct and associated clients in order to add value in analyzing complex and highly integrated projects
Act as team leader for projects with moderate budgets or of short-to-intermediate duration
Bachelor’s degree in Information Technology-related field, or equivalent education and related training
Five years of experience in application analysis and design
2-3 years development experience in MicroStrategy, Tableau, or QlikView

Enterprise Data Office Data Business Solutions Analyst Resume Examples & Samples

Analyze complex business requirements and develop effective technology solutions. High level technical contributor with expertise in particular business processes responsible for formulating systems scope and objectives relative to the Bank's business plan and industry requirements
Develop strong business domain expertise, as needed. Provide technical guidance concerning the business implications of the application and various systems. Assist in the business process redesign and documentation as needed for new technology
Translate high-level business requirements into functional specifications for the Enterprise Data Office (EDO) and manage changes to such specifications. Research and debug complex technical problems
Facilitate working sessions to help clients to arrive at high and low-level EDO development business requirements
Work with project teams, lines of business and other data resources to analyze and develop technology solutions to satisfy business needs. Act independently or as a member of a project team. Provide technical consulting on complex projects
Provide process definition and best practices leadership and convince others of the soundness of a technical approach. Devise and/or modify procedures to solve the most complex technical problems related to computer equipment capacity and limitations, operating time and form of desired results. Create detailed specifications from which programs will be written
Help to define and direct the BB&T EDO business analysis best practices and methodology
Understand and document current and future state business processes, and proposed requirements’ effect on those business processes
Provide clear status reporting for all ongoing work
Stay current with emerging technologies, their strengths and weaknesses and their application to business solutions
Instruct, direct and mentor other members of the team
Bachelor’s degree in Business or Information Technology-related curriculum, or equivalent education and related training
Eight years of experience and high proficiency with the following technologies
Information security best practices
Information Technology performance/scalability principles
Relational database technologies
Mainframe, distributed, Web and/or networking technologies
Design tools and techniques
Application development methodologies
Technology testing and change implementation best practices
Ability to direct other team members and train others
Experience in the direct management of lower-level business analysts and contractors
Experience conducting work performance reviews for the business analyst competency
Previous experience in the development of a business analysis competency, including best practices, methodology, and standardized business requirements and business specification documents

Enterprise Data Office Resume Examples & Samples

Bachelor’s degree in Business, Economics, Finance, or Accounting, or an equivalent combination of education and work experience
5 years of work experience including audit, operations, process engineering or risk management
Strong knowledge of SOX and other industry-related regulatory requirements, and operational risk concepts
Professional communications and presentation skills
Demonstrated leadership or management skills
Solid knowledge of risk management principles and controls, broad-based business practices, and deep understanding of segment/function business processes, with the ability to assess levels of adherence/execution and identify risk/control improvement opportunities
Experience in the financial services industry

Enterprise Data Office Data Business Solutions Analyst Resume Examples & Samples

Data Sciences, analytical solutions
QlikView, Microstrategy, Tableau
Scrum Master or Scrum Coach

Enterprise Data Office Business Intelligence Specialist Resume Examples & Samples

Design, develop and evolve presentation objects, reports and dashboards for delivery of BI solutions to meet business needs
Develop and design data models, semantic layers, and data processing and transformation rules for proper data representation
Perform dimensional modeling and serve as subject matter expert on slowly changing dimensions, historic data capture, error capture and reporting
Prepare system and data specifications and create appropriate documentation such as business dimensional models and data mapping diagrams
Validate design with business requirements to ensure completeness of the BI solution. Actively contribute to design reviews. Participate in design workshops, providing technical insight and knowledge
Apply architectural and engineering concepts to design a solution that meets operational requirements, such as scalability, maintainability, security, reliability, extensibility, flexibility, availability and manageability. Ensure that solutions are designed for optimal access and usefulness, and leverage existing technologies, when possible
Develop and apply a structured BI architecture approach and methodology that aligns with the key strategies of the organization
Define, implement and refine the BI solution development methodology based in industry best practices
Participate and lead research and development efforts (e.g. proofs of concept, prototypes) as subject matter experts when introducing new technologies
Identify data quality issues and support data governance initiatives by participating in necessary activities including data profiling
Communicate results to customers clearly and professionally, demonstrating the value and usability of the data product
Create and develop end user training and documentation for BI solutions
Oversee ongoing support and maintenance of deployed BI solutions
Bachelor's degree in a quantitative discipline, or equivalent education and related training
Four years of experience in analysis, design, development, customization, implementation and testing of software applications and products
Two years of presentation layer development experience
Two years of experience with data warehousing and database programming
Ability to successfully design, deploy and evolve BI solutions
Knowledge of BI tool (e.g. MicroStrategy, SAS, Tableau, QlikView, SAP) architecture, functions and features
Experience with queries, data warehouse architecture, data quality and data profiling; strong understanding of database concepts like referential integrity, indexes and keys
Ability to work independently or in conjunction with a team
Master’s degree or PhD in quantitative discipline
Advanced knowledge in developing queries and procedures in SQL, SAS, or other programming languages
Experience in Hadoop and/or Netezza data environments
Process management training and/or certification

Enterprise Data Office Data Modeler Resume Examples & Samples

Work with data analysts, application programmers, business user personnel and project managers to gather data requirements to support creating logical and physical data models for applications and Business Intelligence (BI) reporting, including those with specialized or complex requirements
Develop, manage and update data models, including physical and logical models of the data warehouse, data mart and staging area
Lead design reviews of data models and other relevant metadata to ensure consistency, quality, accuracy and integrity. Promote and enforce adherence to corporate information architectures, policies and standards
Consult with Database Administrators concerning the creation of physical data schema from the physical model by making recommendations, designing referential integrity, and ensuring business requirements are satisfied
Generate Data Definition Language (DDL) scripts for the update of database objects so that the database reflects the structure represented by the physical model
Consult with application programmers and database users concerning how to use the database as designed and how to navigate efficiently within the database
Serve as a project leader on complex internally assigned projects. Analyze, evaluate and make recommendations concerning proposed data analysis products, as well as products to facilitate the extraction, transformation, loading and reporting of data
Develop, document and adhere to Enterprise Data Office (EDO) standards for the use, control, creation and maintenance of metadata. Assist with the planning and implementation of the corporate metadata architecture. Develop and maintain documentation and training materials for the organization’s metadata facilities and their use
Support data architecture requirements for multiple development teams, advising teams on data model requirements and impact analysis
Bachelor’s degree in computer science-related field, or equivalent education and related training
Ten years of experience, including six years of hands-on experience working as a data analyst and two years of application programming and analysis experience; must have experience with Erwin or related data modeling tools
Experience in database design and data modeling for medium to large projects
Knowledgeable in all areas of data management and application development lifecycle; possess solid understanding of metadata systems and metadata architecture; knowledgeable in modeling for data warehouses, including dimensional modeling; possess knowledge and understanding of business needs, with the ability to establish and maintain high level of customer trust and confidence
A strong understanding of and competence with tools for entity relationship modeling
Skilled in requirements gathering for medium to large projects with strong analytical and problem-solving background
Sound written and verbal communication skills
Ability to work as a member of a team
Ability to travel, occasionally overnight
Experience with Erwin Data Modeler
Experience with Structured Query Language (SQL)

Enterprise Data Office Data Analyst Resume Examples & Samples

Eight years in a role of data analysis, statistical analysis, data transformation, data reconciliation and/or sophisticated data presentation, must have experience writing SQL queries, experience working with SAS, SSRS, SSIS and DB2 are plus
Experience in ETL Development using standard tools, preferably Informatica and IDQ
Strong presentation and communication skills, both written and verbal - strong verbal communication skills are a must

Enterprise Data Office Data Analyst Resume Examples & Samples

Gather, review, analyze, profile, validate and map system data into the Enterprise master data ecosystem to meet business needs
Support the creation business and functional requirements
Assist in the testing software life-cycle for master data
Experience with IBM Master Data Management Advanced Server software preferred

Tech Lead-enterprise Data Office Resume Examples & Samples

Responsible for technical leadership role in supervising, planning and delivering highly complex projects, consisting of a large number of deliverables, complex dependencies, and significant resource needs
Directly report to program manager
Work closely with project manager, business analysts, architects and other partners to ensure timely delivery of all project components
Maintain status reports, manage open risks and action items,
Clear and concise communication, interpersonal, organizational and team building skills, business judgment, and proven expertise in directing the efforts of a technical staff
Thorough understanding of end-to-end Data Warehousing architecture, source-to-target mappings, reporting
Management of offshore technical team
Working knowledge of BI/Reporting, background in MSBI and Business Objects/Universes
Conversant in issues relative to data quality
Insurance or financial industry background helpful
5+ years of experience in Data Warehouse, data migration or integration
3+ years of lead experience in data warehousing, reporting and/or migration
2+ years of offshore development management experience
Data Architecture/Kimball/Dimensional modeling techniques
ETL Source to Target Mappings
Strong hands-on knowledge of Oracle /PL-SQL, ETL toolsets
Informatica (development, best practices, tuning)
Java, especially helpful if candidate has knowledge of Gosu/GX modeling
Must have excellent written and verbal communication skills –
Able to communicate complex requirements into terms for non-technical audiences

Enterprise Data Office Data Services Manager Resume Examples & Samples

Direct the development, data analysis, and technical project management functions in support of strategic enterprise data capabilities
Responsible for maintaining the integrity of data during extraction from source systems and transfer to the Enterprise Data Warehouse Environment (EDWE), including updating the extraction processes to reflect source systems changes. Responsible for the integrity of data extraction, transformation and loading processes within enterprise data environments to include the tools and processes for data movement between staging area and data marts
Assist in development and implementation the data warehousing strategy in partnership with Data Strategy and Architecture team in support of master data management, metadata, information lifecycle management and business intelligence
Lead a team of project managers and business analysts responsible for gathering business requirements for successful data warehousing and business intelligence projects
Review and evaluate data and information processes on a regular basis, recommending, developing and implementing continuous process improvements to include providing input to data and information strategic planning activities in EDO, IT and lines of business
Lead enhancement and/or consolidation of enterprise data and warehouse environments to meet business goals and enable information insight
Ensure data provisioning, reporting and analytics technology implementations are best-in-class as appropriate for the Bank to build and maintain competitive advantage
Lead the design, development and deployment of technical policies, standards and controls for data movement and administration. Create streamlined procedures to ensure efficient and effective data operations
Collaborate closely with peer teams to ensure coordination, synergies and seamless overall EDO execution
Plan and develop departmental budgets in accordance with established guidelines and execute to meet budgetary goals, negotiating changes, as required. Plan and manage the resource planning process
Bachelor’s degree in Business, Management, or Information Technology-related field, or equivalent education and related training
Twelve years of related experience with ten years of progressively responsible managerial and leadership experience in technology
Experience designing data warehouses and data marts
Working knowledge in data management principals and data quality measurement techniques leveraging computer systems (e.g. Structured Query Language (SQL), Statistical Analysis System (SAS), Informatica)
Broad understanding of technology, data, information and architectural concepts
Ability to translate high-level business needs into data and information technology architecture, plans and business solutions
Exceptional collaboration ability and a track record of working closely with infrastructure architecture, application architecture, and data and information security teams to ensure optimal, cohesive results
Substantial experience as a senior-level negotiator
Ability to interact effectively with Executive Management
Demonstrated proficiency in basic computer applications, such as Microsoft Office software products
General understanding of IT disciplines such as networking, client server architecture, hardware and software development
Working knowledge of MicroStrategy or similar BI tools, along with BI principles
Ability to rationalize and simplify data flows, data models, reports and dashboards for better information insight and management
Experience with automated systems that require full history and traceability, and in articulating the quality impact of these features
Ability to participate in developing enterprise data strategies and roadmaps
Ability to manage complex data infrastructures, develop and manage support and trouble-shooting processes and activities, and provide expert-level integration guidance to subordinates
Ability to articulate EDO strategy through team’s objectives and actively participate in developing policies to address complex data infrastructure issues
Ability to apply a command of emerging data infrastructure technology, business practices and change management to achieve ‘best in class’ corporate service delivery
Demonstrated leadership skills and provide technical assistance and guidance to reporting personnel regarding data infrastructure evaluation, enhancement, modification and development
Ability to assume accountability and responsibility for data integration planning, installing, testing, implementing, documenting and maintaining
Ability to coordinate the development of operating measures, performance tracking error resolution and effectiveness measures related to EDO’s engineering, deployment and operation of data-related hardware and software infrastructure

Director, Enterprise Data Office Resume Examples & Samples

Partner with technology infrastructure, data governance, and business verticals to ensure data contents, data lineage, data quality, data access, and adherence to data governance is present, maintained and adequately documented
Liaison with industry working groups and industry experts to maintain a high level of awareness of, and be an advocate for, current and emerging data, technology and industry strategies and trends
Inventory and classify data elements throughout the firm, and then maintain the classification going forward
Ensure CCAR readiness for data submissions and quality of the submissions
Partner with data governance to inform the governance structure and to further socialize the governance framework throughout the institution
Develop and implement an enterprise data management strategy
Foster a companywide culture recognizing data as an enterprise asset
Aggregate metadata throughout the company into a central location
Act as subject matter expert to define how business verticals and enterprise data office processes interface with one another to create maximum business value and achieve business objectives
Establish and maintain strong working relationships with key business partners with special emphasis on business process owners, data owners, data custodians, data stewards, finance, and members of the Data Steering Committee
Strong business acumen and fiscal aptitude
Strong planning, organizational and follow up skills Ability to multi-task and maintain composure strong sense of urgency with the ability to execute quickly, timely and efficiently
Demonstrated collaborative partnership skills with internal and external teams
Excellent customer service orientation, business communication, collaboration, interpersonal skills and team orientation
Strong conceptual, analytical and business judgment with great detail orientation

Enterprise Data Office Data Analyst Resume Examples & Samples

Develop solutions and recommendations for improving data integrity issues. Analyze data issues and work with development teams for problem resolutions
Identify problematic areas and conduct research to determine the best course of action to correct the data, identify, analyze and interpret trends and patterns in complex datasets. Determine and analyze line of business requirements, use system data, and provide input needed by various departments and senior management to produce business reports
Work with business analysts and project teams to provide accurate documentation of data related project and support deliverables
Bachelor’s degree in information technology, information systems, computer science or business-related field, or equivalent education and related training
Six years of experience in a role of data analysis, statistical analysis, data transformation, data reconciliation and/or sophisticated data presentation
Familiarity in using a query analysis tool Sound issue and problem management, including root cause analysis and troubleshooting skills
Ability to perform analysis with little direction, proactively identify potential issues in the data and conduct research to determine the best course of action to correct the data
Sound analytical, organizational and problem solving skills as well as sound interpersonal skills with the ability to work with management, peers and Enterprise Data Office (EDO) staff
Sound presentation and communication skills, both written and verbal

Chief Data Architect, Enterprise Data Office Resume Examples & Samples

Minimum 10 years of experience in data warehousing, operational data stores, and large scale architecture and implementations
Expertise in Big Data technologies in Hadoop ecosystem – Hive, HDFS, MapReduce, Yarn, Kafka, Pig, Oozie, HBase, Sqoop, Spark, etc
Experience in solution crafting and developing proposals to illustrate business value provided by technical solutions
Strong understanding of data analytics and data visualization
Ability to work across technology, enterprise data office, and analytics community to understand requirements, workflows and system trade-offs
Ability to provide strategic and architectural direction to address unique business problems
System design and modeling skills (e.g. domain driven design, data modeling, API design)
Ability to lead and develop team of data architects
Maintain in-depth knowledge of IT industry best practices, technologies, architectures and emerging technologies
Excellent one-on-one communication and presentation skills, specifically able to convey technical information in a clear and unambiguous manner. Ability to influence and communicate across key stakeholders
Strong influencing and collaboration skills required to drive change management of new data capabilities and architectural direction

Enterprise Data Office Data Analyst Resume Examples & Samples

Research and source data from various sources (applications, databases, etc.) to meet Client Experience sample and analysis requirements
Coordinate inbound and outbound data from and to marketing Vendors
Develop solutions and recommendations for improving data integrity issues
Analyze data issues and work with development teams for problem resolutions
Identify problematic areas and conduct research to determine the best course of action to correct the data, identify, analyze and interpret trends and patterns in complex datasets
Understand data governance principles and how they apply. Create data quality metrics and scorecards. Work on ad-hoc data requests
Perform regular audits of data. Instruct, direct and mentor other members of the team
Familiarity in using data analysis tools Strong issue and problem management, including root cause analysis and troubleshooting skills
Ability to perform analysis with little/no direction, proactively identify potential issues in the data and conduct research to determine the best course of action to correct the data Strong technical documentation skills
Ability to lead and direct team members in completion of complex projects Demonstrated proficiency in basic computer applications, such as Microsoft Office software products
Experience with Informatica Background in banking and general banking systems

Enterprise Data Office Data Services Manager Resume Examples & Samples

Lead a matrix team of project managers and solutions engineers responsible for decomposing business requirements to functional data services requirement and specifications for successful data warehousing, data services delivery, and business intelligence and analytics projects
Assist the evolution of engineering and development practices, data analysis and requirements development, and integration into technical project management functions in support of strategic enterprise data capabilities
Assist in development and implementation the data management strategy in partnership with cross-departmental teams in support of data quality and governance, data architecture, master data management, metadata and data insight, information lifecycle management and business intelligence and analytics
Review and evaluate data and information technologies, processes, and practices on a regular basis, recommending, developing and implementing continuous process improvements to include providing input to data and information strategic planning activities in EDO, IT and lines of business
Support the engineering, enhancement, and/or consolidation of enterprise data and warehouse environments to meet multiple independent and interdependent business goals, and greater enable information insight
Lead the design, development, deployment, and adoption of technical best practices for the Data Management DLC, and support the enhancement of policies, standards and controls for data movement and administration across the EDO. Create streamlined procedures to ensure efficient and effective data operations
Support the analysis, planning and development of departmental budgets in accordance with established guidelines and execute to meet budgetary goals, negotiating changes, as required
Position may have functional responsibilities for assigned personnel regarding employment, career development, performance evaluations, promotions, transfers and terminations within established policies and guidelines to include completion and delivery of personal development plans (PDPs) and implementation of salary, officer and other personnel-related changes
Bachelor’s degree in Business, Management, or Information Technology-related field, or equivalent education and related training; Master’s degree preferred
Experience in solutions architecture, and designing and managing data warehouses and data marts large enterprise environments
Working knowledge in data management principles (e.g. EDM, MDM) and data quality, service delivery, and performance measurement techniques leveraging analytics and computational sytems, languages, and platforms (e.g. Structured Query Language (SQL), Statistical Analysis System (SAS), Informatica, COGNOS, MS Dynamics)
Broad understanding and tangible application of systems engineering practices in large/complex enterprise environments
Broad understanding and application of data practices, information technology systems, and systems/enterprise and business architectural concepts
Ability to translate high-level business needs into data and information technology architecture, requirements, specifications, and related structured business solutions artifacts
Ability to interact effectively with Senior Leadership and Executive Management
Demonstrated proficiency in business support applications, such as Microsoft Office suite products
Tangible experience in end-to-end systems engineering, with concrete cases of applying and integrating engineering practices to operational lifecycles and processes
Experience with leading and facilitating structured engineering reviews (e.g. DDR, CDR, TRR, ORR), and ability to assume accountability and responsibility for data planning, executing, documenting, and maintaining critical artifacts and findings
Ability to coordinate the development of lifecycle artifacts, measures, resolution and effectiveness studies, and alternative analyses related to EDO’s data-related engineering, development, deployment and operations
Demonstrated leadership skills and ability to coach and mentor personnel in advanced practices and methods
Working knowledge of enterprise data platforms (e.g. Informatica, MicroStrategy) and related toolsets, along with recognized standards, practices, and principles
Working knowledge of big-data technologies (e.g. Hadoop, Mongo, Spark) and enterprise approaches (e.g. consolidated, federated, hybrid)
Ability to rationalize and simplify data flows, data models, low and high level architecture and design artifacts for better insight and context
Experience with requirements management systems and approaches that support history, lineage, and traceability, and with articulating dependencies and growing the quality of these practices
Ability to participate in developing enterprise data strategies and technology roadmaps
Ability to articulate EDO strategy through team’s objectives and actively participate in developing policies to address data service complexities
Ability to manage complex assignments, develop and manage processes and activities, and provide expert-level guidance to subordinates

Enterprise Data Office Data Analyst Resume Examples & Samples

Possess the highest level understanding of the Bank's business systems and industry requirements
Assist in the business process redesign and documentation as needed for new technology
Create and maintain of data analyst competency and best practices
Create of data quality metrics and scorecards
Bachelor’s degree in Information Technology, Information Systems, Computer Science or business-related field, or equivalent education and related training Ten years in a role of data analysis, statistical analysis, data transformation, data reconciliation and/or sophisticated data presentation
Ability to perform analysis with little to no direction, proactively identifying potential issues in the data and conducting research to determine the best course of action to correct the data Understanding of Enterprise Data Warehouse concepts and prior experience applying that understanding to query data in a Very Large Database (VLDB) environment
Familiarity in using data analysis tools Strong technical documentation skills
Ability to identify problematic areas and conduct research to determine the best course of action to correct the data Strong technical leadership skill