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The primary purpose of this position is to provide the Enterprise with the ability to get closer to accessing and understanding their data and how it interrelates across functions, geographies, affiliates and capabilities.
The Information Architect does not exist in any other area of the Enterprise and is critical as we further exploit our ability to be a data driven, creativity inspired organization.
This role interacts with the Enterprise Data team, the supporting IT partners, all customers in functions, geographies, affiliates and capabilities. The scope of this role will Product, Customer, Finance, Vendor and related hierarchies. This role will be a major participant in joining up our data to become meaningful and easy for our users to view, understand, access and leverage.
The leader of this space must possess deep knowledge of data structures, data relationships, hierarchies, information-based decision analysis, analytics, technical delivery and the interrelationship of these concepts with data governance is a must – both operationally and analytically.
Strength in efficiently understanding user requirements, needs, objectives and working methods in order to design optimal data structures that will deliver benefits in how the user consumes the data. This individual will connect application needs, process workflow and user experience to data architecture, structures and models in an optimized way.
70% Independence of Action and Accountability/Problem Solving
Synthesizes data and creates meaningful information that is easy to understand, access and process into further analysis – leveraging user interaction, technology principles, data modeling and systems knowledge at each step. Enables Analytical solutions – providing insight to colleagues that require coaching and learning to deliver the best possible solution leveraging information architecture
•Critically tie together the layers of capability across technology, data, applications, information and business
•Organize patterns inherent in data to make the complex, clear – taking the blindness out of too much data for the users
•Create structure, models and maps of information that enable others to find knowledge and insight
•Support and champion hierarchy capability evolution
30% Decision Making
Partners & collaborates with teammates, customers and stakeholders to understand the business requirement & problems that require solutioning through our data.
•Knowledgeable on all compliance restrictions when building out a solution
This role will focus on supporting the operational and analytical needs of our Master Data at ELC.
Expertise in implementing: Logical Data Modeling, Data Lineage, Metadata, Technical solution leadership, Data Transformation and process optimization to accelerate good quality data.
This role will drive ‘Data as a Service’ as a key theme in how these capabilities are delivered. Driving towards self-service for our user community as maturity develops in Analytics across the enterprise.
This role must take into consideration the performance of technical solutions in designing the business layer to access the information/data.
The candidate will possess
•10+ years of strong analytical skills backed up by deep knowledge of functional & technical processes and how data impacts and/results from those processes
•The individual in this role must be highly flexible and adaptable to the evolution of this capability at Company -focus and attention may have to shift across special projects as the business needs change.
The candidate will also be capable of leading data modelers in the Technology group to ensure implementation of the appropriate data structures for success in meeting business needs and technical delivery towards those needs.
Soft skills and competencies:
•Adaptability, flexibility and willingness to be hands-on and assist where team needs exist.
•Self-reliant and ability to multi-task/prioritize.
•Results-oriented and attention to details.
•Nurturing leader of change and transformation in a relationship intensive environment.
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