Responsible for the overall design of the enterprise information architecture, across multiple data types (structured, semi-structured and unstructured), balancing the need for access against security and performance requirements. This individual focuses primarily on enterprise information requirements: design, access, usage and stewardship. The position also requires an understanding of emerging regulatory issues surrounding information assets (such as consumer privacy laws, data retention policies, outsourced data and specific industry guidelines — especially in healthcare, insurance and banking). Also included is the development or use of process models, creation or use of information or target data models, interface designs, and development of internal and external checks and controls to ensure proper governance, security and quality of information assets.
Translate strategic requirements into a usable enterprise information architecture, which may include an enterprise data model, associated metamodel, common business vocabulary, ontologies and taxonomies, which will then be used to guide enterprise solution development and achieve consistency of information assets across the application portfolio.
Develop a metadata management and repository strategy to manage all enterprise information architecture project artifacts.
When necessary, oversee mapping of enterprise information architecture models to package application models, to determine impact or assess suitability of vendor solutions to enterprise information architecture requirements.
Facilitate the mapping and auditability of information assets as they flow from upstream legacy, package, or custom development and interfaces to downstream analytical applications, thus ensuring optimal transparency, quality, consistency and controlled redundancy across the enterprise.
Facilitate the definition of integrative and canonical views of data or information across multiple content types (structured, semistructured, XML or unstructured) to support convergence of information asset migration planning or impact analysis.
Participate in the definition of technical standards and guidelines that pertain to data and information use, security, access and governance (including defining accountabilities in support of data quality mandates).
Ensure existing data/information assets are identified, stewarded and leveraged across the enterprise.
Ensure the enterprise information architecture maps to the enterprise architecture.
Ensure a focus on information/data quality by developing and publishing enterprise data standards such as a common business vocabulary, naming conventions, data standards, transformation rules and related enterprise consistency specifications.
Construct, refine and maintain information models, as needed, to meet business requirements.
Ensure timely and appropriate information models exist to aid projects.
Develop a model management strategy in support of enterprise reuse and data-sharing objectives.
Validate audit objectives and assist with creation of audit plans to ensure continued data integrity and transparency.
Establish guidelines for reporting procedures on the reuse of enterprise information architecture artifacts.
Analyze information to evaluate the effectiveness of controls, determine the accuracy of reports, and monitor the efficiency and security of operations.
Review audit reports to ensure findings and recommendations are acted on.
Coordinate new development activities and ensure they are consistent and well integrated with the established enterprise information architecture, using metadata management and/or a repository to promote reuse and standards adoption.
Facilitate consistent business analysis, information acquisition analysis and design, data access analysis and design, archiving and recovery strategies, security, and change management at the enterprise level.
Assist in post-implementation continuous-improvement efforts to enhance performance and provide increased functionality.
Participate in key project design reviews as part of the methodology process to ensure application designs adhere to enterprise information architecture guidelines.
Review corporate data sources for new business information and better sources of data feeds.
Interface with the business community and provide ongoing status reports.
Monitor regulatory guidelines (such as consumer privacy issues) to determine impact on enterprise information architecture.
Monitor compliance and related guidance (such as data retention and audit requirements) to determine impact on enterprise information architecture.
Monitor emerging industry standards (such as XML, RDF, OWL and XBRL) to determine impact on enterprise information architecture.
Bachelor's degree in computer science, information systems or a related study (such as library science), or equivalent related project experience.
Seven to 10 years of experience in IT, with a minimum of two years in information systems design.
In-depth experience designing and implementing information solutions.
Knowledgeable in the design and construction of information architectures that enable well-integrated transactional, collaborative and analytical systems.
Data/information modeling expertise at the enterprise level.
Understanding of common information architecture frameworks (such as Zachman and FEAF).
Understanding of differences between relational modeling and object modeling.
Understanding of taxonomies and ontologies, as well as the challenges of applying structured techniques (data modeling) to less structured sources.
Understanding of metamodels.
Knowledge of problem analysis, structured analysis, and design and programming techniques.
Knowledge of or experience with one or more multiuser, multitasking operating systems.
Ability to effectively adapt to rapidly changing technology and apply it to business needs.
Ability to establish and maintain a high level of customer trust and confidence.
Strong analytical and conceptual skills; ability to create original concepts/theories for a variety of stakeholders.
Ability to analyze project, program and portfolio needs, as well as determine resources needed to meet objectives and solve problems that involve remote and elusive symptoms, often spanning multiple environments in a business area.
Knowledge of project planning and management, including scope, time and resource management.
Experience creating information policy to support effective design of information systems and use of information across the enterprise.
Experience with various information modeling techniques (such as data flow diagrams, entity-relationship diagrams or create/read/update/delete matrices).
Familiarity with business intelligence and data warehousing development techniques.
High-level understanding of relational database management systems and other data structures.