This person strengthens the impact of, and provides recommendations on, business information that will need to be available and shared consistently across the organization through the identification, definition and analysis of how information assets aid strategies and business outcomes. The IA is responsible for discovering the data and analytics requirements for information for all uses.
Information architecture — also sometimes referred to as enterprise information architecture (EIA) — refers to the enterprise architecture (EA) activities that define a company's business information assets (as well as the assets' sources, structure, classification and associations) as part of its information strategy to respond to disruptive forces and move toward desired business outcomes.
- Influence information strategy: By partnering with business unit leadership, and through the rationalization of the information value chain, the information architect will provide strategic recommendations to maximize the value of information assets via their creation, access and use.
- Maximize value derived from data and analytics: Foster value creation using the organization's data assets, as well as the external data ecosystem. This includes aiding value creation through data exploitation, envisioning data-enabled strategies, as well as enabling all forms of business outcomes through analytics, data and analytics governance, and enterprise information policy.
- Surface information priority: Assess the benefits and the risks of information by using tools such as business capability models to create an information-centric view to quickly visualize what information matters most to the organization based on the defined business strategy.
- Enhance decision making: Use tools such as business information models to provide the organization with a futurestate view of the information landscape that is unencumbered by the specific data implementation details imposed by proprietary solutions or technologies. Assist decision design. - Enable effective data and analytics governance: Suggest who can take what actions with what information, and under what circumstances. Assist data and analytics leaders, and business and IT leadership in developing information governance processes and structures.
- Conduct business information modeling: Create and manage business information models in all their forms, including conceptual models, relational database designs, message models and others.
- Manage risk: Aid the definition of data classifications and data zoning to allow information assets to be immediately identified and proactively managed as more information becomes federated in a digital economy.
- Enable enterprise information management: Ensure that the architecture is used as a lens and a filter to identify, prioritize and execute the data and analytic initiatives with clear line of sight to enterprise strategies and business outcomes.
- Secure data and analytic assets: Aid in the analysis of data and analytics security requirements and solutions, and work with leadership to ensure that enterprise data and analytics assets are treated as a protected assets.
Primary Work Arrangements:
- Collaborate with data and analytics leaders, data science and analytics specialists, information management staff, solution developers and business domain stakeholders, such as information managers, data stewards and business analysts.
- Partner with a team of architects and developers while leveraging subject matter experts as required.
This role requires a bachelor's degree in computer science, information systems or a related study (or equivalent project related experience).
- A minimum of seven years of experience in IT, with at least two years in information system design.
- In-depth experience of designing and implementing information solutions.
- Hands-on experience with implementing data and analytics management programs is preferred.
- Three to five years' experience as a data analyst is highly desirable.
Required Knowledge and Skills:
- Effective conceptualization, pattern recognition and teaming skills.
- Business acumen, and the ability to communicate to executives, business domain stakeholders and technical staff alike.
- Demonstrated influence, communication, presentation and facilitation skills.
- Experience with innovation and ideation methods, such as design thinking.
- System integration experience, including interface design, and familiarity with web-oriented architecture techniques.
- Data modeling and information classification expertise at the enterprise level.
- Understanding of common information architecture frameworks and information models.
- Understanding of metamodels, taxonomies and ontologies, as well as of the challenges of applying structured techniques (data modeling) to less-structured sources.
- Familiarity with data science concepts, as well as MDM, business intelligence, and data warehouse design and implementation techniques.
- Experience with distributed management and analytics in cloud and hybrid environments. Also an understanding of a variety of data access and analytics approaches (for example, microservices and event-based architectures).
- Knowledge of problem analysis, structured analysis and design, and programming techniques.
- Ability to assess rapidly changing technologies and apply them to business needs.
- Ability to analyze project, program and portfolio needs, as well as determine the resources needed to achieve objectives and overcome cross-functional barriers.
Key Behaviors and Competencies:
- Demonstrate the ability to work well with others and exhibit leadership.
- Have a track record of remaining unbiased toward specific technologies or vendors.
- Be an excellent communicator and collaborator, engaging with multiple technical and business stakeholders and leaders.
- Be able to translate the information architecture contribution to business outcomes into simple briefings for use by various data-and-analytics-related roles.
- Ability to understand the long-term ("big picture") and short-term perspectives of situations.
- Ability to quickly comprehend the functions and capabilities of new technologies.
- Display intellectual curiosity and integrity.