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.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
-Influences information strategy by providing strategic recommendations to maximize the value of information assets via their creation, access and use.
-Maximizes value derived from data and analytics by fostering value creation using the organization's data assets, as well as the external data ecosystem. Aids 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.
-Assesses 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.
-Enhances decision making through the use of tools such as business information models to provide the organization with a future-state view of the information landscape that is unencumbered by the specific data implementation details imposed by proprietary solutions or technologies. Assists decision design.
-Enables effective data and analytics governance. Suggests who can take what actions with what information, and under what circumstances. Assists data and analytics leaders, and business and IT leadership in developing information governance processes and structures.
-Conducts business information modeling. Creates and manages business information models in all their forms, including conceptual models, relational database designs, message models and others.
-Aids in the analysis of data and analytics security requirements and solutions, and work with the Security Director [and BI Sr. Manager] to ensure that enterprise data and analytics assets are treated as a protect asset.
-Improves EIM performance through enterprise information solutions and capabilities, such as master data management (MDM), metadata management, analytics, content management, data integration, and related information management or information infrastructure components.
-Collaborates 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.
-Leads and manages a data team while leveraging subject matter experts as required.
-Performs other duties as assigned.
REQUIRED KNOWLEDGE, SKILLS AND ABILITIES
The requirements listed below are representative of the knowledge, skill, and/or ability necessary to perform this job.
EDUCATION and/or EXPERIENCE
-Bachelor’s degree (B.A. / B.S.) in Information Technology, Project Management or related field or the equivalent combination of education and experience.
-At least 5 years related IT experience, with at least three years in information system design.
-In-depth experience of designing and implementing information solutions.
-Business domain, data/content and process understanding (which are more important than technical skills).
-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).
-Ability to analyze project, program and portfolio needs, as well as determine the resources needed to achieve objectives and overcome cross-functional barriers.
-Ability to calibrate Machine Learning (ML) models and experience with Artificial Intelligence (AI) preferred.
-Knowledge of predictive and analytic dashboards and reporting strongly preferred.
-Experience with designing and implementing self-service models preferred.
PREFERRED EDUCATION and/or EXPERIENCE
-Hands-on experience with implementing data and analytics management programs is preferred.
-Two years experience as a data analyst is highly desirable.
Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. 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.
REASONING/PROBLEM SOLVING ABILITY
Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
Makes decisions daily on use of resources, performance and budgets. Decisions could require additional expenditure of resources if not sound decisions.Posted On
April 30, 2019