AI & Data Consultant - Data Governance – Authorized Provisioning Point

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Regular or Temporary: Regular

Language Fluency: English (Required)

Work Shift: 1st shift (United States of America)

The Data Governance Consultant is responsible for supporting Data Governance across the enterprise, enabling business growth while ensuring compliance with risk and regulatory expectations. The position partners with various business and technology stakeholders to influence and drive adoption of related Enterprise Data Management strategies, policies, standards and control frameworks. The role evaluates established and emerging data practices and technologies to drive the team's direction, while implementing innovative processes and solutions to provide competitive advantage while meeting rigorous control and oversight mandates.

Support the enterprise Authorized Provisioning Point / Authorized Data Source program within the AI & Data Organization. Support the definition of a data domain based model, partner with stakeholders across architecture, technology delivery, and the LOB to define strategies and implementation roadmaps to bring the program into reality. Support program execution and asset certification. Draft and maintain corresponding policies, frameworks, standards, and procedures.

Support data-products strategy and intersection with enterprise ontologies. Support the definition and implementation of an operating model to cover data asset ownership and data stewardship. Support the implementation of core data management and governance capabilities against identified data assets. Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below.

Specific activities may change from time to time.

• Develop and maintain policies, standards and technology in support of enterprise Data Governance. Create and implement processes and procedures to support data standards and control frameworks.
• Provide subject matter expertise in the planning and execution of data management activities such as data sourcing, metadata management, data quality, data privacy or records management.
• Drive solution design and execution of multi-pronged data governance efforts that span across platforms and business/technology areas to address enterprise data needs.
• Implement strategic data governance capabilities by working with business and technology partners to document requirements and create action plans.
• Perform oversight and inspection of critical data management practices for adherence to established data policies and control frameworks.
• Identify data issues and work with technology, risk and business partners to triage, track, communicate, mitigate and remediate the issues to closure.
• Support the production of metrics and measures to track progress and adherence, escalating as needed to various committees for visibility and program accountability.
• Understand and integrate relevant regulations and industry trends into work plans, exploring emerging frameworks and assessing feasibility using proof of concepts.
• Collaborate closely with peer teams to ensure coordination, synergy and seamless overall execution.
• Champion and drive improvement in enterprise data management practices throughout the organization.

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, or related field.
• Minimum of 5 years of professional experience in AI and data.
• Knowledge of AI models, data architectures, and analytics methodologies.

• Experience with enterprise data governance platforms such as Collibra, Informatica Axon, Alation, Solidatus, or equivalent tools.
• Demonstrated ability to define and implement data governance operating models, including stewardship, ownership, and accountability structures.
• Working knowledge of cloud data ecosystems (e.g., AWS, Azure, Google Cloud), including data governance, data cataloging, and data security capabilities.
• Experience developing metadata strategies, lineage visualization, and automated metadata harvesting.
• Familiarity with regulatory frameworks impacting data (e.g., GDPR, CCPA, BCBS 239, HIPAA, SOX) and experience operationalizing compliance…