Director, Data Governance
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Job Description
Director of Data Governance establishing RTI’s enterprise data governance and AI framework. Leading efforts to ensure data and AI assets are trusted, compliant, reusable, and aligned with RTI’s mission.
Responsibilities:
- Design, implement, and evolve RTI’s enterprise data governance framework, including data ownership, stewardship, metadata standards, data quality, lineage, classification, access, and lifecycle management.
- Establish and operationalize Responsible AI principles, policies, and guardrails aligned with ethical, legal, and regulatory expectations (e.g., HIPAA, GDPR, FIPS, sponsor and contractual requirements).
- Ensure governance is embedded across data, analytics, and AI workflows in partnership with Legal, Privacy, Security, IT, Labs, and Research leadership.
- Develop and own RTI’s enterprise data governance strategy, ensuring alignment with ODAS priorities, RTI’s mission, and institute-wide strategic pillars.
- Serve as a trusted advisor to the VP of Data & AI Strategy, ODAS leadership, and senior stakeholders on data risk, AI ethics, and enterprise readiness.
- Define and steward the federated governance operating model, including decision rights, RASCI, governance bodies, and escalation paths.
- Translate governance requirements into practical, usable standards, playbooks, templates, and guidance that enable data science, analytics, and AI delivery.
- Lead and mature the stewardship operating model, including effective assignment, onboarding, enablement, and coordination of Data Owners, Domain Stewards, and Enterprise Data Stewards.
- Drive institute-wide adoption through structured change management, communication, training, and stakeholder engagement.
- Champion a culture of data literacy, transparency, accountability, and responsible data and AI use.
- Define, track, and communicate governance KPIs, maturity metrics, and dashboards (e.g., data quality, adoption, compliance, reuse).
Requirements:
- Bachelor’s degree required; advanced degree preferred.
- 10+ years of experience in data governance, data management, analytics, AI, or regulated environments.
- Demonstrated experience designing and implementing enterprise or federated data governance programs.
- Strong understanding of metadata management, data quality, data lifecycle management, cataloging, access management, regulatory compliance, and responsible AI.
- Proven ability to influence senior leaders and operate effectively in matrixed, decentralized organizations.
- Excellent executive communication, facilitation, and change leadership skills.
- Bias toward action with the ability to balance long-term strategy and near-term delivery.
- Preferred Qualifications: Experience with governance platforms such as Collibra, Atlan, Alation, or similar tools.
- Experience in scientific, academic, public sector, or highly regulated research environments.
- Experience with secondary-use governance, research data ecosystems, or data marketplaces.
- Experience leading and developing multidisciplinary teams.
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