Associate Director, Data Governance, FAIR, AI-Readiness

This is a fully remote position, open to applicants in United States.

📋 Description

• Spearhead the enterprise Data Governance, FAIR, and data product strategy and roadmap.

• Create a value-realization framework to assess business outcomes, adoption, and return on investment.

• Implement the Enterprise Data Strategy, which encompasses data ownership, reusable data products, lifecycle management, data contracts, and measures of adoption.

• Develop a federated governance operating model that includes decision rights, ownership, stewardship, councils, standards, and escalation pathways.

• Enhance FAIR maturity through lifecycle practices, metadata standards, persistent identifiers, controlled vocabularies, and access patterns.

• Improve capabilities in active metadata, data cataloging, lineage, business glossaries, semantics, and knowledge graphs.

• Establish governance policies and controls for quality, observability, privacy, security, retention, and responsible usage.

• Collaborate with architecture, engineering, digital, security, privacy, legal, and business teams to operationalize governed data products.

• Define and uphold data readiness criteria that support responsible AI initiatives.

• Act as the data engagement lead for a designated business function and promote the adoption of data management practices.

• Oversee large-scale data programs, cross-functional projects, and external partnerships.

• Communicate results, risks, dependencies, and value realization to senior leadership.

⛳️ Requirements

• An associate degree with 10 years of experience in Data Management, Information Systems, or a related field, or a higher degree with fewer years of experience.

• Experience within the biotechnology or pharmaceutical sector.

• Knowledge of regulated data, business processes, and compliance standards.

• Proven leadership in enterprise data governance, data management, active metadata, data quality, or data product initiatives.

• Practical understanding of FAIR data principles and their application via metadata, standards, semantics, interoperability, and access controls.

• Experience in establishing data governance operating models that include ownership, stewardship, policy, standards, controls, and issue management.

• Excellent stakeholder management, communication, and influencing abilities.

• Preferred experience in implementing enterprise data strategy, scaling FAIR, data products operating models, and data contracts.

• Familiarity with active metadata, data observability, lineage, ontologies, knowledge graphs, and policy-as-code is preferred.

• Preferred experience with Collibra, Databricks Unity Catalog, Reltio, SciBite, or TopQuadrant.

• Experience enabling responsible AI and ensuring data readiness for machine learning, generative AI, RAG, and AI agent use cases is preferred.

• Capability to define measurable outcomes for data investments is preferred.

• Preferred experience managing external partners and geographically distributed delivery teams.

🏝️ Benefits

• Health and welfare plans for staff and eligible dependents.

• Retirement and Savings Plan with generous company contributions.

• Group medical, dental, and vision coverage.

• Life and disability insurance.

• Flexible spending accounts.

• Discretionary annual bonus program.

• Stock-based long-term incentives.

• Award-winning time-off plans.

• Flexible work models where possible.

• Opportunities for career development.

• Support for work/life balance.