Sr Director - Data Governance & Enablement (Memphis, TN or Remote in USA)

American Lebanese Syrian Associated Charities

Memphis (TN)

Remote

USD 170,000 - 230,000

Full time

3 days ago
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Job summary

American Lebanese Syrian Associated Charities (ALSAC) seeks a Sr. Director, Data Governance & Enablement to lead the enterprise program ensuring trusted, privacy-centered use of data at scale.

You will establish ownership, quality, access, lifecycle, retention, and compliance across the organization. Partner with Legal, Information Security, Technology, Procurement, Risk, and business leaders to translate legal and regulatory expectations into practical data practices and controls, enabling

Responsibilities

  • Lead enterprise data governance program with ownership, quality, access, lifecycle, retention, and compliance responsibilities.
  • Partner with Legal, Information Security, Technology, Procurement, Risk, and business leaders to translate privacy obligations into practical data controls.
  • Provide operational privacy leadership, governance across analytics, AI data use, and data sharing initiatives.

Job description

At ALSAC you do more than make a living; you make a difference.

We like people who are different...because we're different, too. As one of the world's most iconic and respected nonprofits, we know what it's like to stand out. That's why we're looking at you. Your background, perspective, and desire to make an impact set you apart. As we work to help St. Jude cure childhood cancer, we're calling on the game-changers, innovators and visionaries to join our family. Not just for the kids of St. Jude, but also for you. Because at ALSAC, we develop and celebrate our employees. So, bring your whole, authentic self and become part of our shared mission: Finding cures. Saving children.®

The Sr. Director, Data Governance & Enablement leads the enterprise program that makes trusted, responsible, and privacy-centered use of data possible at scale. This leader establishes ownership, quality expectations, access, accountability, lifecycle management, retention, acceptable use, compliance, sharing, and integration across the organization's data.

The role creates the operating model, decision rights, policies, standards, and controls that allow the organization to create value from data while protecting constituent, donor, employee, and organizational information. It integrates enterprise data governance, data enablement, and operational privacy into a cohesive program that supports innovation, strengthens trust, and manages enterprise risk. Its scope extends to data used in reporting, analytics, machine learning, and generative AI, while governance of analytical methods, AI models, AI applications, and the broader AI lifecycle remains with the appropriate enterprise partners.

The Sr. Director directs the operational privacy program within Enterprise Data & Intelligence and translates legal, regulatory, ethical, and organizational expectations into practical data practices, system requirements, review processes, and measurable controls. Working closely with Legal, Information Security, Technology, Procurement, Risk, and business leaders, this role helps ensure that privacy is considered from strategy and design through collection, use, sharing, retention, and disposition.

The leader also guides a federated community of data owners, product owners, stewards, analysts, and technology partners. Through this community, the role creates clear accountability for data quality, metadata, lineage, access, lifecycle, appropriate use, and issue remediation. Governance is designed to operate within business, technology, analytics, and product delivery rather than as a separate or late-stage approval exercise.

Essential Job Functions:
Enterprise Data Governance Strategy and Operating Model
  • Develop, execute, and own the enterprise data governance and enablement strategy, roadmap, and maturity plan.
  • Establish policies, standards, decision rights, governance forums, and escalation paths, with clear accountability for data owners, product owners, stewards, and custodians.
  • Define measures for adoption, data quality, privacy risk, policy adherence, issue remediation, and value realization.
Privacy Leadership, Operations and Health Reporting
  • Lead the operational privacy program within Enterprise Data & Intelligence in partnership with Legal, Information Security, Technology, Procurement, Risk, and business teams, translating privacy obligations into practical policies, system requirements, review processes, and data controls.
  • Embed privacy by design across systems, campaigns, products, analytics, AI data use, data exchanges, and third-party services, and oversee data minimization, purpose alignment, consent and preferences, retention, data-subject request enablement, incident support, and vendor risk.
  • Provide recurring operational health reporting on privacy risks, requests, incidents, control performance, policy adherence, third-party concerns, and remediation progress to guide action and strengthen accountability.
Trusted Data, Quality and Metadata Management
  • Establish enterprise practices for data ownership, quality, access, accountability, classification, metadata, lineage, integration, sharing, acceptable use, compliance, master and reference data, retention, and disposition.
  • Lead adoption of the enterprise data catalog and glossary, including definitions, critical data elements, ownership, quality expectations, lineage, and certification status.
  • Create risk-based certification and issue-management practices that communicate fitness for purpose, access conditions, privacy requirements, and known limitations.
Data Lifecycle, Access, Retention and Sharing
  • Define and operationalize requirements for data collection, access, use, movement, sharing, retention, archival, and disposition across platforms and business processes.
  • Partner with business and technology owners to apply proportionate controls to data exchanges, campaigns, data products, marts, and third-party services.
  • Ensure exceptions, risk acceptance, and remediation d
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