Senior Director – Data Governance, Enablement

St. Jude Children's Research Hospital - ALSAC

. Develop, execute, and own the enterprise data governance and enablement strategy, roadmap, and maturity plan .

Posted 10/28/2026full-timeMemphis • Tennessee • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and executing enterprise data governance strategies, policies, and frameworks while leading high-performing teams. Proficient in translating privacy obligations into actionable practices and ensuring compliance across complex data ecosystems.

Highest-signal resume keywords

Data Governance FrameworksPrivacy Risk ManagementEnterprise Program LeadershipData Quality and LineageExecutive Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManagementData QualityMetadata ManagementData CatalogingPrivacy Policy DevelopmentRisk AssessmentMachine Learning Data RequirementsGenerative AI PracticesData Retention PoliciesData Integration

Soft Skills

Change LeadershipNegotiationInfluencing Without AuthorityFacilitationTeam Leadership

Tools & Technologies

Cloud PlatformsAnalytics Delivery ToolsData Governance ToolsOperational WorkflowsAutomation Technologies

Certifications & Qualifications

Data Management CredentialsPrivacy CertificationsSecurity CertificationsRisk Management CertificationsProject Management Certifications

Industry Keywords

Healthcare-AdjacentHighly Regulated EnvironmentMission-DrivenConsumer Data ManagementFundraising

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Develop, execute, and own the enterprise data governance and enablement strategy, roadmap, and maturity plan
Establish policies, standards, decision rights, governance forums, escalation paths, and accountability across data owners, product owners, stewards, and custodians
Define measures for adoption, data quality, privacy risk, policy adherence, issue remediation, and value realization
Lead the operational privacy program within Enterprise Data & Intelligence
Translate 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
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
Establish enterprise practices for data ownership, quality, access, classification, metadata, lineage, integration, sharing, acceptable use, compliance, master and reference data, retention, and disposition
Lead adoption of the enterprise data catalog and glossary
Create risk-based certification and issue-management practices
Define and operationalize requirements for data collection, access, use, movement, sharing, retention, archival, and disposition
Establish governance requirements for data used in reporting, dashboards, self-service analytics, experimentation, advanced analytical products, machine learning, generative AI, and emerging technologies
Lead a high-performing team and federated community of data and privacy owners, stewards, analysts, and technology partners
Oversee role-based training and practical guidance on privacy, data handling, acceptable use, retention, sharing, and data responsibilities
Influence senior leaders and cross-functional teams to resolve competing priorities and embed governance into delivery
Partner with ITS and Product teams to embed data governance and privacy requirements into architecture, delivery methods, platforms, and operational workflows
Advance automation for metadata, lineage, data-quality monitoring, policy enforcement, access review, retention, consent and preference controls, and evidence collection
Continuously assess program maturity, regulation, technology, and organizational needs to improve controls and reduce manual effort

Requirements

What you’ll need

Bachelor's degree in information management, data or computer science, analytics, business, risk, law, public policy, or a related field is preferred, with equivalent education and experience considered
10 or more years of progressively responsible experience across data governance, data management, privacy, risk, technology, or related disciplines
Enterprise-scale program leadership experience
At least five years of experience leading teams, operating models, or federated communities in a complex environment
Experience establishing data governance frameworks, policies, standards, decision rights, and controls
Experience converting privacy and risk requirements into practical business and technology practices
Strong understanding of modern data ecosystems, metadata and catalog capabilities, data quality, lineage, cloud platforms, analytics delivery, and data requirements for machine learning and generative AI
Executive communication, facilitation, negotiation, change leadership, and ability to influence without direct authority
Ability to connect governance and privacy investments to growth, efficiency, trust, risk reduction, and strategic outcomes
Relevant credentials in data management, privacy, security, risk, analytics, project management, or business process management are valuable
Experience in a mission-driven, fundraising, consumer, healthcare-adjacent, or highly regulated environment is beneficial

Benefits

Comp & perks

Core Medical Coverage: low cost, low deductible Medical, Dental, and Vison Insurance plans
401K Retirement Plan with 7% Employer Contribution
Exceptional Paid Time Off
Maternity / Paternity Leave
Infertility Treatment Program
Adoption Assistance
Education Assistance
Enterprise Learning and Development