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Humana

VP, Data Strategy – Governance

Humana

. Establish and own the enterprise data strategy and roadmap across people, process, technology, and budget .

Posted 10/20/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in data governance, data management, and data strategy, with a strong focus on compliance with regulations such as HIPAA, CCPA/CPRA, and GDPR. Proven ability to lead high-performing teams and drive enterprise-wide change through effective stakeholder management and communication.

Highest-signal resume keywords
Data Governance LeadershipData Quality FrameworksCloud Data Management (AWS, Azure, GCP)Regulatory Compliance (HIPAA, GDPR)Data Architecture Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data GovernanceData ManagementData StrategyData Quality ProcessesData LineageData CatalogsData Marketplace SystemsData AnonymizationData Security ControlsData Modeling
Soft Skills
Executive PresenceCommunication SkillsStakeholder ManagementCoalition-BuildingMentoring
Tools & Technologies
Data Governance PlatformsMetadata SystemsAutomated Metadata TaggingData Loss Prevention ToolsEncryption Technologies
Certifications & Qualifications
Advanced Degree in Computer ScienceAdvanced Degree in Data ScienceAdvanced Degree in Information ManagementAdvanced Degree in Cybersecurity
Industry Keywords
Consumer GoodsHealthcareFinancial ServicesTechnologyMatrixed Organizations

Tech Stack

Tools & technologies
AWSAzureCloudCyber SecurityGoogle Cloud Platform

About the role

Key responsibilities & impact
  • Establish and own the enterprise data strategy and roadmap across people, process, technology, and budget
  • Lead portfolio governance of enterprise data programs and ensure measurable business outcomes
  • Partner with the Chief Data & Analytics Officer and executive peers to articulate the value of data assets and influence investment decisions
  • Drive enterprise-scale data science and AI readiness through strong data infrastructure, lineage, quality, and accessibility
  • Develop and maintain a data product mindset with reusable, trusted, and documented data assets
  • Build, lead, and develop a high-performing team spanning sensitive data governance, lineage, enrichment, quality, democratization, and program management
  • Foster accountability, innovation, continuous learning, and data literacy across the organization
  • Recruit diverse senior talent, establish career pathways, and mentor future data leaders
  • Collaborate across Technology, Cybersecurity, Legal, Compliance, Finance, and business units to drive governance adoption
  • Define team operating models, performance metrics, and OKRs
  • Evaluate, select, and implement data governance platforms, catalogs, marketplaces, quality tools, and metadata systems
  • Modernize data scanning, automated tagging, labeling, classification, and data loss prevention capabilities
  • Design and deploy integrated data governance and security solutions across on-premises and cloud environments
  • Operationalize ML/AI-based governance approaches including lineage discovery, anomaly detection, synthetic data, and differential privacy
  • Enhance metadata management, data lineage, quality standards, master data management, and access governance
  • Define, publish, and enforce enterprise data policies, standards, and controls
  • Enable self-service data access with governance guardrails, role-based access controls, and marketplace infrastructure
  • Establish data stewardship and domain ownership models
  • Improve data anonymization, de-identification, and synthetic data capabilities
  • Lead the enterprise Data Risk Assessment program
  • Ensure compliance with HIPAA, CCPA/CPRA, GDPR, and other applicable regulations
  • Collaborate with Legal, Compliance, and Cybersecurity on regulatory changes and controls
  • Strengthen encryption, tokenization, masking, data loss prevention, and access control frameworks
  • Provide recurring executive and Board-level reporting on governance risk, compliance, and program maturity

Requirements

What you’ll need
  • 10+ years of senior leadership experience in data governance, data management, or data strategy roles within large, complex, matrixed corporate environments
  • 10+ years of hands-on data governance experience in on-premises and cloud-native environments, including AWS, Azure, GCP or equivalent
  • Demonstrated experience building and scaling data governance programs from concept through enterprise adoption
  • Proven experience managing and delivering large, multi-workstream programs on time and within budget
  • Hands-on experience and/or leadership responsibility for data catalogs, data lineage platforms, data marketplace systems, and data quality frameworks
  • Relevant experience in consumer goods, healthcare, financial services, or technology industries strongly preferred
  • Deep expertise in data architecture, data warehousing, data quality processes, and enterprise data modeling
  • Experience with encryption, tokenization, data masking, data loss prevention, and role-based access control design
  • Working knowledge of cybersecurity assessment methodologies and data security controls
  • Familiarity with automated metadata tagging, anomaly detection, synthetic data generation, and differential privacy
  • Strong command of HIPAA, CCPA/CPRA, GDPR, and related data privacy regulations
  • Ability to drive a product mindset across enterprise data and analytics and manage data products through their full lifecycle
  • Exceptional executive presence and communication skills for C-suite, Board, and business stakeholders
  • Ability to introduce emerging technologies and develop analytics-based capabilities with cost awareness and commercial strategy
  • Proven ability to drive enterprise-wide change in matrixed organizations through influence, coalition-building, and stakeholder management
  • Advanced degree (Master's or higher) in Computer Science, Data Science, Information Management, Statistics, Mathematics, Law, Cybersecurity, or a related field required

Benefits

Comp & perks
  • Full-time schedule of 40 hours per week
  • Equal opportunity employment and affirmative action protections