VP, Data Strategy – Governance

This is a fully remote position, open to applicants in District of Columbia, +5 more states.

📋 Description

• Develop and oversee the enterprise data strategy and roadmap encompassing people, processes, technology, and budget.

• Lead the governance of the enterprise data portfolio, ensuring measurable business outcomes.

• Collaborate with the Chief Data & Analytics Officer and executive colleagues to convey the value of data assets and influence investment choices.

• Propel enterprise-scale data science and AI readiness by establishing robust data infrastructure, lineage, quality, and accessibility.

• Cultivate a data product mindset by creating reusable, trusted, and well-documented data assets.

• Build, lead, and nurture a high-performing team focused on sensitive data governance, lineage, enrichment, quality, democratization, and program management.

• Promote accountability, innovation, continuous learning, and data literacy throughout the organization.

• Attract diverse senior talent, create career pathways, and mentor emerging data leaders.

• Work collaboratively with Technology, Cybersecurity, Legal, Compliance, Finance, and business units to enhance governance adoption.

• Define operational models, performance metrics, and OKRs for the team.

• Assess, select, and implement data governance platforms, catalogs, marketplaces, quality tools, and metadata systems.

• Modernize capabilities for data scanning, automated tagging, labeling, classification, and data loss prevention.

• Design and implement integrated data governance and security solutions across both on-premises and cloud environments.

• Operationalize ML/AI-based governance strategies, 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.

• Facilitate self-service data access with governance safeguards, role-based access controls, and marketplace infrastructure.

• Establish data stewardship and domain ownership models.

• Improve capabilities in data anonymization, de-identification, and synthetic data generation.

• Lead the enterprise Data Risk Assessment program.

• Ensure compliance with HIPAA, CCPA/CPRA, GDPR, and other relevant regulations.

• Collaborate with Legal, Compliance, and Cybersecurity on regulatory updates and controls.

• Strengthen frameworks for encryption, tokenization, masking, data loss prevention, and access control.

• Provide regular reports to executives and the Board regarding governance risk, compliance, and program maturity.

⛳️ Requirements

• Over 10 years of senior leadership experience in data governance, management, or strategy roles within large, complex, matrixed corporate environments.

• More than 10 years of practical data governance experience in on-premises and cloud-native settings, including AWS, Azure, GCP, or similar platforms.

• Proven track record in building and scaling data governance programs from inception to enterprise-wide adoption.

• Demonstrated capability in managing and delivering large, multi-workstream programs on schedule and within budget.

• Hands-on experience and/or leadership roles involving data catalogs, data lineage platforms, data marketplace systems, and data quality frameworks.

• Relevant experience in the consumer goods, healthcare, financial services, or technology sectors is highly preferred.

• Deep knowledge in data architecture, data warehousing, data quality processes, and enterprise data modeling.

• Familiarity with encryption, tokenization, data masking, data loss prevention, and role-based access control design.

• Working knowledge of cybersecurity assessment methodologies and data security controls.

• Awareness of automated metadata tagging, anomaly detection, synthetic data generation, and differential privacy.

• Strong understanding of HIPAA, CCPA/CPRA, GDPR, and related data privacy regulations.

• Ability to foster a product mindset across enterprise data and analytics, managing data products throughout their entire lifecycle.

• Exceptional executive presence and communication skills for interactions with C-suite, Board, and business stakeholders.

• Capacity to introduce emerging technologies and develop analytics-based capabilities with a focus on cost awareness and commercial strategy.

• Proven ability to drive enterprise-wide change in matrixed organizations through influence, coalition-building, and stakeholder management.

• An advanced degree (Master's or higher) in Computer Science, Data Science, Information Management, Statistics, Mathematics, Law, Cybersecurity, or a related field is required.

🏝️ Benefits

• Full-time schedule of 40 hours per week.

• Equal opportunity employment and affirmative action protections.