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VP, Product Management (Data & AI Governance)

VP, Product Management (Data & AI Governance)

Virginia StaffingRichmond, VA, US
1 day ago
Job type
  • Full-time
Job description

Vice President Of Data & Ai Governance

EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. EDB empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, EDB supports major government organizations, financial services, media and information technology companies. EDB's data-driven solutions enable customers to modernize legacy systems and break data silos while leveraging enterprise-grade open source technologies. EDB delivers the confidence of up to 99.999% high availability with mission critical capabilities built in such as security, compliance controls, and observability.

As the Vice President of Data & AI Governance, you will be the visionary leader for this new product line. Reporting directly to the CPO, you will define the strategy, build the team, design the governance framework, and launch innovative solutions that help our customers manage data trust, model governance, compliance, metadata, lineage, ethical AI, and the full lifecycle of analytics and AI. You will partner closely with Engineering, Sales and our strategic partners to ensure that governance is embedded and commercialized. Your leadership will be foundational-setting the direction, culture, and capabilities of this new offering, and helping EDB deliver governance-first value to customers in the age of data, AI and regulatory scrutiny.

Your impact will be :

  • Defining and owning the go-to-market strategy and roadmap for EDB's data & AI governance offering, aligned with market demand, regulatory trends and EDB's core product ecosystem.
  • Building, leading and scaling a high-performing team covering governance strategy, metadata & lineage, data quality, model governance, policy & compliance, risk management, and enablement.
  • Developing governance frameworks, standards and toolsets that address data governance (data catalogs, lineage, stewardship), model governance (monitoring, bias, transparency), and compliance (privacy, AI regulation).
  • Partnering with Engineering to embed governance capabilities into EDB's PG AI platform- enabling customers to adopt governable data and AI at scale.
  • Collaborating with legal, compliance, risk, and security functions to anticipate regulation (e.g., AI Act, data sovereignty, privacy laws) and build solutions that ensure customers meet evolving requirements.
  • Evangelizing governance as a value differentiator : articulating and quantifying business outcomes (data trust, faster AI adoption, risk reduction, audit readiness) to customers, partners and internal stakeholders.
  • Evangelizing internally and externally : representing EDB's governance vision to customers, analysts, industry forums and drive thought leadership in the governance domain.
  • Defining and tracking success metrics and KPIs for the business unit : adoption, customer satisfaction, governance maturity improvement, revenue growth, cost savings, compliance incidents avoided.
  • Make strategic build vs. buy decisions for governance tooling and partner ecosystems, stay abreast of emerging technologies (metadata automation, model observability, vector governance, data mesh).
  • Manage budget, resource allocation, and roadmap prioritization for the governance business unit.

What you will bring :

  • Minimum 10+ years of progressive experience in data, analytics, AI, and governance roles, with at least 57 years in senior leadership (VP / Director) positions.
  • Proven track record building and scaling governance programs (data governance, AI / model governance or analytics governance) preferably in enterprise software, cloud, or data-centric companies.
  • Deep knowledge of data governance disciplines : metadata / lineage, data quality, stewardship, master data management, data cataloging, and model governance.
  • Strong expertise in AI / ML governance : model monitoring, bias mitigation, transparency, auditability, AI risk frameworks.
  • Excellent strategic business acumen : ability to translate governance investments into measurable business value (speed, trust, risk mitigation, compliance).
  • Exceptional leadership, communication and cross-functional collaboration skills : able to engage executives, product teams, engineering, legal / compliance and customers.
  • Experience operating in regulated environments (e.g., financial services, healthcare, global enterprises) including understanding of privacy laws, AI regulation, data sovereignty.
  • Demonstrated ability to launch new products, define product-market fit, and scale go-to-market.
  • Strong track record of decision-making around technology strategy, tool selection, vendor ecosystems and partnerships.
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