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VP - Product Management (Data & AI Governance)

EDB

Full-time
USA
product management
risk management
leadership
partnerships
communication
Apply for this position

*Candidate Note: This position is 100% remote for candidates based in the US**

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 5–7 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.

Apply for this position
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About the job

Full-time
USA
Posted 4 days ago
product management
risk management
leadership
partnerships
communication

Apply for this position

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VP - Product Management (Data & AI Governance)

EDB

*Candidate Note: This position is 100% remote for candidates based in the US**

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 5–7 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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