Principal, Head of Data & AI Transformation Programs

A Little About Us

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. For more information, visit www.enterprisedb.com

Job Description:

The Principal, Head of Data & AI Transformation Programs will lead the orchestration of EDB’s enterprise-wide AI initiatives. This leader will connect strategy with execution, driving adoption, governance, and delivery of AI and data initiatives across the organization.

You will collaborate with Engineering, Product, GTM, and Operations leaders to design and scale an AI operating model that moves beyond proofs of concept toward measurable production outcomes. The ideal candidate combines strong program management skills with technical fluency in data systems, automation, and AI technologies.

What your impact will be:

Program Leadership and Technical Delivery

• Lead and manage the execution of EDB’s strategic Data, Automation, and AI roadmap from concept through production deployment.
• Translate high-level AI strategy into actionable, measurable programs with clear technical milestones and KPIs.
• Partner with Engineering and IT to ensure the scalable, secure, and compliant delivery of AI initiatives across EDB.
• Drive productionization of AI workflows, shifting from business-led proofs of concept to centrally supported, operationalized systems.
• Define and evolve the operating model for AI deployment, integrating data engineering, MLOps, and governance frameworks.

Enablement and Adoption

• Act as an AI enablement leader by embedding AI capabilities into core workflows across business functions.
• Partner with HR and Communications to scale digital fluency and AI literacy initiatives company-wide.
• Build repeatable enablement frameworks for internal and customer-facing AI applications within the Customer Zero model.
• Lead continuous feedback loops between internal users, product, and data teams to inform future enhancements.

Cross-Functional Coordination and Governance

• Collaborate with Product, Engineering, Legal, and Security teams to implement AI governance and data management standards.
• Partner with Trust, Risk, and Compliance to ensure all AI workloads adhere to security and regulatory policies.
• Drive alignment with the Central AI Committee and Communities of Practice on tooling, data access, and AI deployment patterns.
• Support EDB’s Postgres AI and Sovereign AI roadmaps, ensuring integration across analytical, transactional, and ML systems.

Measurement and Impact

• Define, track, and report on KPIs tied to AI-driven business value such as automation efficiency, customer engagement, and retention uplift.
• Partner with BI teams to operationalize these metrics within tools like Tableau or other observability platforms.
• Build and maintain visibility into AI workloads, resource utilization, and infrastructure cost forecasting.
• Lead the measurement and reporting of impact across all AI initiatives, from internal productivity gains to customer outcomes.

What you will bring:

• 10+ years leading Data, AI, or Digital Transformation initiatives, ideally in enterprise environments.
• Proven experience building and managing data-centric or AI programs that bridge business, technical, and governance domains.
• Strong understanding of AI systems and architecture, including embedded AI, generative AI, BYOAI, and model deployment frameworks.
• Experience with data governance, MLOps, and automation tools, along with familiarity with cloud environments such as AWS, GCP, or Azure.
• Strong program management skills, comfortable driving complex, multi-stakeholder initiatives from inception to delivery.
• Ability to translate complex technical concepts into actionable strategies and execution plans.
• Strong