Director of Data and Product Strategy

This role is responsible for defining and leading the enterprise data strategy that transforms our current state into a unified, governed, and AI-ready data ecosystem. By applying product thinking and a strategic mindset, this leader will ensure data becomes a reusable, high-value asset that powers innovation, automation, and decision-making across the business. This role will bridge vision and execution, driving alignment across functions and delivering tangible business outcomes through data.

• Develop and lead a product-oriented data strategy that views data as a foundational product, driving enterprise value through reusability, discoverability, and continuous iteration.
• Design and execute a roadmap to transform enterprise data from its current fragmented and unstructured state into a unified, governed, and AI-ready ecosystem.
• Identify and address gaps in current data governance practices, defining clear strategies to transition from current to desired future states.
• Oversee the development and implementation of agent testing practices to ensure quality assurance, reduce risk, and maintain data integrity across AI-driven workflows.
• Lead cross-functional data governance councils and influence senior stakeholders to drive alignment, adoption, and cultural change.
• Champion the "Human in the Loop" approach, defining governance and operational models to effectively integrate human oversight with automated processes.

QUALIFICATIONS 

• Bachelor’s degree in Data Science, Computer Science, Information Systems, or related field required. Master's Degree preferred. 
• Minimum of eight (8) years of experience in data strategy, governance, or architecture with at least 5 years in a leadership capacity.
• Proven experience working across product and engineering teams to build scalable data capabilities with business impact.
• Strong understanding of data as a product concepts, metadata management, and platform thinking.
• Demonstrated expertise with Knowledge Graphs, abstraction layers, and modern data architecture.
• Familiarity with AI, ML, and automation technologies, including QA and testing frameworks for intelligent agents.
• Exceptional communication and stakeholder management skills with the ability to drive vision, influence decisions, and create clarity amid complexity.
• Strategic thinker with a product mindset and entrepreneurial drive.
• Passionate about solving complex data problems to unlock business value.
• Collaborative and inclusive leader skilled at building momentum across functions.
• Resilient and results-driven, with the ability to navigate ambiguity and deliver measurable impact.
• Experience leading transformation efforts in large-scale, matrixed environments.