Enterprise Data Strategy Leader
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.
Responsibilities :
- 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.