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.
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