Director of Product – Enterprise Data & Analytics

Job Summary

The Director of Product - Enterprise Data Analytics leads the strategy, development, and ongoing success of enterprise data and analytics products. This role combines strategic product leadership with the development of high-performing global teams, including Product Managers, Product Owners, Product Analysts, and Scrum Masters.

Key Responsibilities

• Enterprise Data Product Portfolio Management — Serve as the steward of a portfolio of enterprise data products spanning analytical, and transactional products, Lead investment prioritization, and product lifecycle management. Establish product performance measures and continuously evaluate adoption, quality, business impact, and customer outcomes.

• Stakeholder Engagement and Cross-Functional Collaboration — Build strong partnerships across business, data, and technology organizations to align product strategy with enterprise priorities. Communicate product vision, roadmap, priorities, and results to stakeholders and executive leadership. Partner closely with governance, architecture, engineering, security, and data management leaders to ensure data products are trusted, discoverable, secure, compliant, and well governed, while driving adoption and incorporating stakeholder feedback into future data product decisions.

• Technical and Data Platform Leadership — Bring sufficient depth in modern data and analytics platforms, data engineering, APIs, event-driven architectures, and AI-enabled data capabilities to effectively partner with engineering and architecture leaders. Guide strategic decisions related to enterprise data platforms and data product design ensuring solutions are technically sound, scalable, and aligned with long-term enterprise architecture and business strategy.

Skills And Background You’ll Need

• Educational Requirements: A High School Diploma or GED is required. A Bachelor’s or Master’s degree in Computer Science, Product Management, Data Science, Analytics, Engineering, Business Administration, or relevant field is preferred.

• Experience: 12+ years of progressive technology leadership experience, including 7+ years in senior management roles leading product portfolios and teams. Proven success in designing and building advanced analytics products at scale. Ownership of enterprise data products and data as a product practice. Ability to communicate clearly and concisely on complex technical topics, verbally and visually, across all levels of the organization. Experience with scaled Agile delivery, Scrum, and portfolio-grade agile frameworks. Hands-on experience with the following is preferred: Jira, Databricks/lake house platforms, Cloud data platforms (Azure), lake house architecture, enterprise data platforms, data storage, data pipelines, data orchestration, data integration, software engineering practices, data assets, understanding of analytical products & transactional products, APIs, event-driven architecture, AI enabled data capabilities, GenAI enablement. Preferred certifications: PMP, Lean Six Sigma or equivalent.