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

• 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.
• 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.
• 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.
• Communication Skills: Ability to communicate clearly and concisely on complex technical topics, verbally and visually, across all levels of the organization.
• Technical Skills: 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.

Why Join The Standard?

• A rich benefits package including medical, dental, vision and a 401(k) plan with matching company contributions.
• An annual incentive bonus plan.
• Generous paid time off including 11 holidays, 2 wellness days, and 8 volunteer hours annually — PTO increases with tenure.
• A supportive, responsive management approach and opportunities for career growth and advancement.
• Paid parental leave and adoption/surrogacy assistance.
• An employee giving program that double matches your donations to eligible nonprofits and schools.

Salary Range

$122,250.00 - $232,750.00