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. Working closely with business, technology, and data leaders, the Director defines product vision, establishes priorities, and delivers trusted, scalable data and analytics capabilities that improve decision‑making and business outcomes.

• 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.
• Guide strategic decisions related to enterprise data platforms and data product design to ensure solutions are technically sound, scalable, and aligned with long‑term enterprise architecture and business strategy.

Education

• 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 a 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.
• Experience with scaled Agile delivery, Scrum, and portfolio‑grade agile frameworks.
• Hands‑on experience with Jira, Databricks/lake house platforms, Azure cloud data platforms, lake house architecture, enterprise data platforms, data pipelines, data orchestration, data integration, APIs, event‑driven architecture, AI‑enabled data capabilities, and GenAI enablement.
• Preferred certifications: PMP, Lean Six Sigma, or equivalent.

Key Behaviors of a Successful Candidate

• Strategic Visioning:
  Connects business priorities to long‑term outcomes and helps leaders focus on the highest‑value opportunities.
• Engaging Hearts & Minds:
  Builds alignment across leaders, teams, and stakeholders while fostering collaboration and commitment.
• Developing People:
  Effectively coaches and develops talent while building high‑performing teams.

• Medical, dental, vision, and 401(k) plan with company matching.
• Annual incentive bonus plan.
• Generous paid time off, including 11 holidays, 2 wellness days, and 8 volunteer hours annually (PTO increases with tenure).
• Paid parental leave and adoption/surrogacy assistance.
• Employee giving program that double matches donations to eligible nonprofits and schools.

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The Standard is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, national origin, gender identity, sexual orientation, age, disability or veteran status or any other condition protected by federal, state or local law. The Standard may consider qualified applicants with arrest and conviction records pursuant to the San Francisco Fair Chance Ordinance.

The Standard is a drug‑ and alcohol‑free workplace and requires a criminal background investigation and other employment verifications. All employees must be bondable. The Standard of American Heritage and associated insurance companies are affirmative action employers under all relevant laws. Positions will be posted for at least 5 days from the original posting date.

This role can be performed remotely.