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Director Data Products & Strategy

Empower
Overland Park, United Statesfull_timeVerifiedPosted 4 Aug 2026
💰 $200,100/yr($138,000/yr$200,100/yr)

About the role

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.

The Director, Data Products & Strategy will lead the vision, strategy, execution, and governance of enterprise data products across the organization. This role will ensure data assets are delivered as trusted, compliant, and high-value products that support critical business decisions within a highly regulated financial services environment. The Director will partner closely with Technology, Analytics, Risk, Compliance, Legal, and Business stakeholders to align data investments with enterprise priorities, establish consistent data product management practices, and build a scalable organization that balances innovation with regulatory expectations.

What you will do:

  • Define and own the enterprise data product strategy and operating model.
  • Establish and manage domain-based data product portfolios, including customer, transaction, risk, and operations domains.
  • Translate enterprise strategy into multi-year data product roadmaps supported by clearly defined value cases.
  • Lead, mentor, and scale a team of Data Product Managers.
  • Establish standards for product discovery, requirements definition, documentation, and delivery.
  • Foster a culture of accountability, outcomes, and continuous improvement.
  • Oversee the delivery of complex, cross-domain data products and data platforms.
  • Ensure alignment among data product teams, data engineering, and analytics functions.
  • Remove organizational blockers and manage dependencies across teams.
  • Partner with Data Governance, Risk, Legal, and Compliance teams to embed controls within data products.
  • Ensure data products meet regulatory requirements related to privacy, lineage, auditability, and data retention.
  • Establish clear ownership, stewardship, and accountability for enterprise data domains.
  • Serve as a trusted advisor to senior business and technology leaders.
  • Communicate data product strategy, progress, and value to executive audiences.
  • Balance competing priorities across business units while driving enterprise alignment.
  • Define success metrics for data products, including adoption, data quality, and business impact.
  • Track return on investment and ensure data initiatives deliver measurable outcomes.
  • Drive continuous optimization of the enterprise data product portfolio.

What you will bring:

  • 8 to 10+ years of product management experience, including 4+ years focused on data, analytics, or platform products.
  • 5 to 6+ years of experience in people leadership or senior product leadership roles.
  • Experience working in financial services or another highly regulated industry.
  • Strong understanding of enterprise data platforms, including data lakes, data warehouses, and streaming technologies.
  • Strong understanding of analytics, business intelligence, and metrics layers.
  • Experience with data governance practices, including metadata management, data lineage, and data quality.
  • Proven success leading large-scale, cross-functional initiatives at the enterprise level.

What will set you apart:

  • Experience with cloud-native data ecosystems such as AWS, Snowflake, or Redshift.
  • Familiarity with data mesh or domain-oriented data product models.
  • A background in analytics, engineering, or quantitative roles.
  • Experience presenting to executive leadership and governance forums.

This job operates in a professional office environment.

This job description is not intended to be an exhaustive list of

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Company

Empower

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