Director Data Products & Strategy
Listed on 2026-01-18
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IT/Tech
Data Analyst, Data Engineer
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 leads the vision, strategy, execution, and governance of enterprise data products across the organization. This role ensures data assets are delivered as trusted, compliant, and high‑value products that enable critical business decisions within a highly regulated financial services environment. This leader partners closely with Technology, Analytics, Risk, Compliance, 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 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 delivery of complex, cross‑domain data products and data platforms.
- Ensure alignment between 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 ROI and ensure data initiatives deliver measurable outcomes.
- Drive continuous optimization of the enterprise data product portfolio.
- 8-10+ years of experience in product management, with 4+ years focused on data, analytics, or platform products.
- 5-6+ years of experience in people leadership or senior product leadership roles.
- Experience working in financial services or other highly regulated industries.
- 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.
- Familiarity with data mesh or domain‑oriented data product models desired.
- Background in analytics, engineering, or quantitative roles preferred.
- Experience presenting to executive leadership and governance forums is a plus.
- Experience with cloud‑native data ecosystems such as AWS, Snowflake, or Redshift preferred.
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