채용
Benefits & Perks
•Healthcare
•401(k)
•Learning Budget
•Unlimited PTO
•Parental Leave
•Healthcare
•401k
•Learning
•Unlimited Pto
•Parental Leave
Required Skills
Product Management
Leadership
Data Governance
Analytics
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:
Data Product Strategy:
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Define and own the data product strategy and operating model.
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Establish and manage domain-based data product portfolios, including customer, transaction, risk, and operations domains.
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Translate enterprise strategy into multi-year data product roadmaps supported by clearly defined value cases.
Leadership & Team Development:
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Lead, mentor, and scale a team of Data Product Managers.
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Establish standards for product discovery, requirements definition, documentation, and delivery.
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Foster a culture of accountability, outcomes, and continuous improvement.
Delivery Oversight & Execution:
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Oversee delivery of complex, cross-domain data products and data platforms.
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Ensure alignment between data product teams, data engineering, and analytics functions.
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Remove organizational blockers and manage dependencies across teams.
Governance, Risk & Compliance
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Partner with Data Governance, Risk, Legal, and Compliance teams to embed controls within data products.
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Ensure data products meet regulatory requirements related to privacy, lineage, auditability, and data retention.
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Establish clear ownership, stewardship, and accountability for enterprise data domains.
Executive Stakeholder Engagement:
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Serve as a trusted advisor to senior business and technology leaders.
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Communicate data product strategy, progress, and value to executive audiences.
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Balance competing priorities across business units while driving enterprise alignment.
Measurement & Value Realization:
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Define success metrics for data products, including adoption, data quality, and business impact.
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Track ROI and ensure data initiatives deliver measurable outcomes.
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Drive continuous optimization of the enterprise data product portfolio.
What you will bring:
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8–10+ years of experience in product management, with 4+ years focused on data, analytics, or platform products.
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5–6+ years of experience in people leadership or senior product leadership roles.
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Experience working in financial services or other highly regulated industries.
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Strong understanding of enterprise data platforms, including data lakes, data warehouses, and streaming technologies.
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Strong understanding of analytics, business intelligence, and metrics layers.
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Experience with data governance practices, including metadata management, data lineage, and data quality.
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Proven success leading large-scale, cross-functional initiatives at the enterprise level.
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Familiarity with data mesh or domain-oriented data product models desired.
What will set you apart:
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Background in analytics, engineering, or quantitative roles preferred.
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Experience presenting to executive leadership and governance forums is a plus.
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Experience with cloud-native data ecosystems such as AWS, Snowflake, or Redshift preferred.
What we offer you
We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.
- Medical, dental, vision and life insurance
- Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
- Tuition reimbursement up to $5,250/year
- Business-casual environment that includes the option to wear jeans
- Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
- Paid volunteer time — 16 hours per calendar year
- Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
- Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.
Base Salary Range
$114,000.00 - $165,300.00
The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.
Equal opportunity employer • Drug-free workplace
We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.
For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.
Job Posting End Date at 12:01 am on:
02-28-2026
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About Empower

Empower
PublicEmpower Annuity Insurance Company of America is a retirement plan recordkeeping financial holding company based in Greenwood Village, Colorado, United States. It is the second-largest retirement plan provider in the United States.
5,001-10,000
Employees
Greenwood Village
Headquarters
Reviews
3.8
15 reviews
Work Life Balance
3.0
Compensation
3.5
Culture
3.0
Career
4.0
Management
3.0
75%
Recommend to a Friend
Pros
Free financial management platform
Fast account syncing and connectivity
Good 401k management options
Cons
Limited fund options for retirement accounts
Mixed user experience feedback
Account management complexity
Salary Ranges
44 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Junior Analyst
1 reports
$88,394
total / year
Base
$67,995
Stock
-
Bonus
-
$88,394
$88,394
Interview Experience
10 interviews
Difficulty
2.6
/ 5
Duration
14-28 weeks
Offer Rate
10%
Experience
Positive 10%
Neutral 30%
Negative 60%
Interview Process
1
Application Review
2
Phone/Recruiter Screen
3
Initial Interview
4
Follow-up Interview(s)
5
Final Round Interview
6
Offer Decision
Common Questions
Behavioral/STAR
Past Experience
Role-Specific Skills
Culture Fit
Customer Service Scenarios
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