Data Product Manager

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $96.1k - $135.7k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

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Empower

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.

📋 Description

• Own the roadmap, priorities, delivery, and ongoing management of assigned enterprise data products or components of a data domain • Understand how data products are sourced, transformed, governed, and consumed, and identify opportunities to improve reliability, usability, quality, and business value • Use SQL to investigate data questions, validate business logic, analyze multiple tables, trace discrepancies, and assess expected results • Troubleshoot data quality issues, evaluate downstream impact, and partner with technical and business teams on resolution • Translate business, analytical, operational, and regulatory needs into product requirements • Define and maintain product requirements, epics, user stories, and documentation for datasets, metrics, APIs, dashboards, and related data capabilities • Partner with data engineering and architecture teams on data models, pipelines, interfaces, dependencies, and architecture decisions • Resolve conflicts among business definitions, source data, technical constraints, and governance requirements • Incorporate data quality, metadata, lineage, master data management, access, privacy, and retention requirements into product decisions • Ensure data products meet expectations for quality, performance, availability, scalability, security, and usability • Support regulatory, risk, and audit reviews • Track and report data product usage, quality, delivery performance, and product health • Drive adoption through documentation, stakeholder communication, and enablement • Work within Agile delivery practices while balancing roadmap priorities, data issues, regulatory requirements, and changing business priorities • Establish priorities, understand data flows and dependencies, identify quality or usability gaps, and strengthen delivery, governance, measurement, and use during the first 6 to 12 months

🎯 Requirements

• Bachelor’s degree in computer science, engineering, business, or a related field • 5 to 7+ years of product management experience, including data, analytics, or platform products • Advanced SQL and data analysis capability with complex datasets • Ability to write and interpret complex joins across multiple tables, trace transformations, validate business logic, reconcile conflicting results, and investigate data quality issues independently • Demonstrated experience using SQL to solve meaningful business or product problems • Ability to use SQL and data analysis for product decision-making, requirements validation, defect investigation, and outcome assessment • Demonstrated ownership of a data product, data capability, or meaningful component of a data domain from business need through delivery and ongoing use • Experience working with data engineers and architects on data models, pipelines, or architecture decisions • Experience translating ambiguous business needs into actionable requirements resulting in a delivered dataset, metric, API, dashboard, or other data capability • Experience identifying or resolving data quality, governance, or control issues • Working knowledge of data modeling and data architecture • Working knowledge of data pipelines and data movement and transformation • Working knowledge of data warehouses and data lakes • Understanding of data governance, data quality, metadata management, data lineage, and master data management • Familiarity with Agile and Scrum delivery methodologies • Understanding of financial services controls • Applicants must be authorized to work for any employer in the U.S.; employment visa sponsorship, including CPT/OPT, is unavailable • Preferred: experience delivering data products in financial services, fintech, or another regulated industry • Preferred: experience with APIs in data products • Preferred: experience with AWS, Azure, or GCP • Preferred: experience with BI, analytics tools, or metrics layers • Preferred: background in analytics, data engineering, or a quantitative role

🏖️ Benefits

• 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. • Bonus program opportunity for non-sales positions • Reliable high-speed internet with a wired connection and a home workspace; necessary computer equipment will be provided