Lead Data Product Owner
Genworth
full-time
Posted on:
Location Type: Office
Location: Richmond • Virginia • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
CloudPythonSQL
About the role
- Define and communicate the vision, strategy, and roadmap for data products, ensuring alignment with business goals and stakeholder needs.
- Identify key challenges and opportunities where data can provide solutions, translating business requirements into clear product features and user stories.
- Orchestrate collaboration between data scientists, engineers, analysts, and business users to deliver high-impact data products.
- Establish and maintain standardized documentation formats, processes, and procedures for data product development.
- Coach and mentor team members on best practices in data product management methodologies.
- Manage the product backlog, prioritize features, and oversee the development lifecycle from ideation to delivery.
- Track, assist with, and perform user acceptance and production testing and validate data via queries.
- Serve as the central hub of communication, keeping stakeholders informed about product progress, challenges, and upcoming features.
- Gather and incorporate user feedback to iterate and refine data products for optimal user experience.
- Ensure data products adhere to industry regulations, data governance standards, and best practices for data protection, privacy, and security.
- Coordinate with security and compliance teams to maintain robust access controls and data governance strategies.
- Define and monitor key performance indicators (KPIs) to measure product success and drive continuous optimization.
- Identify and investigate process and data issues using structured problem-solving approaches.
- Leverage technologies and platforms from AI to dashboards to drive changes to create new and better insights.
- Participate in or lead ad hoc projects as assigned, contributing to the overall success of the data strategy.
Requirements
- Bachelor’s Degree in a business, analytical, or technical discipline.
- Minimum 3 years of experience as a data product owner with a proven track record of successful data products
- Minimum 5 years of experience in financial services, insurance, medical, or a related industry
- Strong preference for insurance data expertise in claims and actuary
- Experience implementing data governance capabilities such as data definitions and data quality
- Strong hands-on experience with SQL and capability to analyze data
- Advanced understanding of data technologies (data warehouses, databases, data lakes)
- Programming experience (DataBricks and Python preferred)
- Understanding of AI, ML and other advanced analytical models
- Experience leveraging cloud characteristics for data product designs
- Experience managing the Systems Development Lifecycle from product concept through production support
- Experience with agile methodologies and product management practices
- Experience with regulatory and security requirements
- Excellent oral and written communication skills
- Demonstrated ability to manage multiple tasks, projects, and processes in a dynamic environment
- This role is not eligible for employment visa sponsorship
Benefits
- Competitive Compensation & Total Rewards Incentives
- Comprehensive Healthcare Coverage
- Multiple 401(k) Savings Plan Options
- Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)
- Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave
- Disability, Life, and Long Term Care Insurance
- Tuition Reimbursement, Student Loan Repayment and Training & Certification Support
- Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)
- Caregiver and Mental Health Support Services
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data product managementSQLDataBricksPythondata governancedata analysisdata warehousingdata lakesAIML
Soft skills
communicationcoachingmentoringproblem-solvingproject managementcollaborationprioritizationuser feedback incorporationdynamic task managementstakeholder engagement