Assistant Director - Data Risk and Privacy Services
Liberty Mutual
Assistant Director - Data Risk and Privacy Services
- ID
- 2025-73770
- Position Type
- Full-Time
- Job Grade
- 17
- Department
- 043D-04625 DATA OFFICE - US
- Market
- US Retail Markets
- Referral Bonus Amount
- 1,500
- Minimum Salary
- USD $106,000.00/Yr.
- Maximum Salary
- USD $197,000.00/Yr.
- Typical Starting Salary
- $125,300 to $157,000
- Recruiter
- Leah Bumbalough
- Internal Application Deadline
- 1-21-2025
Description
The USRM Data Office is seeking an experienced product owner (Asst Dir, Data Products) to lead the development of a new Application Data Archive capability and to mature the existing Enterprise Records Management (ERM) services. These capabilities are critical to enabling USRM’s technology modernization efforts while ensuring we protect and correctly delete our customers’ data in accordance with compliance and regulatory requirements. This role will serve as a product owner for one or more Data Engineering delivery squads, partnering closely with architecture, solution design, Global Compliance and Ethics, and ERM program management to define requirements, develop delivery roadmaps, and manage delivery of a service leveraged across all of USRM’s application domains.
Responsibilities
- Establish a product vision and clear delivery roadmaps for Application Data Archive and Enterprise Records Management capabilities
- Collaborate closely with USRM architecture, USRM Data and Analytics Engineering (DAE), Global Compliance & Ethics, and Global Digital Services to develop an Application Data Archive solution that meets technical, regulatory, and business needs and works effectively with enterprise services; this may include thinking through proof-of-concept solutions and assessing whether they are viable and scalable in partnership with IT
- Serve as the voice of the customer: gather stakeholder input (Business, IT, Risk, Compliance, Legal) and drive decisions that balance regulation, usability, and technical feasibility.
- Own and prioritize the squad product backlog based on customer value; ensure user stories are clear, testable, and aligned to business outcomes.
- Drive agile planning and team cadences: lead PI planning, sprint planning, demos, and retrospectives together with the aligned delivery squad(s)
- Actively manage product delivery: identify and mitigate delivery risks and dependencies; work with stakeholders and delivery partners to effectively manage trade-offs; lead day-to-day delivery with the squad(s); communicate progress and roadblocks clearly with all stakeholders.
- Define success metrics and monitor product health (adoption, time-to-value, defect trends, compliance KPIs); use data to prioritize and de-risk work.
- Demonstrate a product mindset, driving toward solutions that create user value and focusing on business outcomes and impact.
Ideal experience includes:
- Practical experience with backlog management tools (e.g., Jira), road mapping, and metrics-driven decision making.
- Strong stakeholder management and communication skills including ability to establish clarity throughout the stages of product lifecycle management; comfortable in high-visibility, cross-functional settings.
- Demonstrated success collaborating with engineering teams and technical stakeholders to implement data services
- Experience delivering products in agile environments and comfort leading planning and work refinement ceremonies
- Understanding of data environments and tools such as SQL (Aurora PostgreSQL, Serverless, etc.), Java Spring, JavaScript / TypeScript, Node.js/React/Next.js, Spring Boot, AWS products (S3, Lambda, Data Migration service, Athena, Glacier), Kafka (standard and connector type), Kubernetes.
- Experience with Mainframe DB/2/VSAM, Cobol, Informatica, Snowflake, Python, Codacy, and/or MongoDB would be valuable but is not required
Qualifications
- Strong written and oral communication skills required
- Experience in communicating recommendations to senior business leaders preferred
- BA/BS, or relevant work experience, in Computer Science or related field preferred
- MBA or advanced degree in Mathematics, Computer Science, Engineering, Economics, or other quantitative discipline strongly preferred
- 5-7+ years of experience working in coding and data solutions design principles, particularly in open source tools and technology
Employees may apply for a new role after completing 12 months of employment in their current position.
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