Impact Intelligence Product Manager

Metlife Legal Plans•Remote, US,

16h•$125,000 - $150,000•Remote

About The Position

MetLife Legal Plans is seeking a Product Manager for its Impact Intelligence team. This fully remote role may be performed from anywhere in the continental United States and sits at the intersection of business strategy, analytics, and data engineering. The Product Manager partners with business stakeholders to understand the decisions and outcomes behind data requests, turns those needs into clear, testable requirements, and guides delivery of trusted, reusable data products and insights. The role connects business context with technical execution by clarifying ambiguous requests, defining value and priorities, aligning stakeholders on scope and acceptance criteria, and communicating with executives, business partners, analysts, analytics engineers, and data engineers. The Product Manager owns the product backlog and roadmap, supports Agile delivery, ensures consistency of metrics and business definitions, validates delivered capabilities, and uses outcomes and stakeholder feedback to improve products and ways of working. MetLife Legal Plans describes itself as the country's largest provider of legal voluntary benefits, with more than 40 years of experience, nearly 7 million families served, and services offered by more than 200 Fortune 500 companies. Optional travel to team meetups is available. The anticipated application close date is 11/4.

Requirements

At least 5 years of experience in product management, product ownership, business analysis, data and analytics, or a related role, including delivery of data or analytics products.
Demonstrated ability to turn ambiguous business needs into clear requirements, user stories, acceptance criteria, process flows, and prioritized backlogs.
Working knowledge of dimensional data modeling, including facts, dimensions, grain, keys, slowly changing dimensions, and semantic or metrics layers.
Working knowledge of modern data warehousing, including ingestion, transformation, orchestration, data lineage, data quality, metadata, and governed access.
Strong data analysis skills and proficiency using SQL to explore data, validate requirements, investigate issues, and assess delivered outcomes.
Practical experience with Agile and Scrum methods, including discovery, backlog management, refinement, sprint planning, reviews, retrospectives, and incremental delivery.
Ability to communicate effectively with technical and nontechnical audiences, including senior leaders, business subject-matter experts, analysts, and engineers.
Excellent facilitation, problem-solving, prioritization, negotiation, and written communication skills.
Ability to work independently and collaboratively in a fast-paced, dynamic environment while managing multiple stakeholders and competing priorities.
Understanding of data governance, privacy, security, and data quality principles as they apply to analytics products.

Nice To Haves

Experience with cloud data platforms and analytics tools such as Amazon Redshift, DBT Cloud, Tableau, GitHub, or Jira.
Knowledge and hands-on experience applying AI capabilities within DBT and Tableau, such as DBT AI-assisted development features, Tableau Pulse, Einstein Copilot, or similar generative analytics tools.
Experience using external generative AI tools such as Microsoft Copilot or Claude to accelerate requirements writing, documentation, data analysis, and other product management tasks.
Skill in describing and illustrating complex data concepts for varied audiences with tools such as PowerPoint, Word, and AI visual generation tools.
Experience defining or managing semantic models, certified data sets, dashboards, metrics, or self-service analytics products.
Experience supporting business domains such as customer enrollment, retention, operations, finance, sales, service, or digital product analytics.
Product Owner or Agile certification such as CSPO, PSPO, PMI-ACP, or SAFe POPM.
Bachelor's degree from an accredited university or equivalent relevant experience.
Ability to communicate complex concepts using written or visual tools and skills with current AI tools and capabilities related to data activities.

Responsibilities

Engage business partners to understand business objectives, decisions to be supported, target audiences, success measures, constraints, and urgency.
Translate business questions into epics, features, user stories, data requirements, business rules, acceptance criteria, and nonfunctional requirements.
Facilitate discovery sessions to identify source systems, grain, dimensions, facts, hierarchies, calculation logic, data quality expectations, security considerations, and refresh needs.
Partner with data analysts, analytics engineers, and data engineers to shape valuable, feasible, scalable, secure, and maintainable solutions.
Own and prioritize the product backlog based on business value, strategic alignment, customer impact, risk, dependencies, data readiness, and delivery effort.
Lead backlog refinement, sprint planning, reviews, stakeholder demonstrations, and retrospectives with the delivery team.
Define and maintain an Impact Intelligence product roadmap that balances near-term business needs with reusable enterprise data assets.
Ensure requirements preserve consistent metrics and shared business definitions across semantic models, dashboards, analyses, and downstream use cases.
Validate delivered capabilities with business partners, confirm acceptance criteria, coordinate user acceptance testing, and support adoption through release communications and enablement.
Monitor product outcomes and stakeholder feedback and use evidence to improve prioritization, data products, and team practices.
Identify and manage dependencies, risks, scope changes, and trade-offs; escalate decisions with concise options and impact statements.
Communicate technical concepts in business terms and business needs in data terms, tailoring communication to the audience.

Benefits

Two healthcare insurance options: Traditional PPO or HSA with employer contribution.
Dental insurance.
Vision insurance.
401(k) plan with company contribution and access to financial advisors.
Paid Time Off program of 23–39 days annually based on years of service, with prorated PTO for new hires.
Free Aura identity theft and fraud protection.
Free access to the MetLife Legal Plans benefit.
Company-paid short- and long-term disability.
Corporate discounts.
Market-competitive salaries with annual bonus eligibility.
Nine company-paid holidays.
Paid parental leave.
Parking or RTA subsidy for Cleveland employees.
Pet insurance.
Tuition reimbursement program.
Voluntary accident and critical illness insurance.
Volunteer day.
Employee Assistance Program (EAP).
Financial wellness tools, education, and coaching.