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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI Product Management, focusing on maximizing product value, adoption, and health through strategic planning and cross-functional collaboration. Proficient in Agile practices, product lifecycle management, and defining key performance indicators to drive continuous improvement.
Highest-signal resume keywords
Product OwnershipAgile Product ManagementAI/ML Product ConceptsKPI Definition and UsageStakeholder Engagement
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product Lifecycle ManagementBacklog ManagementTechnical AcumenModel Performance MonitoringData DependenciesRisk ManagementContinuous ImprovementPrioritizationWork DecompositionDigital Product Operations
Soft Skills
Strong Verbal CommunicationPresentation SkillsProblem-SolvingInterpersonal SkillsLeadership Through Influence
Tools & Technologies
Data ScienceAI/MLDevOps/MLOpsEngineering CollaborationProduct Success Backlog
Industry Keywords
Insurance Industry ExperienceGovernanceComplianceRegulated EnvironmentsBusiness Operations
About the role
Key responsibilities & impact- Maximize the ongoing value, adoption, and health of AI products in production
- Translate production insights, user feedback, performance trends, and business needs into a prioritized roadmap and backlog
- Orchestrate the post-launch AI product lifecycle from production transition through continuous improvement
- Drive prioritization across enhancements, model improvements, production issues, technical debt, adoption opportunities, and changing business needs
- Align product line strategy with distribution strategies, market needs, growth opportunities, profitability, and risk thresholds
- Formulate and oversee product and marketing strategies for new and existing products
- Drive strategic planning and influence cross-functional execution
- Establish product success measures and KPIs and track benefit realization
- Partner with Finance and business stakeholders on product value and investment decisions
- Monitor product health across business value, adoption, operations, model performance, technology, and risk
- Partner with Data Science and AI teams on model performance, degradation, drift, and improvements
- Build and maintain a transparent, prioritized AI Product Success backlog
- Translate needs, incidents, feedback, and opportunities into backlog items and acceptance criteria
- Balance enhancements, model improvements, break-fix work, technical debt, regulatory needs, and platform changes
- Coordinate transition-to-production readiness, knowledge transfer, go-live, and hypercare
- Coordinate Business Operations, Engineering, Data Science, Finance, Risk, and other partners
- Lead recurring product health and backlog reviews
- Communicate product health, priorities, decisions, dependencies, risks, and value realization to stakeholders and leadership
Requirements
What you’ll need- Bachelor’s degree preferred, or equivalent combination of education and relevant experience
- Demonstrated experience in Product Ownership, Product Management, technology delivery, or digital product operations
- Insurance Industry experience preferred
- Strong understanding of the complete product lifecycle
- Understanding of Agile product management practices, backlog management, prioritization, work decomposition, planning, and iterative delivery
- Strong technical acumen collaborating with Engineering, Architecture, Data Science, AI/ML, Data Engineering, DevOps/MLOps, and Operations
- Working knowledge of AI/ML product concepts including model performance, monitoring, drift, data dependencies, explainability, and production monitoring
- Experience defining and using product, business, adoption, operational, and technical KPIs
- Strong verbal, written, and presentation skills
- Ability to lead through influence and mobilize cross-functional teams without direct authority
- Strong problem-solving and prioritization skills in ambiguous situations
- Strong interpersonal skills engaging stakeholders, end users, technology teams, and senior leaders
- High ownership and accountability
- Ability to champion change and increase adoption of AI-enabled capabilities
- Experience within governance, risk, compliance, or regulated environments is beneficial
- Commitment to continuous improvement
- Some travel may be required
Benefits
Comp & perks- Award-winning culture
- Inclusion and diversity as a priority
- Performance Based Incentive Plans
- Competitive benefits package including Health, Vision, Dental, Short & Long-Term Disability
- Generous PTO (including paid time to volunteer!)
- Up to 9.5% 401(k) employer contribution
- Mental health support
- Career advancement opportunities
- Student loan repayment options
- Tuition reimbursement
- Flexible work environments
- Paid time off
- 401(k) retirement plan with employer match up to 5% and an additional 4.5% contribution whether you contribute or not