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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management and business analysis, with a strong focus on defining user stories, acceptance criteria, and data requirements for analytics platforms. Proficient in collaborating with cross-functional teams to deliver AI-driven insights and ensure compliance with regulatory standards.
Highest-signal resume keywords
Product ManagementBusiness AnalysisData AnalyticsAgile DeliveryUser Acceptance Testing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Requirements DefinitionUser Story DevelopmentData ModelsKPI DefinitionBusiness IntelligenceAI/ML CapabilitiesPerformance Metrics TrackingBacklog ManagementData GovernanceRegulatory Compliance
Soft Skills
Analytical SkillsProblem-SolvingOrganizational SkillsCommunication SkillsCross-Functional Collaboration
Industry Keywords
HealthcareInsuranceClaimsRegulated EnvironmentsData-Driven Initiatives
About the role
Key responsibilities & impact- Partner with Product Managers on backlog refinement and prioritization for the analytics platform
- Define development-ready stories and requirements, including user stories, acceptance criteria, data requirements, metric definitions, and non-functional requirements
- Execute delegated Product Manager responsibilities when needed
- Collaborate with engineering, data engineering, and analytics teams to align stories with business outcomes
- Support User Acceptance Testing and verify data outputs, reports, and AI-generated insights
- Track and report delivery progress, platform adoption, user engagement, risks, dependencies, and performance insights
- Translate AI/ML and generative AI capabilities into backlog items with appropriate acceptance criteria
- Gather user feedback and turn insights into product improvements
- Partner with data governance, privacy, and security teams on access controls, regulatory requirements, and responsible AI standards
- Raise risks, capacity concerns, and reallocation recommendations
- Support sprint ceremonies, product demos, walkthroughs, and stakeholder communications
- Serve as a subject matter resource for platform workflows, data sources, and capabilities
- Monitor deployed AI features for performance, accuracy, drift, and user feedback
- Bring forward ideas based on emerging AI, generative AI, and modern analytics trends
- Perform other duties as assigned
Requirements
What you’ll need- Bachelor's degree in Business Administration, Information Systems, Data Analytics, or a related field from an accredited college or university preferred
- Equivalent combination of education, professional certifications, and relevant work experience will be considered
- Five (5) years of related experience or an equivalent combination of education and experience required
- Experience performing business analysis, requirements definition, or supporting product delivery required
- Experience delivering product capabilities for data analytics, business intelligence (BI), or other enterprise software platforms required
- Experience supporting AI, machine learning, generative AI, or data-driven product initiatives preferred
- Experience in claims, insurance, healthcare, or other regulated operational environments preferred
- Experience working within agile or hybrid delivery teams preferred
- Strong product and requirements documentation skills
- Ability to translate business needs into detailed user stories and acceptance criteria
- Working knowledge of data analytics concepts such as data models, KPIs and metric definitions, dashboards, and self-service analytics
- Understanding of how AI-powered features are evaluated, including accuracy, reliability, and explainability of outputs
- Familiarity with agile delivery practices and backlog management
- Ability to assess scope, dependencies, and delivery complexity
- Strong analytical, problem-solving, and organizational skills
- Experience tracking delivery metrics and supporting OKR reporting
- Ability to understand and communicate budget impacts and delivery trade-offs
- Excellent verbal and written communication skills, including the ability to explain technical and AI concepts to non-technical audiences
- Strong cross-functional collaboration and stakeholder management skills
- Genuine curiosity and enthusiasm for using AI to change how people work with data
- Ability to meet or exceed performance competencies
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- 401k and matching
- PTO
- Disability insurance
- Life insurance
- Employee assistance
- Flexible spending account or health savings account
- Other additional voluntary benefits
- Reasonable accommodations when applicable and appropriate
- Work-life balance
- Career growth opportunities