Senior Product Owner, Clinical Claims & Grouper Solutions

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit for more information about Fractal Role Overview Role Overview Fractal is seeking a Senior Product Owner for Clinical Claims & Grouper Solutions. This is for a clinical claims data product to support healthcare payer clients in modernizing clinical claims data products, medical grouper capabilities, and claims classification workflows. This is a client-facing functional role for someone with strong experience in payer claims, healthcare coding, medical groupers, claims analytics, medical economics, payment integrity, actuarial analytics, or healthcare data product delivery. The role will partner with business, clinical, actuarial, claims, analytics, data engineering, and AI/ML teams to define requirements, validate outputs, assess downstream impacts, and support adoption readiness for modernized clinical claims data products. The candidate must understand how claims data and clinical coding translate into grouped outputs that drive payer workflows and analytics. This includes how claims classification supports cost and utilization analysis, medical economics, actuarial reporting, operational workflows, clinical programs, and broader business decision-making. This person is not expected to be a hands-on data scientist or engineer but must be able to partner effectively with technical teams and bring strong payer claims / medical grouper domain judgment. What You’ll Do Discovery, Current-State Assessment, and Workflow Mapping Lead discovery workshops with payer business, clinical, coding, actuarial, claims operations, compliance, analytics, data science, and technology stakeholders. Document current-state claims classification and grouper usage, including business workflows, data inputs, outputs, pain points, downstream dependencies, and analytics use cases. Map how claims classification outputs are used across medical economics, actuarial reporting, cost-of-care analysis, utilization benchmarking, provider analytics, payment integrity, claims operations, care management, clinical policy, finance, quality, value-based care, and executive reporting. Identify major reports, dashboards, models, workflows, and business decisions that depend on grouper, service category, or claims classification outputs. Requirements Specification and Clinical Claims Data Product Architecture Translate payer claims, coding, clinical policy, operational, actuarial, medical economics, and analytics needs into BRDs, user stories, process maps, decision logic, business rules, acceptance criteria, and validation documentation. Define requirements for clinical claims data products across claim types such as inpatient, outpatient, professional, ancillary, and pharmacy/Rx. Support design and validation of service category frameworks used for cost, utilization, benchmarking, reporting, and downstream analytics. Partner with technical teams to define data inputs, outputs, source-to-target mappings, validation rules, interfaces, and data quality expectations. Ensure claims classification and service category outputs are traceable, testable, explainable, auditable, versioned, and aligned to business outcomes. Baseline Comparison, Validation, and Migration Readiness Support baseline-to-target output comparison, parallel validation, variance analysis, business impact assessment, and migration readiness planning. Help define what "ready for adoption" means for each business use case, including accuracy, explainability, financial impact, operational impact, reporting continuity, trend stability, and stakeholder sign-off. Evaluate impact on downstream analytics such as cost-of-care reporting, utilization benchmarks, actuarial trend, PMPM reporting, provider analytics, value-based care performance, clinical program analytics, and executive dashboards. Support UAT planning, gold-standard test case definition, regression testing, dual-run reporting, stakeholder communications, and production transition planning. AI/ML Collaboration and Product Modernization Partner with AI architects, data scientists, and engineers to identify where deterministic rules, configurable business logic, and AI/ML-enabled capabilities can each add value. Help distinguish which claims classification logic must remain rules-based and auditable versus where machine learning, model-assisted, or GenAI-enabled capabilities may improve usability, validation, anomaly detection, policy interpretation, variance triage, test generation, or insight generation. Ensure AI/ML opportunities are grounded in payer workflows and do not compromise explainability, compliance, governance, or business trust. Stakeholder Alignment and Governance Facilitate alignment across business, clinical, actuarial, claims, compliance, analytics, data science, and technology stakeholders. Help establish governance for code sets, service categories, clinical logic, business rules, versioning, output definitions, benchmarks, and downstream data product usage. Support adoption readiness, stakeholder communications, and production transition planning in partnership with client business owners. Help clients move toward transparent, governed, explainable, and analytically useful clinical claims data products. What You’ll Bring Preferred Experience Experience working for or with a Medicaid, Medicare Advantage, commercial payer, Blue plan, employer group analytics, or payer technology organization. Experience with medical economics, actuarial trend, total cost of care, utilization benchmarking, risk adjustment, provider performance, value-based care, utilization management, or clinical program analytics. Experience evaluating or migrating legacy grouper outputs, claims engines, payment integrity platforms, analytics data marts, service category frameworks, or other payer claims data products. Familiarity with AI/ML or GenAI use cases in payer claims, payment integrity, utilization management, medical policy, test generation, semantic search, anomaly detection, cost driver identification, or explainable analytics. Experience supporting dual-run reporting, bridge tables, crosswalks, impact analysis, stakeholder adoption, cutover, or production stabilization. Experience with Jira, Confluence, Azure DevOps, SQL, data dictionaries, claims data warehouses, Databricks, Power BI, Facets, QNXT, Edifecs, or healthcare analytics platforms. Healthcare coding, clinical, actuarial, or health information credentials such as CPC, CCS, RHIA, RHIT, CIC, COC, CPMA, CRC, RN, MPH, MHA, ASA, or FSA are a plus. You May Be a Fit If You Come From: A healthcare payer medical economics, payment integrity, claims analytics, actuarial, clinical policy, provider analytics, value-based care, or data product team. A healthcare technology, claims editing, grouper, risk adjustment, benchmarking, analytics, or payment integrity vendor. A healthcare consulting, actuarial consulting, clinical/UM consulting, or AI/data science consulting firm serving payer clients. A role where you helped evaluate, modernize, validate, or migrate claims classification logic, grouper outputs, service category frameworks, payer analytics, or clinical claims data products. What Success Looks Like Build trust with payer business, clinical, coding, actuarial, claims, analytics, compliance, and technology stakeholders. Explain how claims classification, service categories, and grouper outputs affect payer workflows, analytics, reporting, financial analysis, and operational decisions. Connect grouper outputs to broader business outcomes such as total cost of care, utilization benchmarking, actuarial trend, provider performance, value-based care, risk adjustment, and cost driver analysis. Convert complex clinical, coding, actuarial, claims, and workflow logic into clear business and technical requirements. Define a practical framework for evaluating baseline versus target grouper or claims classification outputs. Identify major downstream reports, models, dashboards, workflows, and decisions that depend on claims classification or service category data. Explain output variances in business, coding, clinical, actuarial, financial, and technical terms. Help clients move toward modern, transparent, governed, and analytically useful clinical claims data products. Pay The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $170,000 - $200,000. In addition, for the current performance period, you may be eligible for a discretionary bonus. Benefits As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! At Fractal, towards our goal of "powering every human decision in the enterprise", our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting-edge solutions to problems in the business world. We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end-to-end data-to-decision journey. #J-18808-Ljbffr Fractal Analytics Inc