{"id":1150995,"url":"https://alion.io/job/msig-usa-data-product-owner","title":"Data Product Owner","company":{"id":2059232,"name":"MSIG USA","domain":"msigusa.com","url":"https://alion.io/company/msigusa","size_band":"51-200","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":210000,"currency":"USD","period":"year","gross":null,"usd_annual":210000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"Google AI Studio","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"OpenAI","optional":false},{"name":"Power BI","optional":false}],"status":"live","first_seen_at":"2026-05-12T00:00:00Z","employer_posted_date":"2026-05-12","last_verified_at":"2026-09-24T09:15:23Z","board_verified":true,"closed_at":null,"days_open":135,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":135},"description":"MSIG USA continues to grow!\nCompany Overview:\nMSIG USA is the US-based subsidiary of MS&AD Insurance Group Holdings, Inc., one of the world’s top P&C carriers and a global Class 15 insurer, with A+ ratings and a reach that spans 40+ countries and regions. Leveraging our 350-year heritage, MSIG USA brings the financial strength, expertise, and global footprint to offer commercial insurance solutions that address your business’s unique risks.\nData Product Owner - Product, Underwriting & Actuary\nRole Summary\nThis role leads the data strategy, roadmap, and execution across Product, Underwriting, and Actuarial domains. You will define how data is captured, governed, modeled, and delivered across the insurance value chain so business leaders can make faster, more accurate, and more confident risk and pricing decisions.\nYou will own the development of trusted data products spanning policy structure, rate filings, exposure, pricing, loss costs, risk selection, reserving, IBNR, schedule P, and actuarial indications. These data products will support operational efficiency, pricing adequacy, regulatory compliance, portfolio steering, reserve development monitoring, risk segmentation, and product profitability analysis.\nYou will work closely with Product, Underwriting, Actuarial, Claims, Finance, Reinsurance, IT, and Data Engineering to ensure consistent, high-quality data from submission and quote through policy issuance, renewal, and ultimate loss development.\nResponsibilities\nData Strategy & Governance\nDefine and own the end-to-end data strategy across Product, Underwriting, and Actuarial domains.\nEstablish data standards, ownership, quality controls, lineage, and governance for internal and third-party datasets including ISO, NCCI, bureau data, and vendor risk scores.\nMaintain a unified data dictionary and harmonized definitions across product, underwriting, actuarial, claims, and finance teams.\nEnsure data workflows meet audit, regulatory, rate filing, and compliance requirements including state DOI and NAIC obligations.\nPartner with Legal and Compliance to support rate filing readiness, regulatory reporting, and actuarial certification requirements.\nData Engineering Partnership & Oversight\nPartner with data engineering to design and improve pipelines feeding policy administration systems, rating engines, actuarial reserving models, analytics, and AI use cases.\nValidate data models and transformations in Azure Data Platform, Microsoft Fabric, and Databricks.\nDefine and enforce data quality rules for common issues such as missing exposure fields, submission-to-bind data gaps, rating factor inconsistencies, endorsement mismatches, and development triangle discrepancies.\nSet expectations for data availability, reliability SLAs, and lineage tracking across policy and actuarial data products.\nReporting, Dashboards & Analytics Enablement\nOwn the roadmap for dashboards, KPIs, and reporting across underwriting performance, product profitability, and actuarial reserve monitoring.\nEnable self-service analytics through Power BI and Fabric semantic models, reducing reliance on manual spreadsheet-based actuarial and underwriting reporting.\nStandardize metrics used by Product, Underwriting, Actuarial, Claims, Finance, and Reinsurance teams - including written premium, earned premium, loss ratio, combined ratio, hit ratio, renewal retention, and rate adequacy.\nSupport operational decisions including risk selection, pricing adjustments, portfolio rebalancing, treaty structuring, and reserve releases.\nAI, Machine Learning & Advanced Analytics Use Cases\nIdentify and prioritize AI and advanced analytics use cases, including:Predictive risk scoring and underwriting triage models\nPrice elasticity and appetite modeling\nAutomated extraction from submissions, SOVs, loss runs, and policy documents\nReserve development and IBNR estimation using machine learning\nExposure accumulation and catastrophe risk analytics\nLoss cost trend analysis and actuarial indication automation\nGenerative AI summaries for underwriting files, actuarial memos, and product performance narratives\n\nPartner with Data Science and Azure AI Studio teams to ensure models are explainable, validated, and embedded into underwriting and actuarial workflows.\nBacklog Management, User Stories & Cross-Functional Collaboration\nOwn and prioritize the data product backlog across Product, Underwriting, and Actuarial domains.\nTranslate business needs into clear user stories with acceptance criteria tied to measurable value - such as improved rate adequacy, faster actuarial close, or increased straight-through processing rates.\nLead Agile ceremonies, roadmap reviews, and stakeholder demos.\nFacilitate alignment across Product, Underwriting, Actuarial, Claims, Finance, Reinsurance, and IT.\nBusiness Impact & Operational Improvement\nImprove underwriting outcomes and risk selection through better submission data, risk scoring, and appetite visibility.\nAccelerate actuarial close cycles and reduce manual data preparation in reserving and pricing workflows.\nStrengthen product decisions with clear visibility into loss costs, rate adequacy, exposure trends, and competitive positioning.\nEnhance feedback loops from claims and finance to underwriting and product teams with actionable loss and portfolio insights.\nImprove regulatory and rate filing readiness through strong governance, data documentation, and actuarial data auditability.\nRequired Skills and Experience\n5+ years of experience in data product ownership, analytics, or domain-focused data roles; P&C insurance experience strongly preferred.\nStrong understanding of underwriting operations, actuarial concepts (IBNR, loss development, Schedule P, loss costs), and insurance product management.\nProven experience partnering with data engineering teams on pipelines, data models, and quality frameworks.\nAbility to translate complex insurance and actuarial concepts into clear technical requirements.\nStrong facilitation, communication, and stakeholder alignment skills.Hands-on experience with the Azure analytics ecosystem:Azure Data Platform\nMicrosoft Fabric\nAzure Data Factory\nDatabricks\nAzure AI Studio / Azure OpenAI\nPower BI\n\nPreferred Qualifications\nExperience working directly in Underwriting, Product Management, or Actuarial teams within a P&C insurer.\nFamiliarity with policy administration and rating systems (Guidewire PolicyCenter, Duck Creek, Applied Epic, or similar).\nExperience with submission and exposure data, SOVs, loss runs, and structured/unstructured underwriting documents.\nKnowledge of actuarial methods including chain ladder, Bornhuetter-Ferguson, and Cape Cod techniques.\nFamiliarity with state DOI regulatory requirements, rate/form filing processes, and NAIC reporting standards.\nAzure, Power BI, or data platform certifications.\n\nSALARY: The estimated salary range for this position is $140,000.00 - $210,000.00 per year. This is a good-faith assessment of the salary range for this position only. In determining the actual salary within this range, MSIG USA will consider a candidate’s relevant experience, location, and other job-related factors.Additional Benefits:\nHealthcare and Retirement Benefits\nComprehensive medical, dental, and vision coverage\n401(k) with a generous employer match and profit-sharing contribution\nWellness incentive program\nLife and accidental death and dismemberment (AD&D) insurance\nFlexible spending programs\nShort-term and long-term disability plans\nAdditional Benefit Programs\nPaid time off program\nPaid charitable leave\nPaid parental leave\nTuition reimbursement program\nPersonal insurance (auto/homeowners) discounts\n#LI-REMOTE, #LI-HYBRID, #LI-ONSITE\n\nIt's an exciting time for our company and a great opportunity to join a financially sound and growing global insurance group!\nIt is the policy of MSIG USA to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, MSIG USA will provide reasonable accommodations for qualified individuals with disabilities.","description_format":"text","description_chars":8360,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services"],"lifecycle":[{"event":"open","at":"2026-09-23T17:40:15Z"}],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.332,"p_room":0.28,"age_days":135,"expected_fill_days":42,"reasons":["conf:2","urgency","win:tail","crowd:"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":210000,"is_top_pay":true},"html_url":"https://alion.io/job/msig-usa-data-product-owner","json_url":"https://alion.io/job/msig-usa-data-product-owner.json","meta":{"generated_at":"2026-09-24T11:01:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}