{"id":1150987,"url":"https://alion.io/job/msig-usa-director-of-insurance-analytics","title":"Director of Insurance Analytics","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":null},"role":"Analytics","role_family":"Analytics","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States","Cincinnati, United States","Chicago, United States","New York, United States","Dallas, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":225000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"CI/CD","optional":true},{"name":"Power BI","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Tableau","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-08-19T00:00:00Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-09-23T22:19:42Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"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.\nSummary/Job Purpose:\nPart of the MS&AD group, a top-10 global P&C insurance carrier, MSIG USA is on a mission to become a data-driven leader in specialty insurance, focused on ambitious and profitable growth. Our Insurance Analytics function is at the heart of this transformation - delivering analytics and data science solutions that drive impact across Underwriting, Pricing, Claims, Actuarial and beyond.\nWe are seeking a hands-on analytics Manager/Director to lead a portfolio of high-impact initiatives, drive cross-functional delivery, and personally develop analytical solutions. This role is ideal for a builder-leader who thrives on both technical execution and stakeholder engagement.\nYou will lead the full analytics lifecycle end-to-end: problem framing and hypothesis definition, experimentation and modeling, and operationalization into repeatable decision support with monitoring and sustained adoption. Success is measured by measurable business outcomes, not slideware.\n(Hybrid - 4 days in office; remote considered in exceptional circumstances)\nEssential Functions\nLead a portfolio of analytics & data science initiatives\nOwn a portfolio of initiatives end-to-end: problem framing, prioritization, delivery planning, stakeholder alignment, and measurable business outcomes.\nTranslate ambiguous business questions into clear problem statements, hypotheses, and structured analytical approaches that influence decisions and operations.\nDefine success metrics and measurement plans (including benefit estimation) and track adoption and impact over time.\nDrive cross-functional delivery across Underwriting, Pricing, Claims and Actuarial; ensure solutions are practical, adopted, and aligned to business priorities.\nPartner closely with business leaders to align work to decision needs, manage tradeoffs transparently, and maximize impacts\nContribute directly by writing and reviewing code (Python & SQL), building analytical prototypes, reusable analytics assets, and decision-support tools, and unblocking technical decisions.\nApply statistical and machine learning techniques (e.g., regression, classification, clustering, time series) to solve business problems and support decision-making.\nDevelop and deploy solutions in a cloud-based analytics environment, partnering with platform and engineering teams to operationalize outputs into business workflows and drive sustained adoption.\nDesign and execute experiments and tests (as appropriate to the use case) to evaluate interventions, quantify impact, and support decision-making.\nDefine and reinforce production-minded practices and standards for analytical quality appropriate to the use case: validation, testing/controls, documentation, reproducible code, and operational transition plans for ongoing use.\nEstablish monitoring expectations appropriate to the solution (e.g., usage, data quality, and model performance) and drive continuous improvement based on signals.\nDeliver decision support for Underwriting and Pricing/Actuarial\nLead and contribute to solutions that improve underwriting and pricing decisions (e.g., portfolio diagnostics, segmentation and feature development, workflow decision support), partnering closely with business leaders to drive adoption and measurable impact.\nSupport implementation into decisions and processes by educating stakeholders on model/analysis intent, limitations, and appropriate use, and by providing practical documentation and tooling.\nCommunicate findings clearly to both technical and non-technical audiences, and translate insights into concrete actions, process changes, or product improvements.\nPartner with Claims leadership to identify and deliver high-value analytics and decision support opportunities that improve operational effectiveness and outcomes.\nSupport the data enablement needed for claims analytics in partnership with data and technology teams; translate claims workflows into analytics-ready measures and repeatable decision support and reporting.\nWhere applicable, help operationalize and monitor analytical solutions used in claims decisioning and workflows.\nServe as a trusted thought partner to senior stakeholders; communicate clearly, facilitate working sessions, and manage tradeoffs transparently.\nProduce executive-ready narratives that connect analytical evidence to decisions, risks, and tradeoffs.\nMentor data scientists/analysts on problem structuring, technical approach, and effective communication.\nOver time, help build the team through hiring, onboarding, and talent development as scope expands; responsibilities may evolve into formal people leadership.\nCollaborate with technology and data platform teams to enable responsible deployment and operation of analytics solutions (access, security, maintainability, and monitoring expectations appropriate to the solution), without owning enterprise platforms.\nHelp define reusable patterns for analytics delivery (templates, review checklists, documentation standards) that reduce friction and improve time-to-value.\nSupervisory Responsibilities:\nThis position is a hands-on program/initiative lead and may include people leadership. Scope and people-management responsibilities will vary by final level (Manager vs Director) and organizational needs.\nQualifications:\nTo perform this job successfully, an individual must be able to perform each essential duty. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\nRequired Qualifications\nBachelor’s degree in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field or equivalent practical experience.\n7+ years of experience in analytics or data science, with a track record of delivering measurable business impact.\n2+ years leading analytics initiatives and/or mentoring technical team members in a senior/lead capacity.\nProficiency in Python and SQL; ability to write production-quality analytical code and review others’ work.\nStrong communication skills with ability to influence senior stakeholders; translate technical work into clear decisions, actions, and tradeoffs\nPreferred Qualifications\nBachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field (or equivalent practical experience).Property & Casualty insurance experience (commercial lines preferred) or demonstrated ability to ramp quickly in complex domains.\nExperience productionizing analytics/model outputs in partnership with engineering teams (e.g., APIs/services, CI/CD, containerization).\nExperience with cloud-based analytics environments and modern ML frameworks (e.g., scikit-learn, XGBoost).\nExperience with experimentation, causal inference, or rigorous measurement approaches in business settings.\nExperience establishing monitoring practices appropriate to the solution (e.g., model performance, data quality, usage/adoption).\nFamiliarity with BI tools (Power BI, Tableau) and data visualization best practices.\nTrack record of mentoring, coaching, and/or managing technical teams.\n\nSalary: The base pay range is $225,000.00 - $250,000.00 . Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location.\nAdditional 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\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":9001,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"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":53,"band":"ok","label":"Likely open","p_open":1,"p_active":0.701,"p_room":0.75,"age_days":35,"expected_fill_days":41,"reasons":["conf:0","win:late"],"computed_at":"2026-09-23T22:34:18Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/msig-usa-director-of-insurance-analytics","json_url":"https://alion.io/job/msig-usa-director-of-insurance-analytics.json","meta":{"generated_at":"2026-09-23T22:34:18Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}