Data Engineer

lInsurance · U.S. specialty platform buil d Locati on New York, NYSchedu le Hybr idReports to Head of Technolo gyLi ne E&S / specialty P& ;C The client and the opportun ityOur client is the U.S. specialty insurance platform of a large international insurance group, backed by the group's global capital and data capabilities. The platform is in build mode, and this is a founding leadership seat. The client is named under NDA once mutual interest is establish ed. The Head of Data Engineering owns the enterprise data strategy and the design, build, and operation of the entire data ecosystem. Every underwriting decision, pricing model, claim outcome, regulatory filing, and dollar reported to the parent group depends on this platform. The leader sets the data agenda, owns it end to end, and is accountable at the executive level, building with leverage rather than headcount across group data teams, a strategic cloud data partnership, and contracted vendor te ams. What you'l l ownStrategy and architec ture. How data is captured, modeled, governed, and distributed, plus the canonical data model for policy, claim, billing, and financial data, enforced across all vendor platforms with authority to accept or reject integrat ions.The platform, greenfield to produc tion. Kafka event ingestion, a Snowflake analytics hub, dbt transformation layers, and the semantic and reporting layers above them, with reliability, scalability, and cost owned as a production opera tion.Bordereaux automa tion. Ingestion, validation, and reconciliation across MGA programs, TPA claims feeds, and reinsurer repor ting.Financial and regulatory data. One transaction-level spine serving US GAAP, US Statutory, and IFRS 17, plus the data behind statutory filings, NAIC reporting, AM Best submissions, and state examinat ions.Governance, analytics, and AI enable ment. Ownership, stewardship, lineage, quality, and access control enforced in the architecture, including NYDFS Part 500 and state privacy obligations, and the data foundation under every analytics and AI capabi lity.Extended team and group relations hips. A leveraged delivery model across group engineering and vendor partners, and the data relationship with group finance, actuarial, and technology leadership over seas. What the client is looki ng for10+ years in data engineering, data architecture, or enterprise data platform leadership, with accountability for production platforms at scale.Deep hands-on command of Snowflake, dbt, and event streaming such as teams.Working knowledge of U.S. excess and surplus specialty products and underwriting dyn , MBA.Executive presence with senior stakeholders and board-level audi ences. What you' ll gainFounding ownership of the data strategy for a new specialty platform, with executive visi bility.Competitive compensation, executive incentive, and long-term incentive eligi bility.Hybrid working, with travel up to 25% for leadership, planning, and client engag ements.Comprehensive health, wellness, retirement, and financial wellbeing pr #J-18808-Ljbffr