Data Engineer

Head of Data Engineering

• Data & technology searc
• hClient confidentia
• lInsurance · U.S. specialty platform buil

• d
• Location New York,
• NYSchedule Hybr
• idReports to Head of Technolo
• gyLine 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 architecture. 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 production. 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 automation. 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 enablement. 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 relationships. 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
• Kafka.Enterprise builds taken greenfield to production, directing vendor delivery
• teams.Working knowledge of U.S. excess and surplus specialty products and underwriting dyn
• amics.Bachelor's in a quantitative discipline. Preferred: P&C data structures, multi-framework reporting, cloud data certifications
• , 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

ograms.