VP, Data Solutions Engineering
Listed on 2026-01-12
-
IT/Tech
Data Engineer, Data Science Manager, Data Analyst
Fortitude Reinsurance Company Ltd. (Fortitude Re) is one of the world’s leading providers of legacy reinsurance solutions. They work with leading insurance companies to execute comprehensive transformational solutions for legacy Life & Annuity and P&C lines. Fortitude Re manages a general account of approximately $111 billion across life, annuity, and property & casualty insurance products. The company has an experienced leadership team and proprietary risk‑modeling capabilities.
This role will be based in Jersey City, NJ on a hybrid basis.
Vice President, Data Solutions EngineeringThe Vice President, Data Solutions Engineering will lead a small team of digital innovators and be responsible for data delivery for operational processes, analytics use cases, and related performance KPIs. This role is frequently engaged and aligned with business partners to understand their needs and lead efforts to build data engineering solutions that address those needs. It reports to the SVP, Data Engineering.
WhatYou Will Do
- Lead a team of data engineers to oversee development of end‑to‑end data pipelines and integration flows.
- Design well‑architected data solutions in partnership with data platform engineers, data governance, data science, and data analytics/visualization peers.
- Deliver end‑to‑end data solutions to meet business process needs for high quality and well‑organized data.
- Partner with Data & Analytics leadership to drive data‑driven decision‑making and digital transformation initiatives.
- Build strong relationships with key business stakeholders.
- Operate in an agile development environment while applying Dev Ops principles.
- Ensure reliability, scalability and governance of data pipelines.
- Design and implement data processing and data approval workflows.
- Bachelor’s degree in Math, Computer Science or Engineering.
- Deep understanding of ETL/ELT, APIs, cloud, and data operations.
- Domain knowledge of actuarial, investment and finance within the insurance/reinsurance industry is a plus.
- Minimum ten years of experience in a growing data engineering role, with at least five years in programming (Python) and SQL.
- Proven track record of leading large‑scale data initiatives and teams in complex organizations.
- Robust knowledge of cloud data platforms, data governance, and modern data quality techniques.
- Team leadership, stakeholder alignment and people management.
- Excellent analytical, problem‑solving and conceptual skills.
- Strong verbal and written skills.
The base salary range for this role is $200,000 USD – $225,000 USD. In addition to base salary, all employees are eligible for an annual bonus based on company and individual performance and a generous benefits package.
At Fortitude Re, our strength comes from our people. We foster a culture of inclusion and belonging where everyone—regardless of background, race, religion, sexual orientation or gender identity—feels valued and respected.
We are committed to being an equal‑opportunity employer and evaluate qualified applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, military and veteran status, diversity of thought and any other characteristic protected by applicable law.
To all recruitment agencies:
Unless you have been requested to work on this position or other positions with Fortitude Re, please do not forward any resumes to Fortitude Re employees. Fortitude Re is not responsible for any fees related to unsolicited resumes.
By submitting your application, you agree that Fortitude Re may collect your personal data for recruiting purposes.
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).