Vice President, Data Solutions Engineering

Fortitude Re • Jersey City, NJ

8h • Hybrid

About The Position

The 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 (uptime, latency, throughput). This role is frequently engaged and aligned with our business partners to understand their needs and lead efforts to build data engineering solutions to address these needs. This role reports to the SVP, Data Engineering. This role will be based in our Jersey City, NJ office on a hybrid basis.

Requirements

• Bachelor's degree in Math, Computer Science or Engineering.
• Deep understanding of ETL/ELT, APIs, Cloud, data operations.
• Minimum experience of ten years 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.

Nice To Haves

• Domain knowledge of Actuarial, Investment and Finance within Insurance/Reinsurance industry is a plus.

Responsibilities

• 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 DevOps principles.
• Ensure reliability, scalability and governance of data pipelines.
• Design and implement data processing and data approval workflows.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager