Actuarial Engineering Manager​/Senior Manager

Location: New York

This job is with Marsh McLennan, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

P&C Actuarial Engineering Manager/Senior Manager
Remote type:
Hybrid/Remote
Locations:
Flexible, but preferably in UK open to US/Canada (New York, Chicago, Montreal)
Time type:
Full time
Company Overview:
The Actuarial Consulting Practice of Oliver Wyman advises clients across a broad spectrum of risk management issues. We are a rapidly growing practice with offices across the globe. Our actuaries hold the highest professional qualifications and are recognized as experts in their field(s). We use mathematical and statistical modeling skills and our qualitative assessment methodologies to assist clients in evaluating and addressing risk.

Our solutions help clients manage and prepare for the potential financial consequences of uncertain future events. We bring a combination of broad-based expertise with specialized knowledge of specific risks, allowing us to provide independent, objective advice in the three primary areas of risk: healthcare, life and annuity, and property and casualty.
The Property and Casualty Consulting Practice assists insurance companies, self-insured corporations, government entities, and other organizations with all aspects of managing property and casualty insurance exposures. We guide P&C clients on their qualitative assessment and quantification of risk and loss exposures, and offer advice on a range of issues, from external business strategy and internal risk management to economic capital modeling and new product development.
Summary
Oliver Wyman's US P&C Actuarial Consulting Practice is hiring an  Engineering Lead - Actuarial Systems (Data and Technology)  to set technical direction, lead engineering teams on client projects, and deliver production‑grade actuarial and financial solutions across cloud, data, and application layers. The Engineering Lead will drive architecture and execution for transformation programs, liaise with product and business stakeholders, and leverage modern tooling - including AI‑assisted development - to improve speed, quality, and operational resilience.

The role is client‑facing and delivery‑focused, suited to a proven leader who combines program and technical delivery experience.
Responsibilities
Lead engineering teams, set technical direction, assign work and ensure on‑time, high‑quality delivery of platform features and client solutions.
Design and own end‑to‑end solutions across cloud, data, and application layers: for example, but not limited to, data ingestion, data stores, analytics/forecasting pipelines, APIs and dashboards.
Translate product and actuarial/financial requirements into architectural designs, development roadmaps, testing strategies, and deployment plans; act as the technical engineering lead during delivery.
Oversee implementations and ensure solutions meet performance, security, and compliance expectations.
Apply and champion modern tooling and practices (CI/CD, automated testing, version control) and AI‑assisted development to accelerate development while maintaining code quality and governance.
Drive stakeholder engagement: present technical designs and progress to senior stakeholders, coordinate with client teams, and translate technical tradeoffs into business decisions.
Establish and improve delivery best practices, data quality controls, and technical documentation to support repeatable, scalable deployments.
Qualifications
Proven leadership experience managing delivery teams and large IT/finance transformation projects (managing 9-20 resources or equivalent program responsibility).
Strong technical experience in designing enterprise architectures and delivering end-to-end cloud, data, and application solutions, with proven experience implementing data and analytics platforms. Hands-on experience designing and implementing cloud-native architectures and full‑stack solutions, with strong capability across frontend frameworks (e.g., Angular, React), backend platforms and languages (e.g., Python, .NET, Java, Node.js), APIs/microservices,…