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.

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, containerization/orchestration and CI/CD pipelines.
Demonstrated experience creating development schedules, testing plans, and deployment strategies for production software.
Excellent stakeholder management and communication skills; experience acting as an engineering lead and/or client liaison in Agile/Scrum environments.
Preferred Background working with insurance, banking, or financial services clients and familiarity with actuarial/financial workflows and regulatory considerations.
Practical experience with AI-assisted development or modern cloud ML platforms (accelerating development, testing or documentation).
Experience delivering multi-million-dollar software deployments, licensing initiatives, or enterprise rollouts.
Advanced degree (MBA/MS) or certifications relevant to data engineering, cloud platforms, or program management.

Actuarial Engineering Manager/Senior Manager

Key skills