Technical Program Manager (APM) - P&C Insurance (Policy and Claims lifecycle) and Reinsurance

About

Our customer is a leader in AI enabled SaaS products and solutions with focus in the life sciences domain.

Job Description

As the Technical Program Manager (APM), you will be the driving force behind the delivery of a large-scale enterprise data platform requiring a deep understanding of the P&C insurance domain and cutting-edge cloud data technologies. You will lead cross-functional teams to execute a fixed-bid data strategy project, ensuring alignment between complex technical architecture and strategic business goals.

Key Responsibilities

• End-to-End Delivery: Lead the technical execution of the enterprise data platform using Agile (Scrum) methodologies, managing the project lifecycle from inception to completion.
• Technical Oversight: Supervise the implementation of complex data pipelines, moving data from source systems through Abstract, Validation, and Data Store layers.
• Strategy & Alignment: Ensure technical execution remains strictly aligned with the broader data strategy and client business objectives.
• Stakeholder Management: Serve as the primary point of communication for senior leadership; participate in Quarterly Business Reviews (QBRs) and executive status updates.
• Governance & Quality: Enforce data architecture standards, security policies, and governance. Drive best practices for data lineage, observability, and quality.
• Program Health: Manage RAG status reporting, risks, and issues. Track key performance indicators (KPIs) including delivery velocity and quality metrics.
• Financial Management: Oversee project budgets, forecasting, and cost optimization strategies.

Required Skills & Qualifications

• Domain Expertise: 12–15+ years of experience in IT delivery and program management, with a mandatory background in P&C Insurance (Policy and Claims lifecycle) and Reinsurance.
• Technical Proficiency: Proven success delivering Snowflake or similar cloud data platforms, Data Lakes, and Data Warehouses.
• Data Frameworks: Strong understanding of ETL/ELT ingestion frameworks and data modeling.
• Certifications: Cloud certifications (specifically Azure) and data-related certifications (specifically Snowflake) are highly preferred.
• Emerging Tech: Exposure to GenAI use cases within the insurance industry.
• Soft Skills: Exceptional leadership, risk management, and the ability to manage interdependencies across multiple technical workstreams.

Education

• Bachelor’s or Master’s in Information technology, Computer Science or related field.