Technical Program Manager (APM)

Title Technical Program Manager (APM)

Duration:

Contract to

Hire Location:

Jersey City, NJ - Hybrid Job Description As the Technical Program Manager (APM), you will be the driving force behind the delivery of a large-scale enterprise data platform. This is a critical role within the Astraa Customer Success team, 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.