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Technical Program Manager (APM)

Ahura Workforce Solutions

Jersey City · Hybrid Contract Lead 1mo ago

About the role

About

As the Technical Program Manager (APM), you will be the driving force behind the delivery of a large-scale enterprise data platform. We are 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.

Skills

AzureData LakesData WarehousesETLGenAISnowflake

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