AVP, Software Engineering - Enterprise Reporting and Data; Hybrid - Hartford​/Jersey​/Raleigh

Job Summary

The Assistant Vice President of Enterprise Reporting and Data leads enterprise reporting and data strategy across critical functions, including data engineering, data governance, agentic AI, business intelligence and reporting, actuarial data support, and specialized areas such as Ceded Reinsurance. This role owns end‑to‑end data and reporting platforms, ensuring scalable architecture, efficient operations, and business‑aligned delivery across agile teams and vendor partners.

The AVP drives cross‑functional collaboration, business value, compliance, and modernization across the data ecosystem, including Snowflake, Azure services, Databricks, Sigma, Python, Airflow, Collibra, Stibo, and Power BI. It also leads delivery, governance, and operational oversight across key enterprise data platform capabilities such as Data Stores, Cortex, Data Security, MDM, RDM, Data Lineage, and Data Catalog.

• Strategic Leadership & Governance: Set the vision and strategy for data initiatives across key product teams. Partner with senior business stakeholders to align data initiatives with enterprise goals and lead cross‑functional agile teams to deliver high‑quality data products and platforms.
• Data Platform Oversight: Lead the roadmap, architecture, and lifecycle management of enterprise data platforms, including Snowflake‑based data lakes, data warehouses, and Azure pipelines. Ensure reliable development, deployment, and support of ETL/ELT frameworks with tools such as Snowflake, DBT, Databricks, Python, Qlik, Airflow, and ADF.
• Business Intelligence & Reporting: Lead strategy and development for Sigma, Power BI, SSRS, and dashboarding solutions. Partner with business teams to deliver actionable insights, self‑service reporting, and financial and statutory reporting support.
• Enterprise Data & Reporting Support: Provide strategic and technical leadership for teams supporting enterprise reporting and data, actuarial modeling, reserving data flows, and ceded reinsurance data provisioning. Ensure timely, accurate, and audit‑ready data for reporting platforms, actuarial processes, and reinsurance calculations.
• Program Management & Delivery: Lead multiple delivery teams across the U.S. and offshore locations, maintaining sprint velocity and roadmap execution. Ensure delivery compliance with SOX, SOC 2, and NYDFS requirements, manage vendor relationships, contract negotiations, and budget planning.
• Innovation, Modernization & Quality: Promote modern agentic AI, Dev Ops, CI/CD, Git, and orchestration practices across data engineering and reporting pipelines. Drive innovation in AI/ML, data observability, and self‑service capabilities, and ensure strong documentation, test coverage, and audit trails across data processes and platforms.

• 12+ years of experience in data platforms, data engineering, and business intelligence.
• 7+ years of leadership experience managing multidisciplinary teams across data engineering, reporting, actuarial data, or reinsurance.
• Strong experience in insurance (P&C), finance, actuarial, or risk domains is highly preferred.
• Deep knowledge of cloud technologies, especially Azure and Snowflake, with familiarity in Power BI, SSIS, and SSRS.
• Hands‑on proficiency in Python within data engineering contexts and ability to guide teams in its practical use.
• Experience with regulatory compliance and audit standards, including SOX, SOC 2, and NYDFS.
• Proven success leading large‑scale data transformation programs and cross‑functional delivery teams.
• Ability to mentor senior managers, architects, and subject‑matter experts, with strong stakeholder management and influencing skills.
• Strong proficiency in SQL, Python, or similar programming languages and orchestration tools such as Airflow.
• Excellent collaboration, communication, and problem‑solving skills; ability to break complex problems into manageable steps and derive insights from data.
• Adaptable to changing priorities and capable of documenting data sources and technical solutions effectively.

Master’s or Bachelor’s degree in computer science, data science, or a related field is required.

Arch offers a comprehensive benefits package that includes multiple medical plans, dental, vision, prescription drug coverage, a competitive 401(k) with generous matching, paid time off, company holidays, volunteer time, life and AD&D insurance, short‑ and long‑term disability, paid parental leave, student loan assistance, tuition reimbursement, backup child and elder care, and additional benefits.

Position is incentive eligible. Base salary range is $148,400 – $230,322/year for Jersey City and $133,500 – $207,289/year for Hartford. The total individual compensation package includes short‑ and long‑term incentives and may be modified in the future.