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

Position: AVP, Software Engineering - Enterprise Reporting and Data (Hybrid - Hartford/Jersey City/Raleigh)
With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.

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 also 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.

In addition, the role is responsible for leading delivery, governance, and operational oversight across key enterprise data platform capabilities, including Data Stores, Cortex, Data Security, MDM, RDM, Data Lineage, and Data Catalog. The AVP will provide leadership across Agile execution and solution architecture while ensuring strong platform design governance, scalability, and standardization. A core expectation is maintaining close proximity to delivery, actively guiding engineering teams and course-correcting execution when needed.

The role partners directly with SVP-level stakeholders to drive requirement alignment, negotiation, and business outcomes rather than operating as an order-taker. It also plays a key role in advancing AI-enabled reporting and modernization efforts across the AINA data ecosystem while ensuring operational stability and compliance.

Responsibilities

Strategic Leadership & Governance

* Set the vision and strategy for data initiatives across key product teams, including Enterprise Reporting, Ceded Reinsurance, and Actuarial IT.

* Partner with senior business stakeholders to align data initiatives with enterprise goals.

* Lead cross-functional agile teams to deliver high-quality data products and platforms that create business value.

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 using 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 and reporting.

Program Management & Delivery

* Lead multiple delivery teams across the U.S. and offshore locations, maintaining sprint velocity and roadmap execution.

* Ensure delivery complies 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 to improve business outcomes.

* Ensure strong documentation, test coverage, and audit trails across data processes and platforms.

Skills & Experience

* 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…