Chief Data Officer - Corporate IT

Gen Re Corporation•Stamford, CT

3d•Remote

About The Position

General Re Corporation, a subsidiary of Berkshire Hathaway Inc., is a holding company for global reinsurance and related operations, with more than 2,000 employees worldwide. It owns General Reinsurance Corporation and General Reinsurance AG, which conducts business as Gen Re. Gen Re delivers reinsurance solutions to the Life/Health and Property/Casualty insurance industries. Represented in all major reinsurance markets through a network of 38 offices, we have earned superior financial strength ratings from each of the major rating agencies. Gen Re currently offers an excellent opportunity for a Chief Data Officer in the Global Information Technology unit to work remotely based out of our Stamford, CT office. The Chief Data Officer ("CDO") leads the Enterprise Data Services team within Corporate IT, accountable for the governance, quality, engineering, and stewardship of General Reinsurance’s core data assets. This role ensures that data is trusted, secure, well‑managed, and delivered through modern, scalable platforms that enable business units to perform analytics, reporting, and decision‑making. The CDO partners closely with business‑unit reporting teams, to ensure alignment on data standards, platform capabilities, and operating model boundaries. The CDO is the enterprise authority on data governance, data engineering, metadata, lineage, and platform strategy. This is a senior leadership role requiring deep technical fluency, strong governance instincts, and the ability to influence a federated global organization.

Requirements

10+ years in data leadership roles within financial services, insurance, or reinsurance
Deep expertise in data governance frameworks (DAMA, DCAM, etc.)
Deep expertise in Cloud data platforms (Azure preferred)
Deep expertise in Databricks, Spark, Delta Lake, Fabric
Deep expertise in Data lakes, lakehouses, and modern ETL/ELT patterns
Deep expertise in Metadata, lineage, cataloging, and data quality tooling
Experience operating in federated data/analytics models.
Proven ability to lead enterprise‑wide data governance and engineering functions
Strong executive presence and ability to influence across business and IT
Experience building and maturing global data organizations
Ability to translate complex technical concepts into business‑aligned strategies
Demonstrated success partnering with business reporting/analytics teams
Experience defining RACIs, operating models, and shared accountability frameworks
Strong understanding of regulatory and risk management requirements in insurance

Responsibilities

Serve as the strategic partner to business reporting and analytics teams
Engage with the business on strategy setting and enablement
Collaborate with business leaders to prioritize data initiatives and ensure alignment with enterprise strategy
Define clear boundaries between IT and business responsibilities
Ensure business teams have the right data, tools, and training to succeed
Own and operate the enterprise data governance framework, including policies, standards, controls, and stewardship models
Establish and enforce data quality rules, data lifecycle management, retention, and classification
Lead metadata management, lineage, cataloging, and data access governance
Ensure compliance with regulatory, privacy, and security requirements (e.g., GDPR, NAIC, SOX, model governance)
Partner with CISO on data security, access controls, and sensitive‑data handling
Own the enterprise data platforms: Data Lake / Lakehouse, Databricks, ETL/ELT pipelines and orchestration, Data ingestion frameworks, Master & reference data services
Define and execute the data platform roadmap, ensuring scalability, reliability, and modernization
Lead engineering teams responsible for ingestion, transformation, modeling, and platform operations
Provide high‑quality, governed, production‑grade datasets to business reporting teams
Ensure platform performance, cost optimization, and operational excellence
Management and maintenance of all reporting and analytics platforms (QlikView, BusinessObjects, Power BI, Posit etc.)
Enable self-service reporting capabilities within the business
Partner with the business on report development and maintenance
Manage decommissioning and modernization plans as the enterprise transitions to Power BI and Data Lake‑driven reporting
Define the enterprise data strategy and multi‑year roadmap with close partnership with the business
Partner with the Chief Architect to ensure alignment with enterprise architecture, cloud strategy, and integration patterns
Drive standardization of data models, canonical definitions, and enterprise taxonomies
Enable AI driven reporting, data products, and advanced analytics foundations
Lead and develop a global data organization including governance, engineering, and platform operations
Build a culture of data stewardship, quality, and accountability across IT and business units
Manage budgets, vendor relationships, and strategic technology partnerships
Represent data strategy at executive forums and with global business leaders