SVP, Data and AI Strategy

Brookfield Wealth Solutions, Ltd•New York, NY

1d•$255,000 - $350,000•Onsite

About The Position

Clearbrook is seeking a strategic and results-driven Senior Vice President, Data & AI Strategy to lead the development and execution of a modern, enterprise-wide data and AI capability. This role sits within the AIDA (AI, Data & Analytics) organization and will play a critical role in enabling scalable, data-driven decision-making across the enterprise. The SVP will partner closely with executive leadership and business stakeholders to establish best-in-class data governance, advance data strategy, and unlock value from data and AI investments.

Requirements

10+ years of experience in data strategy, data governance, or enterprise data leadership
8+ years of people leadership experience, including building and leading high-performing teams
Proven track record of implementing enterprise data governance or data management programs
Experience within insurance, financial services, or a related industry preferred
Strong background in master data management, data architecture, or data platforms
Ability to translate strategic vision into practical, scalable solutions
Strong executive presence and stakeholder management skills
Experience selecting and implementing data governance and data management tools
Demonstrated ability to lead complex, cross-functional programs
Strong communication and organizational leadership capabilities
Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.

Responsibilities

Lead the design and implementation of an enterprise-wide data governance framework and operating model
Establish and ensure clear ownership, standards, and processes to ensure high-quality, trusted, and consistent data across the organization
Drive adoption of governance practices across key business domains, including Policy, Claims, Finance, Pricing, Compliance, and other key areas
Collaborate with data stewards, data engineers, and data analysts to create, populate, and maintain a centralized data dictionary and standardized business definitions
Embed governance into core business and technology workflows to support efficient, scalable operations
Define and execute a holistic strategy for sourcing and leveraging external data
Identify and partner with leading data providers aligned to business priorities
Accelerate integration of external data into the enterprise data ecosystem (e.g., data platforms, cloud environments)
Ensure consistent governance, documentation, and effective use of external data assets
Partner across the broader ecosystem to unlock new data opportunities and insights
Establish and lead an enterprise-wide master data management capability for core data domains
Define ownership, stewardship, and lifecycle processes for master data
Align master data capabilities with key business use cases, including underwriting, claims, finance, and AI initiatives
Lead program management across the AIDA portfolio to drive execution excellence and transparency
Establish standardized intake, prioritization, and delivery frameworks for data and AI initiatives
Provide enterprise-wide visibility into program status, risks, and outcomes
Coordinate cross-functional efforts across business, IT, data engineering, analytics, and AI teams
Ensure strong alignment with executive stakeholders and enterprise priorities