VP, AI Data Strategy & Program Management

Location: New York

Company Shared Services Argo and Farm Family are specialty property and casualty insurance brands whose underwriting companies are wholly-owned subsidiaries of Clearbrook Holdings Inc. Argo and Farm Family partner with agents and brokers to provide insurance solutions that enable businesses to manage risks with confidence.

Job Description Business Title(s):
Vice President, Data & AI Strategy

Employment Type:

Full-TimeFLSA Status:
Exempt

Location:

In-office
- Any employee, in any Clearbrook office, can apply for this opportunity and stay in their current location.

Summary:

Clearbrook is seeking a hands-on, execution-focused Vice President, Data & AI Strategy to operationalize the enterprise's data and AI capability. Reporting to the SVP, Data & AI Strategy, this role translates enterprise strategy and governance frameworks into working processes, tooling, and day-to-day practice across business domains.

The VP will work directly with business stakeholders, data stewards, analysts, data scientists, and engineers to implement governance standards, integrate external data, mature master data capabilities, and keep the data & AI portfolio running on schedule and visible to leadership.

This is a 100% in-office position. Candidates must be able to work on-site at a designated company office during standard business hours.

Operating Principles Accelerate engineering and delivery

Deploy repeatable processes with a light footprint

Build confidence and/or leave a trail (Git Hub)
Essential Responsibilities Data Governance Execution Implement our recently defined enterprise data governance framework and operating model, adapting it to the realities of each domain

Maintain and enforce data ownership assignments, standards, best practices, and quality processes; facilitate prioritization decisions; escalate gaps and conflicts to leadership and drive resolution

Drive day-to-day adoption of governance practices within business domains (e.g., Policy, Claims, Finance, Pricing, Compliance)
Work directly with data stewards, engineers, and analysts to build and maintain the centralized data dictionary and standardized business definitions

Embed governance checkpoints into existing business and technology workflows without adding friction to delivery

External Data Integration Execute the enterprise external data strategy, including intake, evaluation, and onboarding of new sources

Manage relationships with data providers day to day; support the SVP on provider selection, negotiation, and renewal decisions

Coordinate with data engineering to integrate external data into platforms and cloud environments on committed timelines

Ensure external data assets are governed, documented, and monitored for quality and usage after onboarding

Master Data Management (MDM)
Build out and operate MDM capabilities for assigned core data domains under the enterprise MDM strategy

Implement stewardship and lifecycle processes for master data; run the matching, survivorship, and remediation work streams

Partner with underwriting, claims, finance, and AI teams to connect master data capabilities to live use cases

Data and AI Program Management Run program management for strategic initiatives across the data and AI portfolio, including planning, tracking, and delivery

Operate the standardized intake, prioritization, and delivery frameworks; recommend refinements based on what's working

Produce regular status, risk, and outcome reporting for leadership and enterprise stakeholders

Coordinate cross-functional execution across business, IT, data engineering, analytics, and data science teams

Surface risks, dependencies, and resourcing constraints early

Qualifications/ Experience Required7+ years of experience in data strategy, data governance, data management, or a related discipline3–5+ years of people leadership experience managing teams or cross-functional work streams

Demonstrated experience delivering data governance or data management programs at enterprise scale

Experience with in insurance, financial services, or a related industry preferred

Working knowledge of master data management, data architecture, and modern data platforms

Capabilities

Ability to turn strategic direction into practical, repeatable processes that teams actually adopt

Strong stakeholder management skills across business and technical audiences

Hands-on experience with data governance and data management tooling

Proven ability to drive complex, cross-functional programs to completion

Clear communication, strong organizational…