VP, AI Data Strategy & Program Management
$214,302 - $257,142
Apply (opens in a new tab)VP, AI Data Strategy & Program Management
Posted 5 days ago
SENIORITY
Manager
SALARY
$214,302 - $257,142
About the role
- 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 workstreams
- 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 Required 7+ 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 workstreams
- Demonstrated experience delivering data governance or data management programs at enterprise scale
- Experience within insurance, financial services, or a related industry preferred
- Working knowledge of master data management, data architecture, and modern data platforms
- CapabilitiesAbility 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 discipline, and comfort operating with a light footprint
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
