VP, Data Strategy & Governance

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Date: Apr 14, 2026

Primary Location: Radnor, PA, US

Company: Lincoln Financial

Alternate Locations: Radnor, PA (Pennsylvania); Charlotte, NC (North Carolina); Fort Wayne, IN (Indiana); Greensboro, NC (North Carolina)

 

Work Arrangement:

Hybrid : Employee will work 3 days a week in a Lincoln office

 

Relocation assistance:  is not available for this opportunity.

 

Requisition #: 75973

 

The Role at a Glance

Lincoln Financial is building a strong, enterprise-scale foundation to enable AI-driven transformation across the organization. We are seeking an VP, Data Strategy & Governance to play a critical role in shaping how data is governed, trusted, and leveraged to power analytics and AI products.

This role sits within the AI, Data & Analytics organization and is responsible for establishing and operationalizing Lincoln’s enterprise data governance framework, data quality programs, and data standards. You will operate at the intersection of AI strategy, business partnership, and governance, ensuring enterprise data is discoverable, reliable, compliant, and AI ready.

Reporting to the Chief Data & AI Engineering Officer, you will partner closely with the Head of AI Product & Delivery, the CIO organization, and senior business leaders. This is a highly visible, build from the ground up opportunity with strong executive sponsorship.

What you'll be doing

Data Strategy & Governance Framework 
•    Define and execute an enterprise data strategy aligned to Lincoln’s AI transformation and business objectives
•    Establish a comprehensive data governance framework, including policies, standards, roles, and operating models that support responsible and scalable AI
•    Create and chair an enterprise data governance council with representation across AI, Engineering, CIO, and business units
•    Define clear data ownership and accountability for key enterprise domains (e.g., customer, policy, claims, financial, actuarial)
•    Develop AI specific data governance policies, including fairness, bias detection, explainability, and lineage requirements
•    Partner closely with the CIO organization to align enterprise data standards with regulatory and compliance requirements (SOX, GLBA, CCPA, state insurance regulations)
Data Quality Management 
•    Define enterprise data quality standards, metrics, and acceptance criteria to ensure AI model reliability
•    Establish data quality measurement and monitoring frameworks for AI training and production datasets
•    Implement data certification processes for AI training, testing, and production data products
•    Lead root cause analysis for data quality issues impacting AI model performance or delivery timelines
•    Define and manage data quality SLAs for high impact AI use cases
Logical Data Architecture & Standards 
•    Design logical enterprise data models, semantic layers, and domain based data architectures optimized for AI consumption
•    Establish and maintain a business friendly enterprise semantic layer for analytics and AI teams
•    Develop and govern enterprise data dictionaries, business glossaries, and taxonomies
•    Define canonical data definitions to resolve cross system and cross business inconsistencies
•    Establish data contracts and interface standards between domains to ensure reliable AI data consumption
Data Products, Catalog & Self Service
•    Define enterprise data product strategy aligned to the AI product roadmap
•    Implement a data catalog strategy enabling discovery of training data, features, and production datasets
•    Enable a data marketplace for AI teams and business users to discover and request data assets
•    Partner on enterprise data literacy initiatives across executives, product managers, and technical teams
•    Build communities of practice across data, AI, and business stakeholders
Business Partnership & Value Realization 
•    Serve as a strategic advisor to senior business leaders (e.g., Underwriting, Claims, Actuarial)
•    Translate business strategies into data and AI requirements
•    Identify opportunities to monetize proprietary data assets
•    Measure and communicate business value delivered through data and AI initiatives

What Success Looks Like

  • Establish enterprise foundations: Stand up an approved data governance framework aligned to the AI roadmap, launch an active governance council, define initial priority data domains, and deliver data products supporting early AI MVPs.
  • Operationalize at scale: Expand governed data domains to support AI teams, implement a robust data quality framework (90%+ for critical domains), launch an enterprise data catalog, and drive broad self service adoption.
  • Mature into a federated model: Build 20+ governed data domains operating under federated ownership, supported by a semantic layer and feature management enabling enterprise scale AI development.
  • Deliver measurable business value: Establish a recognized center of excellence with a scaled team and self service adoption, enabling multiple production AI use cases that deliver in business value.

What we’re looking for

Must Haves
•    10+ years of experience in data management and strategy, with 5+ years focused on data governance, architecture, or AI enablement
•    Proven success establishing enterprise data governance and data quality programs at scale
•    Deep expertise in logical data modeling, metadata management, and semantic architectures
•    Experience enabling AI/ML products from experimentation through production
•    Strong executive presence and ability to influence senior stakeholders
•    Background in highly regulated industries (insurance, banking, financial services)
•    Hands on experience with data catalogs, self service analytics, and data democratization
•    Bachelor’s degree required; MBA or Master’s degree preferred
Nice to Haves 
•    Insurance domain expertise (policy, claims, actuarial, billing data)
•    ML/AI data platforms (feature stores, training pipelines, monitoring)
•    Data mesh or domain driven data product architectures
•    Experience with Collibra, Alation, Atlan, or similar platforms
•    Analytics engineering tools (dbt, Looker, modern semantic layers)
•    Knowledge graphs and semantic web technologies (RDF, OWL, SPARQL)

Application Deadline

Applications for this position will be accepted through May 22nd, subject to earlier closure due to applicant volume.

 

What’s it like to work here?

At Lincoln Financial, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values our unique perspectives, insights and contributions and invests in programs that empower each of us to take charge of our own future. 

 

What’s in it for you:

  • Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values and leadership attributes

  • Leadership development and virtual training opportunities

  • PTO/parental leave

  • Competitive 401K and employee benefits

  • Free financial counseling, health coaching and employee assistance program

  • Tuition assistance program

  • Work arrangements that work for you

  • Effective productivity/technology tools and training

 

The pay range for this position is $157,000 - $285,600 with anticipated pay for new hires between the minimum and midpoint of the range and could vary above and below the listed range as permitted by applicable law. Pay is based on non-discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role. The base pay is just one component of Lincoln’s total rewards package for employees.  In addition, the role may be eligible for the Annual Incentive Program, which is discretionary and based on the performance of the company, business unit and individual.  Other rewards may include long-term incentives, sales incentives and Lincoln’s standard benefits package.

 

About The Company

Lincoln Financial (NYSE: LNC) helps people to confidently plan for their version of a successful future. We focus on identifying a clear path to financial security, with products including annuities, life insurance, group protection, and retirement plan services. 

 

With our 120-year track record of expertise and integrity, millions of customers trust our solutions and service to help put their goals in reach. 

 

Lincoln Financial Distributors, a broker-dealer, is the wholesale distribution organization of Lincoln Financial. Lincoln Financial is the marketing name for Lincoln Financial Corporation and its affiliates including The Lincoln National Life Insurance Company, Fort Wayne, IN, and Lincoln Life & Annuity Company of New York, Syracuse, NY. Lincoln Financial affiliates, their distributors, and their respective employees, representatives and/or insurance agents do not provide tax, accounting or legal advice. 

 

Lincoln is committed to creating an inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. 

 

Follow us on Facebook, X, LinkedIn, Instagram, and YouTube. For the latest company news, visit our newsroom. 

 

Be Aware of Fraudulent Recruiting Activities

If you are interested in a career at Lincoln, we encourage you to review our current openings and apply on our website. Lincoln values the privacy and security of every applicant and urges all applicants to diligently protect their sensitive personal information from scams targeting job seekers. These scams can take many forms including fake employment applications, bogus interviews and falsified offer letters.

 

Lincoln will not ask applicants to provide their social security numbers, date of birth, bank account information or other sensitive information in job applications. Additionally, our recruiters do not communicate with applicants through free e-mail accounts (Gmail, Yahoo, Hotmail) or conduct interviews utilizing video chat rooms. We will never ask applicants to provide payment during the hiring process or extend an offer without conducting a phone, live video or in-person interview.  Please contact Lincoln's fraud team at fraudhotline@lfg.com if you encounter a recruiter or see a job opportunity that seems suspicious.

 

Additional Information

This position may be subject to Lincoln’s Political Contribution Policy.  An offer of employment may be contingent upon disclosing to Lincoln the details of certain political contributions. Lincoln may decline to extend an offer or terminate employment for this role if it determines political contributions made could have an adverse impact on Lincoln’s current or future business interests, misrepresentations were made, or for failure to fully disclose applicable political contributions and or fundraising activities.

 

Any unsolicited resumes or candidate profiles submitted through our web site or to personal e-mail accounts of employees of Lincoln Financial are considered property of Lincoln Financial and are not subject to payment of agency fees.

 

Lincoln Financial ("Lincoln" or "the Company") is an Equal Opportunity employer and, as such, is committed in policy and practice to recruit, hire, compensate, train and promote, in all job classifications, without regard to race, color, religion, sex, age, national origin or disability. Opportunities throughout Lincoln are available to employees and applicants are evaluated on the basis of job qualifications. If you are a person with a disability that impedes your ability to express your interest for a position through our online application process, or require TTY/TDD assistance, contact us by calling 260-455-2558.

 

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