SVP, Data Governance & AI Responsibility

What if you could build a career where ambition meets innovation? At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence. What if you could have access to cutting-edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what’s possible with LPL Financial.

The SVP, Data Governance & AI Responsibility leader will establish and lead enterprise governance for data and AI, ensuring compliance, quality, and responsible innovation across strategic platforms and domains.

Key Responsibilities

• Data governance tools: Catalog, Quality, Lineage, Recon, Retention

• External domain enablement: Risk, Ops, Finance

• Legacy data documentation and retention risk management

• DataOps and QE testing for strategic migrations

• Regulatory compliance: Reg SP, CCPA, FINRA, SEC

• AI governance and MLOps frameworks

• Lead change forums: SteerCOs, readouts

Strategic Objectives

• Strengthen core data governance capabilities

• Enable DPO adoption in external domains (Risk, Operations, Finance etc)

• Mitigate legacy data risks during integrations

• Operationalize DataOps and testing

• Ensure regulatory compliance and remediation

• Build AI governance, Lead AI governance forums, Change mgmt and MLOps foundations

Success Metrics

• Tool adoption and automation impact

• DPO coverage and satisfaction

• Lineage documentation and retention closure

• Migration test pass rate and defect reduction

• Compliance scorecard and audit closure

• AI governance coverage and risk mitigation

• Forum participation and decision velocity

Requirements

• A bachelor's or master's degree in business, Computer Science, Information Systems, Data Science, Engineering, or a related field.

• At least 15 or more years of experience in product management, including a proven track record of leading significant successful data transformation initiatives in complex environments.

• Minimum 5 or more years of experience in data platform and services build-out in partnership with engineering teams and data product ownership in a mid to large scale enterprise.

• Proven experience in a senior leadership role over enterprise Data governance initiatives: Catalog, Quality, Lineage, Recon, and Retention.

• Experience leading teams through significant transformations, particularly in migrating from legacy systems to modern cloud architectures.

• Exceptional communication and stakeholder management skills.

• Demonstrated ability to foster a collaborative and innovative team culture.

• Experience with DataZone from AWS a plus.

 

Pay Range:

$179,775-$299,625/year

 

Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

 

Company Overview:

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace. LPL supports over 29,000 financial advisors and the wealth-management practices of 1,100 financial institution, servicing and custodying approximately $1.9 trillion in brokerage and advisory assets on behalf of approximately 7 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses.

At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client