VPII, Enterprise Data Governance Risk & Controls

LPL Financial•Charlotte, TX

About The Position

The Vice President II, Enterprise Data Governance Risk & Controls is a senior leader in LPL’s Enterprise Data Governance & Responsible AI organization and reports to the Senior Vice President, Data Governance & Responsible AI. This newly created role establishes and leads LPL’s first-line Enterprise Data Governance Risk & Controls capability, including its strategy, operating model, governance framework, control inventory, monitoring, issue management, evidence, and reporting practices. The role connects governance standards to practical controls, measurable risk reduction, and executive visibility, supporting trusted data for client service, regulatory readiness, analytics, and responsible AI adoption. The leader works across Product, Technology, Risk, Compliance, Legal, Operations, Data Governance, Responsible AI, and Internal Audit, coordinating with first-, second-, and third-line partners. The role aligns data governance controls with the Enterprise Risk Management Framework, regulatory expectations, and sustainable business operations, while advising senior leaders on control maturity, risk strategy, investment priorities, and operational resilience. It also builds and develops a high-performing team.

Requirements

10 or more years of experience in data governance, data management, data risk, controls, or a related discipline within a regulated financial services environment.
Experience designing, implementing, or materially advancing enterprise data governance and control frameworks, operating models, and control inventories.
Experience with data quality, lineage, classification, retention, critical data management, and controls across the data lifecycle.
Experience establishing governance processes for control design, evidence, testing, monitoring, issue management, remediation, and risk reporting.
Experience partnering across Product, Technology, Risk, Compliance, Legal, Operations, and Audit to deliver enterprise-scale outcomes.

Nice To Haves

Experience building a new team, function, or enterprise capability from the ground up.
Experience supporting audits, regulatory examinations, or governance programs and owning remediation through validated closure.
Knowledge of enterprise risk management, operational risk, control management, and GRC technologies.
Experience establishing KRIs, executive dashboards, continuous controls monitoring, or risk visualization.
Experience with responsible AI, AI governance, or controls supporting the responsible use of data and artificial intelligence.

Responsibilities

Establish and lead the Enterprise Data Governance Risk & Controls function, including strategy, operating model, governance framework, accountability model, and multi-year maturity roadmap.
Design and oversee an enterprise data governance risk and control framework covering data quality, lineage, classification, retention, critical data, privacy, cybersecurity, AI, and third-party data risk.
Define standards for control design, inventories, documentation, evidence, testing, monitoring, issue management, remediation, and continuous improvement.
Partner with Product, Technology, Business, Data Governance, and Responsible AI leaders to embed controls throughout the data lifecycle without creating duplicative processes or testing.
Align first-line controls with Enterprise Risk, Operational Risk, Information Security Risk, Privacy, Compliance, Legal, Model Risk Management, and other second-line requirements.
Create enterprise metrics, key risk indicators, continuous monitoring, dashboards, and executive reporting on data risk posture and control effectiveness.
Own the identification, escalation, remediation, and validated closure of data-related control gaps through established RCSA and GRC processes.
Serve as the first-line lead for data governance audits, regulatory examinations, and risk assessments; coordinate evidence and demonstrate control design and operating effectiveness.
Evaluate emerging regulatory, industry, and technology risks and translate them into enhancements to the enterprise control environment.
Build, lead, and develop a high-performing team.
Advise senior leaders on control maturity, risk strategy, investment priorities, and operational resilience.