VPII, Enterprise Data Governance Risk & Controls

LPL Financial•Fort Mill, SC

3d•$156,354 - $260,590

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, reporting to the Senior Vice President, Data Governance & Responsible AI. This newly created role establishes and leads the firm’s first-line Enterprise Data Governance Risk & Controls capability, connecting governance standards to practical controls, measurable risk reduction, and executive visibility. The position establishes and matures the framework, control inventory, monitoring, issue-management, evidence, and reporting practices used to identify, assess, mitigate, and communicate data-related risk across the enterprise. The leader partners with first-, second-, and third-line teams to align data governance controls with the Enterprise Risk Management Framework, regulatory expectations, and sustainable business operations. The role also builds and develops a high-performing team and advises senior leaders on control maturity, risk strategy, investment priorities, and operational resilience.

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 audit, 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 its strategy, operating model, governance framework, accountability model, and multi-year maturity roadmap.
Design and oversee an enterprise data governance risk and control framework spanning 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 effective 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 that provide transparency into 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, coordinating evidence and demonstrating control design and operating effectiveness.
Evaluate emerging regulatory, industry, and technology risks and translate them into pragmatic enhancements to the enterprise control environment.
Build, lead, and develop a high-performing team while advising senior leaders on control maturity, risk strategy, investment priorities, and operational resilience.