Vice President, Data Governance Product Manager

LPL Financial • Charlotte, NC

23h

About The Position

Job Overview: The Vice President, Data Governance Product Manager will serve as the product leader for LPL's data governance platform, capabilities and solutions. This role bridges the gap between governance strategy and technical execution by developing and managing the roadmap for core governance capabilities including data catalog, lineage, reconciliation, data quality, cataloging, profiling, and incident response. Reporting to the Senior Vice President of Data Governance & Responsible AI, this leader will work closely with engineering teams to translate governance requirements into technical solutions. The role requires a unique blend of data governance expertise and product management skills to prioritize development efforts, manage backlogs in JIRA, and ensure governance tools deliver measurable value to the organization. This leader will champion data governance standards and practices across the enterprise, driving adoption through training, enablement, and continuous improvement of governance capabilities. The ideal candidate thrives at the intersection of business needs and technical delivery, with a passion for building scalable, user-friendly governance solutions. This role offers a unique opportunity to drive the execution of critical data governance capabilities—including innovative AI-powered solutions—and contribute directly to LPL Financial’s data excellence initiatives.

Requirements

• A bachelor's or master's degree in Computer Science, Information Systems, Data Science, Business, Engineering, or a related field.
• At least 10 or more years of experience in data governance, data management, or data platform development, with a proven track record of delivering governance solutions.
• Minimum 5 or more years of experience in product ownership or product management roles, preferably with technical products or platforms.

Nice To Haves

• Experience working directly with engineering teams using agile methodologies and tools such as JIRA, Confluence, or similar platforms.
• Experience designing, implementing, or managing AI-powered data governance solutions (e.g., natural language metadata search, automated lineage tracing).
• Familiarity with OpenLineage or similar open-source data lineage frameworks is highly desirable.
• Demonstrated experience developing and managing product roadmaps for data or analytics capabilities.
• Strong understanding of data governance frameworks and best practices (DCAM, Dama DMBOK), including hands-on experience with governance tools and technologies.
• Proven ability to manage multiple priorities and stakeholders in a fast-paced, complex environment.
• Experience in financial services or other highly regulated industries preferred.
• Excellent written and verbal communication skills with ability to present to both technical and executive audiences.
• Track record of driving adoption and change management for technical solutions.
• Experience with cloud data platforms (AWS, Azure, GCP) and modern data architectures.
• Familiarity with metadata management, data lineage, and data quality tools such as Collibra, Alation, Atlan, Informatica, or AWS DataZone a plus.
• Knowledge of Modern Data Architectures: Familiarity with technologies such as Vector Stores, Knowledge Graphs, and RAG architectures.
• OpenLineage Experience: Experience with OpenLineage or similar open-source lineage frameworks is a plus.
• Regulatory Awareness: Understanding of financial services regulations and their impact on data governance, privacy, and security.

Responsibilities

• Product Ownership: Define and manage the product roadmap for data governance capabilities including lineage, reconciliation, data quality, cataloging, profiling, and incident response systems.
• Technical Collaboration: Partner with engineering and data platform teams to translate governance requirements into technical specifications, user stories, and acceptance criteria.
• AI-Driven Solution Development: Lead the design and implementation of AI-powered data governance tools, such as the Data Catalog GPTs, which enable users to interact with metadata using natural language for faster system understanding, field mapping and SQL query generation.
• Advanced Data Lineage Architectures: Oversee the development of next-generation data lineage solutions leveraging Vector Stores, Knowledge Graphs, and Retrieval-Augmented Generation (RAG) architectures to enhance traceability and transparency across data systems.
• Backlog Management: Maintain and prioritize JIRA backlogs for governance development initiatives, ensuring alignment with strategic priorities and stakeholder needs.
• Capability Development: Drive the build-out of governance tools and platforms, making strategic decisions between build, buy, and integration approaches.
• Standards & Policy Management: Develop, document, and promote data governance standards, policies, and best practices across the organization.
• Stakeholder Engagement: Collaborate with data stewards, business units, and compliance teams to understand requirements and ensure governance solutions meet operational needs.
• Metrics & Monitoring: Establish and track KPIs for governance capability adoption, data quality improvements, and incident resolution performance.
• Training & Enablement: Create and deliver training programs to promote awareness and adoption of governance tools and standards.
• Continuous Improvement: Gather user feedback, analyze usage patterns, and iterate on governance capabilities to enhance user experience and effectiveness.
• Vendor Management: Evaluate and manage relationships with governance tool vendors, ensuring optimal performance and value delivery.
• Documentation: Maintain comprehensive documentation for governance processes, tools, and standards to support audit readiness and knowledge transfer.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Number of Employees: 5,001-10,000 employees