LPL Financial

Vice President, Data Governance, Product Manager

LPL Financial

full-time

Posted on:

Location Type: Office

Location: Fort Mill • New York, North Carolina • 🇺🇸 United States

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Salary

💰 $127,388 - $212,313 per year

Job Level

Lead

Tech Stack

AWSAzureCloudGoogle Cloud PlatformInformaticaSQL

About the role

  • Define and manage the product roadmap for data governance capabilities including lineage, reconciliation, data quality, cataloging, profiling, and incident response systems.
  • Partner with engineering and data platform teams to translate governance requirements into technical specifications, user stories, and acceptance criteria.
  • 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.
  • 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.
  • Maintain and prioritize JIRA backlogs for governance development initiatives, ensuring alignment with strategic priorities and stakeholder needs.
  • Drive the build-out of governance tools and platforms, making strategic decisions between build, buy, and integration approaches.
  • Develop, document, and promote data governance standards, policies, and best practices across the organization.
  • Collaborate with data stewards, business units, and compliance teams to understand requirements and ensure governance solutions meet operational needs.
  • Establish and track KPIs for governance capability adoption, data quality improvements, and incident resolution performance.
  • Create and deliver training programs to promote awareness and adoption of governance tools and standards.
  • Gather user feedback, analyze usage patterns, and iterate on governance capabilities to enhance user experience and effectiveness.
  • Evaluate and manage relationships with governance tool vendors, ensuring optimal performance and value delivery.
  • Maintain comprehensive documentation for governance processes, tools, and standards to support audit readiness and knowledge transfer.

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.
  • 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.
Benefits
  • 401K matching
  • health benefits
  • employee stock options
  • paid time off
  • volunteer time off

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data governancedata managementproduct ownershipagile methodologiesAI-powered data governance solutionsdata lineagemetadata managementdata qualitycloud data platformsdata architecture
Soft skills
communication skillsstakeholder managementchange managementprioritizationcollaborationtraining developmentuser feedback analysisproblem-solvingstrategic decision-makingdocumentation