Hybrid VP, Product Management – Data Quality

at LPL Financial

• Job title: VP, Product Management – Data Quality
• Job type: Full Time
• Experience level: Lead
• Salary: $135,960 - $226,600 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, SQL
• Location requirements: Hybrid, New York City, United States

About the role

• VP of Product Management at LPL Financial focusing on data quality governance and AI solutions. Collaborating with engineering to drive product roadmap and implementation for data excellence initiatives.

Responsibilities

• Define and manage the product roadmap for data governance capabilities including, data quality, profiling, and incident response systems.
• Partner with engineering and data platform teams to translate data quality requirements into technical specifications, user stories, and acceptance criteria.
• Lead the design and implementation of AI-powered data quality tools, such as the Data Quality 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 quality 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 quality 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.

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 quality data management, or data platform development, with a proven track record of delivering solutions.
• Minimum 5 or more years of experience in product ownership or product management roles, preferably with technical products or platforms.
• Proven experience managing technical products with demonstrated ability to balance business needs, technical constraints, and user experience.
• Deep knowledge of data governance frameworks, including cataloging, lineage, quality, reconciliation, profiling, and metadata management.
• Strong understanding of agile methodologies, JIRA, and software development lifecycle with ability to work effectively with engineering teams.
• Familiarity with data platforms, cloud architectures, and governance tools such as Collibra, Atlan, Alation, AWS DataZone, or similar solutions.
• Experience developing or managing AI-driven data solutions, including natural language interfaces and advanced lineage tracing.
• Familiarity with technologies such as Vector Stores, Knowledge Graphs, and RAG architectures.

Benefits

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