VP Data Product Owner Wealth Management Data Products

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Job Overview

LPL Financial is seeking a Vice President, Data Product Owner (DPO) to lead ownership and strategy for critical enterprise Wealth Management (WM) data products. This role operates at a senior leadership level, with accountability spanning multiple data products or an entire WM data domain.

The VP DPO is responsible for defining product vision, driving enterprise-scale data strategy, and governing high-impact datasets to ensure they are trusted, reusable, and aligned to business and regulatory needs. This role partners closely with executive stakeholders across Technology, Risk, Compliance, and Business leadership to embed data product thinking across the organization.

This is not a reporting or analytics role — it is a strategic product ownership role for enterprise data, with accountability for both business outcomes and data governance at scale.

Responsibilities

• Enterprise Data Product Ownership & Strategy: Own a portfolio of WM data products and/or an entire domain. Define and drive:Enterprise data product vision and roadmap. Cross-domain data standards and usage model. Strategic prioritization aligned to business objectives. Serve as final decision authority on:Fitness-for-purpose at enterprise scale. Access, governance, and acceptable risk thresholds. nvestment prioritization and backlog direction
• Wealth Management Domain Leadership. Act as senior domain authority across WM data (Clients, Accounts, Transactions, Securities, Advisors). Align data products to:Business strategy and operating model evolutionRegulatory and risk requirements. Enterprise analytics and AI initiatives
  
  

Represent WM data in executive governance forums and strategic initiatives. Data

• Product Lifecycle Leadership. Oversee lifecycle management at scale across multiple products.Ensure consistency and quality of. Data Product Charters and Canvases. Roadmaps, KPIs, and value realization tracking. Ensure data requirements are embedded early in large-scale programs and initiatives
• Data Quality, Risk & Governance Oversight. Define enterprise-level data quality standards and thresholds. Own governance for Critical Data Elements (CDEs) across domains. Assess and escalate material data risks to senior leadership. Drive remediation strategy for systemic data quality issues
• Technical Leadership & Partnership. Provide strategic oversight for:Data architecture alignment. Lineage, data contracts, and schema evolution.Partner with engineering leadership to:Align product roadmap with platform capabilities. Evaluate impact of technical changes on enterprise data usage. Drive adoption of governance tooling and automation
• Cross-Functional & Executive Collaboration; Influence and align with: Senior business leaders and product owners. Engineering, Architecture, and Platform leaders. Risk, Compliance, and Legal leadership. Lead and contribute to enterprise Data Product Ownership CoE. Mentor and provide guidance to AVP/VP-level DPOs
  
  

What are we looking for?

We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

Requirements

12–15+ years in Wealth Management or Financial Services

• Significant experience in:
• Data product ownership or product strategy
• Data governance with execution accountability
• Leading cross-functional, enterprise initiative
• Proven experience influencing senior leadership and enterprise decisions
  
  

Wealth Management Expertise

• Deep domain expertise across WM data domains
• Strong understanding of WM operating model, regulatory landscape, and data dependencies
  
  

Technical Knowledge

• Strong conceptual understanding of:
• Data architecture, modeling, pipelines, lineage
• Data quality frameworks and governance models
• Ability to operate at architecture and strategic design level
  
  

Key Attributes

• Enterprise mindset with strong ownership and accountability
• Strategic thinker with execution discipline
• Influential leader across business and technology
• Comfortable making high-impact decisions under ambiguity
  
  

Core Competencies

• Establish enterprise-level ownership and accountability for WM data products
• Define and execute data product strategy and roadmap across domains
• Improve data quality, trust, and enterprise reuse at scale
• Embed governance into delivery and operating models
• Influence firm-wide data-driven initiatives and priorities
  
  

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