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Role Overview

LPL Financial is seeking a Consumption Data Product Owner to lead product ownership for consumption-facing data capabilities. This role focuses on how enterprise data is discovered, understood, accessed, and used by downstream consumers across applications, analytics platforms, advisor experiences, operations, partners, and enterprise reporting.

This role sits at the intersection of Product Management, Data Product Ownership, Consumer Enablement, and Data Analysis. The Consumption DPO is expected to operate as a true Product Manager, with the ability to look ahead, define a clear product strategy, build and maintain a roadmap, and align stakeholders around measurable business outcomes.

The Consumption DPO helps translate consumer needs into data product capabilities by defining use cases, prioritizing demand, shaping data access patterns, and ensuring requirements are clear, testable, and aligned to enterprise data platform direction.

The ideal candidate combines product management discipline, strong analytical skills, data fluency, and stakeholder leadership. This person should be comfortable working across upstream systems of record, platform services, data distribution capabilities, and downstream consumers to make data easier to consume, trust, and reuse.

Responsibilities

Product Strategy & Roadmap Ownership

- Define and maintain the product vision, strategy, and roadmap for assigned consumption-facing data capabilities.
- Translate business outcomes, consumer needs, and enterprise data strategy into transparent roadmap priorities.
- Develop multi-quarter roadmaps that balance strategic platform investments, consumer demand, risk reduction, operational needs, and delivery capacity.
- Use prioritization frameworks and evidence-based tradeoff analysis to determine what should be delivered, sequenced, delayed, or deprioritized.
- Define success measures, KPIs, and OKRs that demonstrate product value, adoption, reliability, usability, and consumer impact.
- Communicate product direction, roadmap decisions, tradeoffs, and outcomes to leadership and cross-functional stakeholders.

Consumer Discovery & Product Definition

- Engage downstream consumers to understand use cases, pain points,



data needs, adoption barriers, and desired business outcomes.
- Translate consumer needs into clear data product problem statements, features, user stories, acceptance criteria, and release objectives.
- Define consumption patterns for data access through feeds, APIs, shared services, extracts, reporting platforms, and other approved channels.
- Represent the voice of the consumer in roadmap planning, backlog prioritization, sprint reviews, and platform design discussions.
- Help simplify the consumer experience by promoting reusable data products, standardized access patterns, and clear documentation.

Data Product Ownership & Consumption Enablement

- Own or support assigned data products and consumption capabilities from discovery through delivery, launch, adoption, and continuous improvement.
- Partner with data consumers, platform teams, engineering, architecture, and domain data owners to define scalable and reusable data consumption patterns.
- Maintain traceability between business intent, consumer requirements, data products, and technical implementation.
- Support definition and refinement of data contracts, schemas, interfaces, semantic definitions, usage expectations, and dependency documentation.
- Ensure consumption requirements are specific, testable, and aligned to the intended business outcome and consumer experience.

Advanced Data Analysis & Decision Support

- Perform hands-on data analysis to understand consumer usage, source-to-target relationships, dependencies, issues, and impacts.
- Analyze data quality, lineage, semantic consistency, data availability, and downstream impacts that affect consumer trust and usability.
- Conduct impact analysis for schema changes, new feeds, API changes, platform migrations, system decommissions, or changes to upstream sources.
- Use SQL, reporting, and analytical techniques to support product decisions, validate requirements, and identify durable solutions.
- Provide evidence-based insights to inform prioritization, roadmap planning, consumer readiness, and delivery decisions.

Agile Execution & Delivery

- Prioritize the product backlog for assigned consumption capabilities.
- Participate in backlog refinement, sprint planning, demos, UAT, release readiness, and retrospectives.




- Partner with engineering and QA teams to ensure delivered capabilities meet validated consumer needs and acceptance criteria.
- Manage dependencies, risks, and tradeoffs across stakeholders, delivery teams, and platform partners.

Stakeholder Communication & Influence

- Act as a strategic product partner to business teams, platform owners, engineering, architecture, operations, governance, and downstream consumers.
- Communicate complex data, platform, and consumption concepts in clear, decision-ready narratives.
- Facilitate alignment across stakeholder groups by grounding decisions in product strategy, data realities, value, risk, dependencies, and tradeoffs.
- Support executive updates, roadmap reviews, intake discussions, prioritization forums, and consumer readiness conversations.
- Build trust with stakeholders by combining product judgment, data fluency, and practical delivery discipline.

Requirements

- 12+ years of experience in Product Management, Product Ownership, Data Product Ownership, Product Analytics, Data Analysis, or platform-oriented product roles.
- Demonstrated experience defining product strategy, product vision, roadmaps, priorities, and success measures.
- Strong hands-on experience with SQL, data analysis, source-to-target analysis, or analytical problem solving across distributed data environments.
- Experience working with data platforms, data distribution capabilities, APIs, feeds, integration layers, reporting platforms, or shared enterprise data services.
- Experience operating in Agile/Scrum environments with cross-functional product, engineering, QA, architecture, and stakeholder teams.
- Ability to translate complex data ecosystems and consumer needs into clear product requirements.
- Solid understanding of data quality, data lineage, metadata, semantic consistency, data contracts, data governance, and downstream impact analysis.
- Strong communication skills with the ability to influence stakeholders and explain technical concepts in business-friendly language.

Preferred Qualifications

- Experience supporting wealth management, financial services, advisor platforms, regulated data environments, or enterprise reporting and analytics consumers.
- Experience managing or contributing to multi-quarter product roadmaps for data, API, platform, integration, or analytics capabilities.
- Experience performing impact analysis for data changes across multiple downstream consuming systems.
- Experience using AI-enabled capabilities to improve the speed, depth, and effectiveness of data analysis, requirements development, or product discovery.
- Experience creating product narratives, roadmap readouts, value statements, adoption metrics, and executive-level decision support materials.

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