01Overview
Where Ambition Meets Innovation At LPLs Global Capability Center, you'll find a collaborative culture where your voice matters, integrity guides every decision, and technology fuels progress. Your skills, talents, and ideas will redefine what's possible. LPL's success reflects its exceptional employees, who together pursue one noble purpose: empowering financial advisors to deliver personalized advice for all who need it. Were proud to be expanding and reaching new heights in Hyderabad. Join us as we create something extraordinary together. 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 clear 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 .
