Where Ambition Meets InnovationnnnAt 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.nnnJoin us as we create something extraordinary together.nnnnnnReports To nnVP / Strategic Data Lead nnJob Overview: nnnLPL Financial is seeking an Assistant Vice President, Data Product Owner (DPO) to own and manage individual Wealth Management (WM) data products. This role is responsible for day-to-day ownership, execution, and governance of assigned datasets, ensuring they are accurate, usable, and aligned with business needs. nnThe AVP DPO operates as the hands-on product owner, working closely with engineering, data stewards, and business stakeholders to define requirements, manage data quality, and drive adoption. nnThis is not a reporting or analytics role it is an execution-focused data product ownership role with clear accountability for data quality, usability, and governance. nnResponsibilities nnSupport enterprise initiatives by ensuring data readiness and clarity: nnData Product Ownership u0026 Execution. Act as the named Data Owner for specific WM data products. Define and maintain business definitions and metadata. Use cases and data consumers. Data quality rules and thresholds.



Make decisions on fitness-for-purpose for assigned datasets. Data access approvals (within defined guardrails) nnWealth Management Domain Support. Own data products within WM domains such as: Clients / Participants Accounts and transactions Securities and pricining nnData Product Lifecycle Management: Execute lifecycle activities: Define Build Publish Operate Enhance nnPartner with delivery teams to ensure: Requirements are clear and actionable. Data considerations are embedded in delivery nnData Quality u0026 Issue Management: Identify and track Critical Data Elements (CDEs). Define data quality rules with Data Stewards. Monitor data quality metrics and trends. Drive remediation of data issues and defects nnTechnical Partnership: Work closely with Data Custodians and Engineering to: Review data structures, transformations, and lineage. Support schema and contract changes. Translate business requirements into specifications. Utilize data governance and catalog tools nnCross-Functional Collaboration: Collaborate with: Data Stewards, Engineering and platform teams Risk, Compliance, and Legal nn nnWhat are we looking for nnWere 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. nnRequirements: nn610+ years in Wealth Management or Financial Services nnDemonstrated proficiency in leveraging AI tools and platforms to identify and drive automation opportunities across data products. nnAbility to design, create, update, and onboard AI-driven agents to streamline workflows and enhance operational efficiency. nnExperience integrating AI capabilities into existing data product frameworks, including continuous optimization and governance. nnStrong understanding of emerging AI use cases and the ability to translate them into scalable, business-aligned solutions. nnStrong understanding of WM data domains and use cases nnData product ownership, product management, or data governance nnCore Competencies: nnStrong ownership mindset and attention to detail nnExecution-focused and solution-oriented nnClear communicator across business and technical teams nnComfortable working in structured governance environments nnEstablish transparent ownership for assigned WM data products nnDeliver well-defined, governed, and consumable datasets nnImprove data quality and trust at the product level nnEmbed governance into delivery workflows and backlog execution nnSupport enterprise initiatives with high-quality data products nnLPL Global Business Services, LLP - PRIVACY POLICY .

📌 AVP, Data Product Owner, Advisor Wealth Management (Data Products) (Hyderabad)
🏢 GCC India
📍 Hyderabad