Website:
lplfinancial.in
Job details:
Where Ambition Meets Innovation
At LPL’s 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. We’re proud to be expanding and reaching new heights in Hyderabad.
Join us as we create something extraordinary together.
Reports To
VP / Strategic Data Lead
Job Overview
LPL 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.
The 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.
This 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.
Responsibilities Support Enterprise Initiatives By Ensuring Data Readiness And Clarity
- Data Product Ownership & 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)
- Wealth Management Domain Support. Own data products within WM domains such as: Clients / Participants Accounts and transactions Securities and pricining
- Data Product Lifecycle Management: Execute lifecycle activities: Define → Build → Publish → Operate → Enhance
- Partner with delivery teams to ensure: Requirements are clear and actionable. Data considerations are embedded in delivery
- Data Quality & 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
- Technical 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
- Cross-Functional Collaboration: Collaborate with: Data Stewards, Engineering and platform teams Risk, Compliance, and Legal
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
- 6–10+ years in Wealth Management or Financial Services
- Demonstrated proficiency in leveraging AI tools and platforms to identify and drive automation opportunities across data products.
- Ability to design, create, update, and onboard AI-driven agents to streamline workflows and enhance operational efficiency.
- Experience integrating AI capabilities into existing data product frameworks, including continuous optimization and governance.
- Strong understanding of emerging AI use cases and the ability to translate them into scalable, business-aligned solutions.
- Strong understanding of WM data domains and use cases
- Data product ownership, product management, or data governance
Core Competencies
- Strong ownership mindset and attention to detail
- Execution-focused and solution-oriented
- Clear communicator across business and technical teams
- Comfortable working in structured governance environments
- Establish clear ownership for assigned WM data products
- Deliver well-defined, governed, and consumable datasets
- Improve data quality and trust at the product level
- Embed governance into delivery workflows and backlog execution
- Support enterprise initiatives with high-quality data products
LPL Global Business Services, LLP - PRIVACY POLICY
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