LPL Financial Global Capability Center
Website:
lpl.com
Company:
https://www.linkedin.com/company/lpl-global-capability-center
Seniority: Not Applicable
Industries: Financial Services
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.
Job Overview
LPL Financial is seeking an
Associate, Data Product Owner (DPO) to own and manage individual Wealth Management (WM) data products while driving adoption of AI-powere3d solutions across the data ecosystem.
This role combines traditional Data Product Ownership responsibilities with hands-on leadership in AI, GenAI, and Agentic AI initiatives. The Associate will identify automation opportunities, defines AI-enabled data products, develops AI Agents, and ensure production-ready deployment aligned with governance, security, and business objectives.
Responsibilities
AI Strategy and Innovation
- Identify and prioritize AI-driven automation opportunities across the data ecosystem.
- Design, develop, test, and deploy AI agents to automate workflows (data quality, lineage, governance, pipelines).
- Define agent workflows, tool integrations (APIs, SQL, metadata systems), and execution logic.
- Implement reliability patterns including guardrails, monitoring, and error handling.
- Partner with engineering teams to productionize and scale agent-based solutions.
Technical Partnership
- Work closely with Data Custodians and Engineering teams.
- Translate business requirements into technical specifications and AI-driven solutions.
- Review data models, schemas, transformations, and lineage.
- Support implementation of AI, metadata, and data catalog solutions.
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
Must have
- 3-4+ years of experience in Data Analytics, Data Products, Applied AI, or platform-oriented roles.
- Strong hands-on expertise in SQL (advanced querying, optimization).
- Strong Python development skills, with experience building production-grade workflows.
- Experience working with data platforms, distributed systems, or integration layers.
- Experience with LLM platforms (Amazon Bedrock preferred or equivalent).
- Experience designing and building AI agents or workflow automation systems.
- Strong understanding of tool-using agents (APIs, SQL execution, system integrations).
- Experience integrating AI solutions into enterprise environments with governance considerations.
Core Competencies
- Strong understanding of data quality, lineage, and governance within data products
- Ability to translate emerging AI capabilities into scalable, business-aligned solutions
- Comfortable operating in highly governed and regulated environments (financial services preferred)
- Excellent communication skills across technical and business stakeholders
- Strong problem-solving mindset with a focus on innovation and continuous improvement
- Ability to embed governance, reliability, and trust into AI-enabled data products
Preferences
- Experience with frameworks like LangChain, LangGraph, or similar orchestration tools
- Familiarity with vector databases (e.g., Pinecone, FAISS, OpenSearch, etc.)
- Understanding of LLM evaluation techniques (accuracy, hallucination detection, benchmarking)
- Experience integrating AI capabilities into production systems with monitoring and governance
- Exposure to fine-tuning, embeddings, or model customization approaches
- Experience in data product ownership or product management
LPL Global Business Services, LLP - PRIVACY POLICY
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