Job Overview:

LPL Financial is seeking an AVP, Data Product Owner (DPO) to lead Wealth Management (WM) data products while driving large-scale adoption of AI-powered workflow automation across the enterprise data ecosystem.

This role combines strategic Data Product Leadership with hands-on oversight of AI agent frameworks and automation platforms. The AVP will define the roadmap for AI-enabled data products, guide teams in building scalable agent-based systems, and ensure production-ready deployment aligned with governance, security, and business outcomes.

Responsibilities

AI Strategy and Innovation

- Define and lead the strategy for AI-driven workflow automation across the data ecosystem.
- Oversee the design and implementation of AI agents and reusable automation frameworks.
- Establish best practices for agent orchestration, tool integration (APIs, SQL, metadata platforms), and system design.
- Define evaluation, monitoring, and reliability standards for AI systems (guardrails, observability, performance tracking).
- Drive reuse and scalability of AI capabilities across multiple data domains.

Technical & Cross-Functional Leadership

- Partner with Engineering, Architecture, and Business teams to deliver AI-enabled solutions.
- Translate strategic business needs into scalable AI and data product architectures.
- Provide oversight on data models, pipelines, lineage, and integrations.
- Influence platform decisions related to AI, data catalog, and governance tools.

What are we looking for? Were looking for robust 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:

- 7 - 10+ years of experience in Data Products, Product Management, Applied AI, or platform-oriented roles.
- Strong expertise in SQL and data platforms (distributed systems, data lakes, integration layers).
- Strong Python proficiency with experience in AI/ML workflows and automation systems.
- Experience designing and scaling AI agents or workflow automation systems in enterprise environments.
- Experience defining AI architecture patterns involving tool-using agents (APIs, SQL, enterprise systems).
- Experience working with LLM platforms (Amazon Bedrock preferred or equivalent).
- Strong understanding of production-grade AI systems, including monitoring, observability, and reliability patterns.
- Proven ability to lead cross-functional teams and deliver complex data and AI initiatives.

Core Competencies:

- Strong leadership and strategic thinking.
- Deep understanding of data governance, quality, and lineage.
- Ability to translate AI innovations into scalable enterprise solutions.
- Strong communication and stakeholder management across executive and technical audiences.
- Experience operating in regulated environments (financial services preferred).
- Focus on scalability, reliability, and trust in AI-enabled systems.

Preferences:

- Experience with agent frameworks (LangGraph, LangChain Agents, or similar).
- Familiarity with context management techniques such as embeddings, vector databases, or Retrieval-Augmented Generation (RAG).
- Experience with event-driven or microservices-based architectures.
- Exposure to model evaluation techniques and AI performance benchmarking.

📌 Data Products-Wealth Management Automation and Data Products (Hyderabad)
🏢 LPL Financial Global Capability Center
📍 Hyderabad