AVP, Data Product Owner Product Pricing, Security Master & Enterprise

LPL Financial Global Capability Center; India; On-site; INR 4,200,000 - 6,200,000; Full time

Job summary

LPL Financial Global Capability Center in Hyderabad is seeking an experienced AVP, Data Product Owner to lead pricing, security master, product master, market data, and enterprise reference data capabilities supporting advisor platforms, trading, operations, and compliance.

As the designated business owner, you will define product vision, roadmap, governance, and KPIs, partnering with cross-functional teams to deliver trusted data products and measurable business outcomes.

Qualifications

• Business owner for critical enterprise data products, including pricing and reference data.
• Define business outcomes, product KPIs, and value realization metrics.
• Collaborate across business, operations, technology, architecture, and governance teams.

Responsibilities

• Own and govern the end-to-end data product lifecycle: Define Build Publish Operate Enhance.
• Define and execute product vision, roadmap, operating model, and governance for assigned data products.
• Establish enterprise ownership, stewardship, and accountability for critical data assets.
• Define data definitions, metadata, taxonomies, hierarchies, and enterprise data standards to ensure consistency.
• Partner with Compliance, Risk, Legal, and Information Security to ensure regulatory adherence and governance.

Skills

Wealth management data

Data governance

Reference data management

Product ownership

Job description

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.

Level: AVP

Organization: Product Management / Data Platforms

Reports To: VP, Strategic Data Lead

Job Overview

LPL Financial is seeking an experienced AVP, Data Product Owner to lead Product Pricing, Security Master, Product Master, Market Data, and Enterprise Reference Data capabilities supporting advisor platforms, trading, operations, compliance, risk management, regulatory reporting, and enterprise analytics.

This role serves as the designated business owner for critical enterprise data products and is accountable for product strategy, governance, quality, Source of Record (SOR) alignment, stewardship, lifecycle management, and adoption. The AVP partners across business, operations, technology, architecture, engineering, and data governance teams to deliver trusted, scalable, and reusable data products aligned to business objectives.

The ideal candidate brings deep expertise in wealth management data domains, enterprise data governance, reference data management, and product ownership, with a strong focus on execution, operational excellence, and measurable business outcomes.

Responsibilities

Data Product Ownership & Strategy

Serve as the designated business owner for Product Pricing, Security Master, Product Master, Market Data, and Enterprise Reference Data domains. Define and execute product vision, roadmap, operating model, and governance framework for assigned data products. Establish enterprise ownership, stewardship, and accountability for critical data assets. Define business outcomes, product KPIs, adoption of metrics, and value realization measures.

Product Pricing, Security Master & Reference Data Management

Govern security onboarding, lifecycle management, classification, pricing, and reference data processes. Define and maintain business definitions, metadata, taxonomies, hierarchies, critical data elements, and enterprise data standards. Ensure consistency, integrity, and fitness-for-purpose security and pricing data across platforms and downstream consumers. Support enterprise initiatives involving new products, acquisitions, platform modernization, and regulatory change.

Data Governance, Quality & Stewardship

Define and maintain Source of Record (SOR) strategies, authoritative data source models, and stewardship processes. Identify and manage Critical Data Elements (CDEs), data quality rules, thresholds, and monitor metrics. Improve data quality, lineage, metadata, transparency, and business trust through sustainable governance practices. Partner with Compliance, Risk, Legal, Information Security, and Enterprise Data Governance teams to ensure regulatory and policy adherence. Drive remediation of systemic data quality issues and embed controls within business and technology workflows.

Data Product Lifecycle & Delivery

Own and govern the end-to-end data product lifecycle: Define Build Publish Operate Enhance. Partner with Product Managers, Engineering, Architecture, and Delivery teams to translate business requirements into executable roadmaps and technical solutions. Ensure governance requirements, controls, and business outcomes are incorporated into solution design and delivery. Monitor implementation outcomes, operational performance, adoption, and business value realization.

Stakeholder & Vendor Management

Act as the primary point of accountability for assigned data domains across business and technology organizations. Build alignment among business leaders, governance councils, delivery teams, and key stakeholders. Establish business requirements and governance standards for external market and reference data providers. Partner with vendor management, procurement, and technology teams to optimize data sourcing strategies and vendor performance.

AI & Automation Enablement

Leverage AI tools and platforms to identify automation opportunities across data products and operational workflows. Design, implement, and optimize AI-enabled agents and capabilities that improve data quality, governance, stewardship, and operational efficiency. Evaluate emerging AI use cases and integrate scalable, governed AI solutions into data product operating models.

What are we looking for

Were 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. 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