below marketmost similar roles pay hereabove market
This role pays less than
88%
of similar roles. Most pay
$163,525–$231,000
— the blue band above.
At the midpoint, this role pays about
$146k
versus about
$197k
for comparable roles.
Based on 240 similar postings.
Employer
About LPL Financial
LPL Financial is the largest independent broker-dealer in the United States, providing brokerage and investment advisory services to independent financial advisors and financial institutions. Industry: Financial Services & Wealth Management
LPL Financial currently has
105 open roles
on FindRole.
Listed pay typically runs
$122,570–$204,249
across 53 roles with salary data.
The AVP, Product Owner Consumption Management joins the team to define and manage an enterprise platform for AI consumption. This role involves owning the product vision, strategy, and roadmap to connect AI usage, cost, financial attribution, and reporting into trusted insights. You will translate complex business needs from Finance and engineering into personas, workflows, user stories, and data definitions. Key responsibilities include defining reporting for token usage, adoption, and cost drivers while managing the product backlog and release readiness. The role requires expertise in generative AI, AI agents, and software development lifecycles. You will solve the problem of fragmented consumption records by creating practical capabilities for budget management and financial accountability within a regulated environment, ensuring scalable and responsible technology solutions for enterprise AI adoption.
Own the product vision, strategy, roadmap, and success measures for the enterprise Consumption Management platform.
Translate business needs into user stories, acceptance criteria, data definitions, and technical product requirements.
Define reporting for AI consumption including costs, token usage, adoption trends, and financial forecasts.
Partner with technical teams to shape cost attribution, allocation, show-back, and chargeback capabilities.
Lead dashboard release readiness through data quality checks, financial reconciliation, and stakeholder feedback loops.
Manage the product backlog by prioritizing improvements in cost transparency and financial accountability.
Define enablement practices and reporting to help stakeholders make informed AI consumption decisions.
What we're looking for
7+ years of product management or product ownership experience in enterprise software, workflow, platform, or complex technology products.
Experience translating complex business processes or operating models into product strategy, roadmaps, workflows, requirements, and measurable outcomes.
Experience leading cross-functional product delivery with engineering, design, architecture, data, and business stakeholders in an enterprise environment.
Experience with software development lifecycles, product and delivery metrics, pilot design, and data-driven product decision making.
Experience with generative AI, AI agents, or AI-enabled software development and their application to enterprise workflows.
Experience in financial services or another regulated industry with governance, risk, privacy, records, or supervisory considerations (preferred).
Experience with enterprise knowledge management, workflow/orchestration platforms, AI agents, or human-plus-agent operating models (preferred).
Experience building product measurement frameworks, connecting operational measures to business value, and using pilot evidence to guide investment and scale (preferred).
SQL
Agile
Scrum
APIs
Data Analysis
Data Governance
Data Lineage
Data Contracts
Data Product Ownership
Source-to-Target Analysis
Metadata
Data Quality
Reporting Platforms
AI-enabled capabilities
Business Intelligence
AI
Data Engineering
Data Governance
Tableau
Data Pipelines
Semantic Modeling
UX
Product Roadmap
Data Visualization
Intelligent Automation
Enterprise Platforms
data, analytics