AVP, Product Owner Consumption Management

LPL Financial•Charlotte, TX

About The Position

The Assistant Vice President, Consumption Management Product Owner owns the product definition and evolution of LPL Financial’s enterprise Consumption Management platform. The platform connects AI usage, cost, financial attribution, and reporting to provide trusted insights as AI adoption scales. It helps Finance, product owners, and business leaders understand spending, manage budgets, and make informed decisions. The role translates enterprise AI consumption and financial management needs into product capabilities, data requirements, workflows, reporting, and measurable outcomes. It partners with Finance, engineering, architecture, AI platform teams, governance, Risk, data, and business stakeholders from initial dashboard delivery through adoption and scale. The role is accountable for product outcomes, prioritization, and readiness, working closely with technical leaders on implementation.

Requirements

7+ years of product management or product ownership experience, including enterprise software, workflow, platform, or other 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.

Nice To Haves

Experience in financial services or another regulated industry with governance, risk, privacy, records, or supervisory considerations.
Experience with enterprise knowledge management, workflow/orchestration platforms, AI agents, or human-plus-agent operating models.
Experience building product measurement frameworks, connecting operational measures to business value, and using pilot evidence to guide investment and scale.

Responsibilities

Own execution across the product vision, strategy, roadmap, priorities, and success measures for the enterprise Consumption Management platform.
Translate the needs of Finance, budget owners, product owners, and operational teams into personas, workflows, user stories, acceptance criteria, data definitions, and product requirements.
Define and evolve reporting for AI consumption, including provider-reported and estimated costs, token usage, adoption, utilization, budgets, cost drivers, trends, and forecasts.
Partner with Finance, engineering, architecture, data, AI platform teams, AI governance, Risk, and business stakeholders to shape ingestion, cost attribution, allocation, show-back, chargeback, and reporting capabilities.
Lead dashboard release readiness and validation, including representative scenarios, data quality checks, financial reconciliation, exception handling, acceptance criteria, stakeholder feedback, and iteration through scale.
Use data and feedback to manage the product backlog, resolve scope and dependency questions, make trade-offs, and prioritize improvements in cost transparency, reporting trust, and financial accountability.
Support adoption and rollout by defining enablement, feedback loops, operating practices, and reporting that help stakeholders understand AI consumption and make informed financial decisions.