AVP, Product Owner AI PDLC

LPL Financial•Charlotte, TX

3d•Hybrid

About The Position

The Assistant Vice President, AI PDLC Product Owner owns the product definition and evolution of LPL Financial’s AI Product Development Lifecycle (AI PDLC) platform and measurement framework. The role helps shape an enterprise product that connects people, processes, agents, knowledge, and measurement to improve software development experiences and delivery of business value across LPL. It translates the future-state product development lifecycle into capabilities, workflows, artifacts, gates, and measures, partnering with product, engineering, architecture, AI governance, risk, and delivery teams from pilot through adoption and scale. The position is accountable for product outcomes, prioritization, and readiness, while working closely with technical leaders on implementation. The successful candidate connects business needs, user experiences, process design, data, and emerging AI capabilities into a coherent product direction, and helps teams innovate responsibly.

Requirements

7+ years of product management or product ownership experience supporting 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 a complex enterprise environment.
Working knowledge of software development lifecycles, product and delivery metrics, pilot design, and data-driven product decision-making.
Practical understanding of 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 management, or supervisory requirements.
Experience with enterprise knowledge management, workflow and orchestration platforms, AI agents, or human-plus-agent operating models.
Experience developing product measurement frameworks, connecting operational metrics to business outcomes, and using pilot results to guide investment and scaling decisions.

Responsibilities

Own the product vision, strategy, roadmap, priorities, and operating measures for the AI PDLC platform and measurement framework.
Translate the future-state PDLC into personas, workflows, roles, artifacts, gates, user stories, acceptance criteria, and product requirements.
Define and evolve measures across PDLC phases, including DORA metrics, throughput, cycle time, queue time, inter-task delay, quality, adoption, and business value.
Partner with engineering, architecture, design, AI DevOps, AI governance, risk, and delivery teams to define human experiences, agent lifecycle capabilities, knowledge access, orchestration, and governance requirements.
Lead pilot readiness activities, including hypothesis development, baseline definition, scenario planning, success and failure criteria, evidence collection, findings analysis, and iterative improvements from pilot through scale.
Manage and prioritize the product backlog using data and stakeholder feedback to address dependencies, evaluate trade-offs, and improve value delivery and workflow efficiency.
Define enablement approaches, feedback mechanisms, operating practices, and reporting frameworks that support adoption and measure product outcomes.