AVP, Product Owner AI PDLC
Where Ambition Meets Innovation
Job Overview
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.
What are we looking for?
pursue greatness
act with integrity
driven to help our clients succeed
win together
create and share joy
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.
Preferences
- 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.
#LI-Hybrid
Pay Range:
$109,283.00 - $182,104.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!
Company Overview
Information on Interviews
@lplfinancial.com
Not included in the source posting: benefits.
Skills
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