VP, Product & Technology AI Solutions Product Manager

Job Overview The Vice President, Product and Tech AI Solutions Product Manager will lead the modernization of LPL’s Product Development Lifecycle (PDLC) and Software Development Lifecycle (SDLC) through practical AI‑enabled workflows with humans in control. Reporting to the Senior Vice President of AI Business Solutions, this product leader will deliver a clear roadmap and adoption plan across product management, engineering, DevOps, architecture, quality engineering, security, and governance. The role focuses on accelerating value velocity by empowering product managers, reducing late‑cycle churn, shortening review queues, improving developer experience, and increasing release stability. It is a hybrid role that requires onsite work in one of our Fort Mill, SC; NYC; or Austin, TX hubs at least three days a week. Responsibilities Own a modernization roadmap that improves speed, quality, and predictability across discovery, build, test, release, and learning. Translate priorities into sequenced pilots, lightweight standards, and tooling requirements that engineering teams can implement and run. Introduce AI‑assisted workflows with human review, such as drafting PRDs, drafting acceptance criteria, summarizing code behavior, drafting unit tests, and drafting release notes. Standardize lightweight artifacts and quality checks that reduce late‑cycle churn. Partner with architecture, security, and compliance teams to reduce time spent in review queues and improve review speed. Collaborate with DevOps and platform teams to reduce friction in the build and release process. Improve release readiness and change control processes to prevent end‑of‑cycle work. Maintain accurate code and system documentation tied to repositories and runtime behavior. Partner with technology and business reporting to establish baselines and targets for lead time, cycle time, defect escape, and other metrics. Run fast‑cycle pilots, publish results, scale successful patterns, and shut down ineffective pilots. Define tooling requirements and evaluate vendors to prevent shadow tooling or data handling issues. Establish a regular cadence with product, engineering, DevOps, security, compliance, and risk leaders to surface blockers and track adoption. Desired Qualifications Proven ability to define product vision, build roadmaps, prioritize backlogs, and drive adoption for internal products and workflows. Deep understanding of PDLC and SDLC failure modes in real organizations. Experience improving delivery outcomes through clarity of intent, faster reviews, and stronger artifacts. Track record of reducing toil, improving release confidence, and preventing recurring incidents. Expertise in designing AI drafting and analysis workflows that maintain human ownership and auditability. Comfort with establishing baselines, running pilots with clear criteria, and measuring impact on speed, quality, and stability. Technical fluency to work effectively with engineering on integration patterns, access controls, observability, and automation. Ability to partner with security, compliance, and risk teams in a regulated environment and accelerate review speed with better inputs. Track record of driving adoption across teams through training, communications, and continuous feedback. Clear communication skills that surface tradeoffs, progress, risks, and decisions. Requirements Bachelor’s degree in Business, Engineering, Computer Science, Information Systems, or a related field. 8 or more years of experience in product management, engineering, delivery, or adjacent roles, with a track record of improving delivery outcomes in complex organizations. 5 or more years leading cross‑functional initiatives that changed how teams build and ship software. Experience introducing workflow tooling or standards that reduced cycle time, rework, improved release confidence, or improved reliability. Proven experience operating in regulated environments with security, compliance, and audit expectations. Preferences Financial services experience, especially in highly regulated technology and operations environments. Experience with developer productivity tooling, DevOps practices, quality engineering, and release management. Experience applying AI to delivery workflows (requirements drafting, code understanding, test drafting, release documentation, incident learning). Experience partnering with platform engineering, SRE, and enterprise architecture teams. Pay and Benefits Pay Range: $135,960.00 – $226,600.00. Base salary varies based on factors such as skill set, experience, education, peer comparison, performance, and geography. LPL offers a competitive total rewards package that includes 401(k) matching, health benefits, employee stock options, paid time off, volunteer time off, and more. EEO Statement Principals only. EOE. #J-18808-Ljbffr LPL Financial LLC