Head of AI-Driven Product Delivery & PDLC

LPL Financial; New York (NY); On-site; USD 240,000 - 290,000; Full time

Job summary

LPL Financial in New York seeks a senior executive to define and lead the target-state PDLC for AI-native product development, embedding agentic workflows and human-in-the-loop governance across the delivery value stream.

Reporting to the CTO, you will align teams across Engineering, Product, Architecture, Data & AI, Security, Risk, Legal and Compliance to deliver observable, auditable, and continuously improving processes.

Qualifications

• 15+ years of progressive leadership experience spanning software engineering, product development, platform engineering, or enterprise technology transformation in large, complex organizations.
• Proven success leading enterprise-scale delivery transformation, including modern PDLC/SDLC design, DevOps, CI/CD, platform engineering, shift-left quality, operating-model redesign, or product-led delivery.
• Proven production experience with AI-assisted and agentic development, including large language model coding assistants, agent frameworks, workflow automation, retrieval-augmented generation or knowledge systems, and human oversight.
• Experience embedding security, privacy, compliance, risk, and audit controls into technology delivery within a regulated or similarly control-intensive environment.

Responsibilities

• Define and own the target-state AI-native PDLC, including its vision, principles, operating model, stage gates, decision rights, roles, success measures, and multi-year transformation roadmap.
• Design the target-state team model for AI-augmented product development, including team composition, agent roles, human-agent collaboration patterns, escalation paths, pilot sequencing, scaling criteria, and migration from current delivery structures.
• Establish enterprise standards for agentic development, including agent taxonomy, workflow orchestration, prompt and context management, tool integration, secure data handling, auditability, and human oversight requirements.
• Build the PDLC platform and toolchain strategy with Architecture, Platform Engineering, and AI/ML teams across IDE integrations, CI/CD, test automation, observability, knowledge systems, and agent orchestration platforms.
• Define and govern outcome-based measures for cycle time, release frequency, quality, defect rates, agent utilization and effectiveness, developer experience, cost-to-deliver, technical debt, operational resilience, and business value.
• Partner with Product, Engineering, and business leaders to align PDLC adoption with product strategy, portfolio priorities, modernization objectives, and delivery commitments.
• Embed controls with Enterprise Risk, Information Security, Compliance, Legal, Privacy, and Model Risk Management, ensuring responsible AI use and regulatory readiness throughout the development value stream.
• Lead organizational transformation and workforce evolution, including role redesign, skills development, hiring strategy, change leadership, performance expectations, coaching, and adoption support for AI-augmented teams.
• Establish governance and executive reporting for PDLC maturity, adoption, exceptions, risks, investment needs, and realized value; advise senior leadership on technology strategy, organizational design, and competitive implications.
• Build, lead, and mentor a high-performing leadership team responsible for PDLC strategy, platform enablement, transformation delivery, engineering excellence, and developer experience.

Skills

Executive leadership

Strategic planning

AI-native software development

Team topology

Cross-functional collaboration

Education

Bachelor's degree in Computer Science/Engineering/Information Systems

Job description

LPL Financial in New York seeks a senior executive to define and lead the target-state PDLC for AI-native product development, embedding agentic workflows and human-in-the-loop governance across the delivery value stream.

Reporting to the CTO, you will align teams across Engineering, Product, Architecture, Data & AI, Security, Risk, Legal and Compliance to deliver observable, auditable, and continuously improving processes.