SVP, Head of Development Practices & AI Product Development Lifecycle

LPL Financial; Austin (TX); Presencial; USD 240 000 - 290 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

401K matching

Health benefits

Employee stock options

Paid time off

Resumo da oferta

LPL Financial seeks a visionary Head of Development Practices and AI Product Development Lifecycle to define a target-state PDLC and lead enterprise transformation across AI-native product development. You will shape governance, team models, and platforms to deliver faster, higher-quality software with responsible AI practices.

Reporting to the CTO, you will govern risk controls, quality, and delivery metrics while partnering with Product, Engineering, and business leaders to align PDLC with

Qualificações

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• 15+ years of progressive leadership experience in software/enterprise technology transformations.
• Proven success delivering enterprise-scale delivery transformation with modern PDLC/SDLC, DevOps, and platform engineering.
• Experience embedding security, privacy, compliance, risk, and audit controls into delivery in regulated environments.

Responsabilidades

• 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.

Conhecimentos

Executive leadership

Enterprise-scale delivery

PDLC design

AI-assisted development

Security & compliance

Formação académica

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Ferramentas

CI/CD tooling

AI/ML platforms

Descrição da oferta de emprego

Lead with Purpose, Unlock Your Team's Passion At LPL, people leaders hold the key to the employee experience - shaping culture, driving performance, and guiding individuals to new heights. Because when that happens, we all win - clients, LPL, and most importantly, our employees. If you're ready to lead with intention and discover what's possible,

Redefine how enterprise software and digital products are created in an AI-accelerated world.

As Head of Development Practices and AI Product Development Lifecycle, you will design the operating model, platforms, guardrails, and team structures that enable smaller, higher-leverage teams to deliver faster while strengthening quality, resilience, security, and accountability.

Job Overview

Reporting directly to the Chief Technology Officer, this senior executive leader will define, lead, and continuously evolve LPL's target-state Product Development Lifecycle (PDLC).

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.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• 15 or more 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.
• Demonstrated 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.

Core Competencies

• Executive leadership, enterprise influence, strategic planning, and technology investment prioritization
• End-to-end PDLC design, DevOps, platform engineering, developer experience, quality engineering, and continuous delivery
• AI-native software development, agent orchestration, prompt and context engineering, automation, and responsible AI governance
• Team topology, operating-model design, workforce transformation, and change leadership
• Executive communication, cross-functional partnership, engineering metrics, and outcome-based accountability

Preferences

• Master's degree in Computer Science, Engineering, Information Systems, Business Administration, or a related discipline.
• Experience in financial services, healthcare, or another highly regulated industry, with direct exposure to secure software development, model risk, privacy, audit, and operational resilience requirements.
• Cloud, architecture, agile, or DevOps credentials such as AWS, Microsoft Azure, or Google Cloud Solutions Architect; Certified Scrum Professional; SAFe Practice Consultant; or DevOps Institute certification.

Pay Range

Pay Range: $240,000.00 - $290,000.00 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.

Benefits

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.

Company Overview

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com. At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients. For further information about LPL, please visit www.lpl.com.

Information on Interviews

LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at [phone].

EOE.

EAC 5.19.26 LPL Financial is the nation’s largest independent broker-dealer.* Our company is widely known for its financial strength, exceptional service, and favorable industry reputation among financial professionals. To understand who we are, it’s important to know our core belief: financial guidance is a fundamental need for everyone. LPL Financial creates the space to let you do what you do best – create personal, long-term client relationships that turn financial aspirations into realities. Each year, thousands of financial professionals successfully manage billions of dollars in assets. Because our company is not too big and not too small, you can seize the opportunity to make a real impact. To learn more about our organization visit our About LPL page. * As reported by Financial Planning magazine, June 1996-2019, based on total revenue.