Lead Technical Program Manager

Visa•Austin, TX

1d•$164,700 - $263,600•Hybrid

About The Position

The Risk and Security (RAS) organization within Value-Added Services (VAS) delivers industry-leading solutions that help clients manage risk, reduce fraud, and enable secure digital identity experiences. Our products support high-volume transaction processing and mission-critical capabilities used by financial institutions, merchants, fintechs, and payment ecosystem partners worldwide. We are seeking an experienced Lead Technical Program Manager to drive execution of large-scale, cross-functional portfolios spanning Product, Engineering, Data Science, Security, Operations, and Business teams. This leader will own strategic programs from concept through delivery, ensuring alignment to business outcomes, product strategy, operational excellence, and organizational objectives. The ideal candidate combines strong technical depth, program leadership, stakeholder management, and operational rigor with experience leveraging AI-powered delivery tools, Agentic AI workflows, and GenAI-enabled engineering practices to improve execution efficiency, quality, and business outcomes.

Requirements

10+ years of relevant work experience with a Bachelor’s Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience.
Specialist: 4 or more years of relevant work experience.
Proven success delivering large, complex cross-functional programs across global organizations.
Deep expertise in leading Agentic Squads, Agile, SAFe, Lean, DevOps, and modern software engineering practices.
Strong understanding of architecture patterns, APIs, cloud technologies, security, reliability, and operational excellence.
Hands-on experience using AI-powered productivity and delivery platforms such as Microsoft Copilot, GitHub Copilot, ChatGPT Enterprise, Claude, Gemini, Agentic AI platforms, or similar enterprise AI tools.
Experience incorporating AI-assisted workflows into product development, engineering, testing, planning, documentation, reporting, or operational processes.
Experience leading AI transformation or adoption initiatives across engineering and product organizations.
Exceptional communication and executive presentation skills.
Strong stakeholder management and influence skills.
Ability to operate effectively with executive leadership and cross-functional teams.
Strong analytical, problem-solving, and decision-making capabilities.

Nice To Haves

Project Management Professional (PMP®), PMI-ACP, SAFe Program Consultant (SPC), SAFe Release Train Engineer (RTE), Lean Six Sigma
Microsoft AI, Azure AI, or Data & AI certifications.
Generative AI or Prompt Engineering certifications.
Financial services and payments network experience is a plus.

Responsibilities

Lead complex, highly visible, multi-team programs with significant business, operational, and revenue impact.
Drive program strategy, planning, execution, and delivery across globally distributed teams.
Establish and execute on program governance, operating cadence, reporting, and executive communications.
Partner with Product, Engineering, Architecture, Security, and Operations leaders to align roadmaps and delivery plans.
Develop long-range plans, milestones, funding requirements, resource strategies, and success metrics.
Lead large-scale software development programs following Agentic Squad Model, and modern SDLC practices from initiation to deployment.
Manage dependencies, risks, impediments, and critical-path activities across multiple teams and organizations.
Collaborate with engineering leadership to improve delivery predictability, system reliability, security, compliance, availability, resiliency, and operational excellence.
Ensure compliance with organizational governance, security, audit, and regulatory requirements.
Drive adoption of AI-enabled software delivery practices across engineering and product teams.
Leverage GenAI and Agentic AI tools to improve program planning, requirements management, execution tracking, reporting, documentation, and knowledge management.
Use AI-powered portfolio, project management, and engineering intelligence platforms to improve delivery predictability and resource optimization.
Identify opportunities to automate program processes, reporting, governance workflows, backlog management, and operational tasks using AI solutions.
Manage portfolio budgets, forecasts, and investment tracking.
Provide executive visibility into portfolio health, resource utilization, risks, and business outcomes.
Drive data-informed decision-making using reporting, DORA and Flow metrics, dashboards, and predictive insights.
Coach program managers, product, and delivery teams and promote a culture of accountability, transparency, continuous improvement, and execution excellence.
Influence without authority across multiple organizations and executive stakeholders.
Lead organizational change management initiatives and adoption of improved delivery practices.