Senior Technical Program Manager

Visa•Austin, TX

6d•$152,200 - $243,700•Hybrid

About The Position

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Technical Program Manager — Engineering Strategy & Operations You make an engineering organization smarter, faster, and more honest — by discovering what the data reveals, building the systems that make it visible, and framing the narrative that drives action.

Requirements

Senior TPM-level leadership — driving outcomes across teams, influencing without authority
Hands-on data fluency — you've personally built dashboards (Power BI, Tableau, Looker), written complex queries, designed metrics frameworks that drove decisions
Engineering operations experience — release management, capacity planning, delivery forecasting, or engineering metrics for a shipping software org
Strategic communication — executive narratives that synthesized data + judgment into a compelling case
Technical grounding — CI/CD, release processes, quality engineering, SDLC

Nice To Haves

Payments, fintech, or high-availability environments
Comfort with AI-assisted development workflows or strong curiosity to learn
Financial management exposure — budgets, cost modeling, P&L tracking
Engineering tools: Jira, GitHub, Azure DevOps, Grafana, or similar

Responsibilities

Discover and build. Mine engineering metrics (velocity, capacity, defect trends, release health) and business signals (cost, allocation, strategic alignment) to surface insights others miss. Then build the dashboards, models, and analytics — yourself — that make those insights persistent and observable to the org.
Own the narrative. Author executive communications — business reviews, metrics packages, strategy recommendations — that synthesize data + context + judgment into a clear, compelling case. You don't report numbers. You frame the story that drives the decision.
Drive planning intelligence. Capacity analysis, delivery forecasting, allocation modeling. You make commitments honest by grounding them in live data. When the math doesn't work, you flag it early and drive the hard conversation.
Understand and shape the AI transformation. We're adopting an agentic development lifecycle (ADLC). You help the team understand what's working — defining metrics, building tracking, analyzing where AI is accelerating us and where we need to improve. There's no playbook. You create it.
Design operating systems. Release criteria, prioritization frameworks, triage cadences, financial tracking. Just enough structure to create predictability — without bureaucracy.
Automate the toil. If a human is doing it manually and repeatedly, you're building the automation that eliminates it.