> Markdown version of [/jobs/ext/1882282-senior-technical-program-manager](https://www.wearedevelopers.com/jobs/ext/1882282-senior-technical-program-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Technical Program Manager - **Company:** Visa Inc. - **Location:** Bellevue, WA, United States - **Experience:** Expert - **Salary:** $152,200.0 - $243,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, JIRA, Microsoft Azure, Continuous Integration, Github, Data Intelligence, Systems Development Life Cycle, Release Management, Power BI, Software Tools, Tableau (Software), Grafana, Looker Analytics - **Published:** August 2, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/16912811?backUrl=%2Fcareer%2F16912811%2FSenior-Technical-Program-Manager-Washington-Bellevue ## About the Role * 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 Preferred: * 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 ## Description 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. The Role You sit at the intersection of engineering, business, and leadership. You see strategic questions - "Can we deliver this by Q3?" "Is our AI transformation actually working?" "Where are we bleeding capacity?" - and you go build the answer. Dashboards, models, queries, analysis - whatever weapon fits. Then you frame the compelling narrative that makes leadership act on it. You're a strategic operator who builds. Data and automation are your tools - not your job title. What You'll Do 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. Who You Are * A strategist who builds. You think at the altitude of "what does leadership need to decide?" - then you go build the thing that enables it. * Entrepreneurial. You've operated in ambiguity, built without a playbook, and moved fast without waiting for permission. You take calculated risks, including challenging policies that don't serve the outcome. * A builder. V1 comes from your hands - the dashboard, the model, the query, the deck. You're never waiting for someone else to pull the data. * A narrator. You synthesize data into the compelling story that makes a VP say "now I get it - here's what we do next." * Technically grounded. You understand CI/CD, release strategies, and engineering workflows well enough to ask the right questions and know when someone's hand-waving. * Business-savvy. Budget allocation, P&L, strategic priorities - you connect engineering performance to business outcomes because that's where the best insights live. Stand Out By... * Showing something you built and explaining the decision it drove * Telling us about an insight you discovered that wasn't on anyone's radar * Having opinions about how AI changes engineering operations and metrics * Describing a time you challenged something that wasn't working and replaced it The Environment VERA team at Visa. We move fast. We're deep in an AI transformation (ADLC) and changing how products are built. We value people who discover, build, and drive - over people who track, report, and align. 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