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About the Role

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. You sit at the intersection of engineering, business, and leadership, addressing strategic questions and building the answers through dashboards, models, queries, and analysis, then framing a compelling narrative to drive leadership action.

Responsibilities

Mine engineering metrics and business signals to surface insights.
Build dashboards, models, and analytics to make insights persistent and observable.
Author executive communications, business reviews, and strategy recommendations.
Synthesize data, context, and judgment into clear, compelling cases.
Perform capacity analysis, delivery forecasting, and allocation modeling.
Flag when the math doesn't work and drive hard conversations.
Help the team understand AI adoption by defining metrics, building tracking, and analyzing AI's impact.
Create the playbook for AI adoption in engineering operations.
Design operating systems such as release criteria, prioritization frameworks, triage cadences, and financial tracking.
Automate manual and repetitive tasks.
Drive outcomes across teams and influence without authority.

Requirements

Senior TPM-level leadership experience.
Hands-on data fluency, including building dashboards, writing complex queries, and designing metrics frameworks.
Engineering operations experience, including release management, capacity planning, delivery forecasting, or engineering metrics.
Experience with strategic communication, including executive narratives that synthesized data and judgment.
Technical grounding in CI/CD, release processes, quality engineering, and SDLC.
Experience in payments, fintech, or high-availability environments is preferred.
Comfort with AI-assisted development workflows or strong curiosity to learn is preferred.
Financial management exposure, including budgets, cost modeling, and P&L tracking, is preferred.
Experience with engineering tools such as Jira, GitHub, Azure DevOps, Grafana, or similar is preferred.
Must be a U.S. Applicant.

Skills

Data analysis
Dashboard creation
Modeling
Query writing
Metrics framework design
Executive communication
Strategic planning
Capacity analysis
Delivery forecasting
Allocation modeling
AI adoption analysis
Operating system design
Automation
Influencing without authority
CI/CD
Release management
Quality engineering
SDLC
Financial management
AI-assisted development

Location

Office setting

Work Type

Full-time
Hybrid (at least 3 days in office)

Experience Level

Senior

Salary/Compensations

$152,200 to $243,700 USD per year

Benefits

Medical
Dental
Vision
401(k)
FSA/HSA
Life Insurance
Paid Time Off
Wellness Program

About the Company

Visa is a world leader in payments technology, facilitating transactions 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, tackle meaningful challenges, grow your skills, and see 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.

Equal Opportunity

Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status.
Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.