San Diego, California Open to new roles

Hailey Robbers

Senior Product Manager — payments, data, and AI. Eight years taking products from ideation to client adoption.

Career profile

Senior Product Manager with 8 years of experience bringing successful solutions from ideation to client adoption, seeking career pivot into strategy and program management.

Currently at Visa, driving the strategic transformation of legacy spend analytics products into AI/ML-enabled intelligence hubs — from ideation through market introduction. Before that, four years across Visa's travel and tourism insights business and its emerging issuer and acquirer businesses, and two years at Equilar shipping executive intelligence products.

Optional: two or three sentences in your own voice on what you're looking for next.
Product philosophy
01

Concept

Any new concepts come from deep customer empathy.  "What user problem should we solve?" In my experience, desirability strongly predicts adoption.
02

Plan

My favorite phase!  My goal is to define the smallest testable solution from iterative rapid prototyping.  Close collaboration with pilot users is critical to ensure we are solving the the initial problem identified. 
03

Build

The age of multiple week long sprint cycles is over. With the goal of releasing work weekly, it becomes essential to establish clear business priorities and product requirements. This clarity not only guides the team’s focus but also ensures alignment with overarching goals.
04

Launch

I have embraced the idea that defining a successful feature and product launch must occur before the planning phase (working backwards). By this stage, all internal and external partners should be aligned on what a successful MVP launch entails, including clearly defined key metrics. Our objective is to deliver the MVP to users through controlled rollouts.
05

Optimize

When I choose to pivot, persevere, or scale based on data from the MVP launch, it's crucial to gather input from all areas of the product line — marketing, sales, leadership, and engineering. I'm not afraid of recognizing when the best approach is to fail fast.
What I'm up to
As of August 2026
Learning

Learning from leaders in design and digital innovation across industries at the DDX Conference in San Diego.

DDX Conference, San Diego
Fun facts
i
One line — the more specific the better.
ii
Something a recruiter would remember you by.
iii
A hobby, a place, a habit.
iv
Keep one of these slightly odd.
See selected work Get in touch
Selected Work

Three things I built, and what came of them

Each one is summarized here. The longer story — the decisions, the dead ends, the people — goes in the space under each summary.

World Bank Data Partnership

The problem

The World Bank wanted to use consumer spending data to help governments measure economic development outcomes, but an approved product, governance framework, and partnership model for this use case did not yet exist.

What I did

I recognized an opportunity to establish Visa's first data partnership with the World Bank and led the effort to make it possible. I worked across Product, Legal, Privacy, Policy, Operations, and Engineering teams to define an approved use case, establish data governance requirements, and onboard the World Bank to a spend intelligence experience built custom for the World Bank. I also managed the client relationship, supported research and publication efforts, and ensured all usage complied with Visa's disclosure and privacy standards.

Outcome

The partnership became the first World Bank-Visa data collaboration, providing access to Visa's aggregated and depersonalized spend intelligence to support tourism and economic policy research across LEDCs. The engagement demonstrated a new commercialization pathway for Visa, generated external thought leadership, and established a repeatable model for future partnerships with supranational organizations.

Data Governance Stakeholder Alignment Strategic Planning

Anomaly Detection for Live VisaNet Data

The problem

Reactive data quality management. Clients were identifying anomalies in consumer spending before Visa, while internal teams lacked an automated and scalable way to monitor live client data and prioritize investigations.

What I did

I led the cross-functional execution for an anomaly-detection capability that scored live VisaNet data to identify consumer spending spikes, drops, and missing records. I operationalized monthly data extraction and review, guided improvements to model accuracy and severity prioritization, and helped establish the investigation workflow with client services team. I then expanded the solution into an AI-enabled dashboard for internal users that summarized and visualized critical anomalies through conversational Q&A and automated investigation tickets generation.

Outcome

Established a proactive quality-control capability designed to detect issues before client escalation, while the next-generation bot demonstrated how AI could make complex model outputs easier for analysts to review and act on.

Process Improvement Product Development Data-driven Decision Making

Visa Installments Analytics Platform

The problem

Visa Installments lacked a centralized analytics platform to measure adoption, transaction growth, issuer engagement, merchant performance, and geographic expansion, making strategic planning and business performance tracking difficult.

What I did

Led requirements definition for Visa Installments' first internal analytics platform, establishing the Hadoop data foundation and designing a multi-tab executive dashboard covering enrollments, plan acceptances, cancellations, growth metrics, market share, issuer and merchant performance, geographic trends, and cross-border activity. Partnered with Data Science, Engineering, DEAR analytics, and leadership teams to define business KPIs, data models, and long-term reporting strategy.

Outcome

Created a scalable reporting framework that gave leadership visibility into Installments adoption, client engagement, growth trends, and market performance, enabling data-driven roadmap prioritization, client investment decisions, geographic expansion planning, and executive business reviews.

Strategic Planning User-Centric Design Data-driven Decision Making
Ask me about any of these
Bookshelf

What I'm reading, and what I thought

A running shelf — some of it work-adjacent, most of it not. Reviews are mine and unedited.

Currently reading

Working Backwards: Insights, Stories, and Secrets from Inside Amazon

Colin Bryar and Bill Carr

“The best teams visualize the finish line and adapt their paths accordingly.”

Recently finished
Nonfiction
When McKinsey Comes to Town
Walt Bogdanich and Michael Forsythe

“There is no secret society shaping every major decision and determining the direction of human history. There is, however, McKinsey & Company.”

Memoir
The Ride of a Lifetime: Lessons Learned from 15 Years as CEO of the Walt Disney Company
Robert Iger

“Optimism sets a different machine in motion.”

Memoir
Educated
Tara Westover

“You can call this selfhood many things. Transformation. Metamorphosis. Falsity. Betrayal. I call it an education.”

Fiction
Tomorrow, and Tomorrow, and Tomorrow
Gabrielle Zevin

“I believe in the power of stories to shape our lives, but I also believe in the importance of the art of creating them together.”

Fiction
The Four Winds
Kristin Hannah

“In the end, it was the hope that saved them.”

Business
The Five Dysfunctions of a Team: A Leadership Fable
Patrick Lencioni

“Teams that focus on collective results outperform those that focus on individual achievement.”

Send me your titles and reviews and I'll set them into the shelf — the cards above are structure, not content.

Get in touch

I'd genuinely like to hear from you

Whether you're hiring, comparing notes on payments and AI, or just want a book recommendation — email is the fastest way to reach me, and I answer everything.

Direct
Based in
San Diego, California
What I'm looking for

Senior Product Manager roles in fintech, retail, software, games, and AI. I'm also targeting Senior Strategy roles and Chief of Staff / Assistant Vice President roles.

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