Head of Data Platform and AI

United States (Remote)

ONE

Save, spend, and grow your money — all in one place.

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About One

One’s mission is simple - to help customers achieve financial progress. We’re doing this by creating simple solutions to help our customers save, spend, borrow, and grow their money – all in one place.

The U.S. consumer today deserves better. Millions of Americans today can’t access credit, build savings or wealth, and are left to manage their financial lives through multiple disconnected apps. Almost a quarter of U.S. adults are unbanked or underbanked and roughly 80% of fintech users rely on multiple accounts to manage their finances.

What makes us unique? We are backed by a preeminent fintech investor (Ribbit) and the world’s largest retailer (Walmart), maintain the speed and independence of a startup, and employ a strong (and growing) collection of world-class talent.

There’s never been a better moment to build a business that helps people achieve financial progress. Come build with us!

The role

As ONE’s Head of Data Platforms and AI, you'll lead the development and maturation of our data platform, transitioning from our original systems to a fully-fledged production environment. This role is crucial in building and expanding a robust architecture for long-term scalability and efficiency. You'll oversee hiring and building a team of incredible ONEders, lead our efforts for integration of various data sources, and collaborate closely with the other teams at ONE to drive innovative product development with advanced data analytics and AI solutions.

You Will:

  • Develop and execute a comprehensive data strategy for ONE that incorporates machine learning and AI technologies where necessary and valuable

  • Grow our Data and AI capabilities to ensure that we can scale our systems along with our business

  • Be a hands-on technical leader, capable of diving into the weeds when necessary

  • Collaborate across departments, effectively communicating complex technical concepts in business terms

You Bring:

  • Extensive experience in data engineering and AI, with a focus on building data platforms and infrastructure for large scale critical applications

  • Strong Engineering background with (ideally) experience in tools like Datadog, Splunk, Prometheus, Grafana, etc

  • Large team leadership skills, with a track record of developing talent and managing complex projects and situations

  • Excellent communication and collaboration abilities, with a knack for translating technical details into business impacts

Leveling Philosophy

In order to thoughtfully scale the company and avoid downstream inequities, we’ve adopted a flat titling structure at One. Though we may occasionally post a role externally with a prefix such as “Senior” to reflect the external level of the position, we do not use prefixes in titles like that internally unless in a position which manages a team. Internal titles typically include your specific functional responsibility, such as engineering, product management or sales, and often include additional descriptors to ensure clarity of role and placement within our organization (i.e. “Engineer, Platform”, “Sales, Business Development” or “Manager, Talent”). Employees are paid commensurate with their experience and the internal level within One.

Inclusion & Belonging

To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@one.app.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture Data Analytics Data strategy Engineering FinTech Grafana Machine Learning Splunk

Perks/benefits: Career development

Regions: Remote/Anywhere North America
Country: United States
Job stats:  32  5  1

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