The opportunity
In this role you will define how Chime measures the experience members have in the app and the impact of its AI-powered features — and lead the strategic analyses that shape decisions made by senior leaders across the company. Chime's members interact with the app daily and increasingly through AI-driven experiences.
What you'll do
Define and own the measurement framework for Chime's AI and App Experience: metrics — the definitions, methodology, and read-outs that other analytics teams and stakeholders across product, design, engineering, and member services rely on as the source of truth.
Set the strategy for how Chime understands engagement, adoption, and the: quality of its AI-powered features. Unlike anyone else, you will anticipate changes in how members interact with the app and AI experiences, build the understanding for why, and shape what leaders do in response.
Be the arbiter of truth with data. You'll raise the methodological bar for: the highest-stakes analyses and define what "good" looks like for how the organization understands the way members experience the app and its AI features.
Partner widely and at altitude. You'll be a strategic thought partner to: leaders across Product, Design, Engineering, Operations & Member Experience, and Marketing — pressure-testing what's worth doing, not just answering the questions handed to you. The stronger these partnerships, the more successful you and Chime will be.
Ask why a lot, and raise the bar for those around you. Your proactive: inquisitiveness, supported by your data dexterity, means you lead first-of-its-kind analyses and mentor the data scientists around you to do the same.
years in data-focused roles, leading analyses or building data tools that: shape the decisions of an executive audience and frame the trade-offs leaders weigh.
What they're looking for
- Deep proficiency in product and experience metrics: engagement, adoption, retention, and the leading indicators of feature quality — enough to set the narrative, not just report it. Familiarity with measuring AI/ML-powered experiences is a strong plus.
- Extensive stakeholder management experience at the Director/VP+ altitude, and: a clear Northstar for how Analytics partners with and influences product and engineering teams.
- Expertise in SQL: you innately translate business questions to queries, understand the edge cases of joins, and with dexterity explore a warehouse to find data most appropriate to the problem.
- Analytics engineering depth: you have built data models in dbt that you and others rely on, and you set standards for how the team creates durable data products.
