Vice President of Data and Analytics

Ramp Talent•Chicago, IL

23h•Remote

About The Position

A fast-scaling, high-growth subscription-based digital platform serving hundreds of thousands of professionals across high-stakes career verticals is looking for a Vice President, Data & Analytics to lead one of the most consequential transformations in the company's history. The Data & Analytics function today is a tenured, high caliber team spanning directors, analytics managers and analysts. It has the talent and the infrastructure. What it needs now is an executive who can elevate it from a reporting and support function into a true strategic business multiplier — embedding predictive, prescriptive, and AI-enabled capabilities directly into how the business grows, retains customers, and operates at scale. This role reports to a C-Suite Officer and serves all business ecosystems as a shared service across finance, operations, marketing, product, and customer experience. It is an enterprise-scope leadership role with executive visibility, a clear mandate, and significant room to build.

Requirements

Proven track record transforming data/analytics from cost center to business multiplier — the narrative matters
Demonstrated experience building or operationalizing AI-enabled workflows at scale — not just familiarity with the concepts
Metrics-driven, outcome-focused leadership with strong executive communication and storytelling
Experience leading multi-level teams (directors, managers, ICs) in complex, cross-functional environments
Ability to influence senior business leaders and translate analytics into operational and strategic action
Track record of driving measurable business impact: revenue growth, retention, forecasting accuracy, efficiency, or productivity gains

Nice To Haves

Background at subscription-based or customer-journey-intensive companies — think Spotify, Duolingo, Peloton, Instacart, BetterUp, Stitch Fix, Zillow, Netflix, Zapier, or similar
Experience operating in complex, post-acquisition, or fragmented-data environments
MBA or advanced degree in Analytics, Data Science, Business, or a related field
Product-led growth environment experience
Demonstrated ability to stabilize and retain teams through leadership transitions

Responsibilities

Shift Data & Analytics from reactive reporting to embedded, scalable capabilities that drive measurable business outcomes
Build predictive, prescriptive, and AI-enabled decision systems integrated directly into business workflows and customer experiences
Create repeatable operating frameworks connecting business priorities → data activation → analytics → measurable impact
Operate the function AI-first: use AI to accelerate insight generation, automate manual reporting, and scale decision support
Embed AI-enabled workflows and self-service capabilities to improve enterprise access to trusted, decision-ready insights
Establish responsible AI governance that enables broad adoption while maintaining quality and trust
Partner with senior business leaders to identify and operationalize high-value analytics and AI capabilities
Build enterprise KPI frameworks, performance visibility, and accountability structures that improve execution speed
Measurably improve the speed from data availability → insight → decision → business action
Partner with Technology and Data Engineering to activate fragmented data assets into scalable, contextualized enterprise capabilities
Define business-driven standards for data readiness: completeness, latency, accessibility, and usability
Validate and benchmark enterprise data assets to ensure they're reliable and fit-for-purpose for advanced analytics and AI
Develop a high-performing team with strong business acumen, analytical depth, and AI fluency
Stabilize, retain, and elevate existing talent through a leadership transition
Foster a culture of ownership, experimentation, accountability, and measurable business impact