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Vice President of Data and Analytics

Ramp Talent

Job Location:

Chicago, IL - USA

Monthly Salary: Not provided by the employer

Posted: 28 May 2026 (30+ days ago)

Application Deadline: 25 August 2026

Vacancies: 1 Vacancy

The job posting is outdated and position may be filled

Job Summary

VICE PRESIDENT DATA & ANALYTICS
High-Growth subscription-based digital Platform
Fully Remote All U.S. Time Zones Executive Leadership

THE OPPORTUNITY

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 companys 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.

WHAT YOULL BE ACCOUNTABLE FOR

TRANSFORM THE FUNCTION

 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

DRIVE AN AI-FIRST OPERATING MODEL

 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

ENABLE ENTERPRISE PERFORMANCE & DECISION-MAKING
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

OWN THE DATA FOUNDATION

 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 theyre reliable and fit-for-purpose for advanced analytics and AI

BUILD AND LEAD THE TEAM
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

WHAT WERE LOOKING FOR

MUST-HAVES:
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

STRONG DIFFERENTIATORS:

 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

HOW SUCCESS IS MEASURED

Measurable business value delivered through analytics and AI (revenue retention margin productivity)
Percentage of analytics initiatives operationalized as scalable capabilities vs. one-time analyses
Adoption and impact of predictive/prescriptive capabilities embedded into business workflows
Reduction in manual reporting and analytical prep through automation and AI-enabled workflows
Speed from data insight decision action across the enterprise
Improvement in enterprise KPI alignment reporting consistency and decision confidence
Talent retention engagement and development within the Data & Analytics organization

ABOUT THIS SEARCH

This is a confidential executive search conducted by Ramp Talent. The hiring company name will be shared with qualified candidates who advance in the process. All outreach and candidate information is handled with full discretion.

Interested candidates should reach out directly to the Ramp Talent search team. Qualified profiles will receive a detailed role overview company brief and direct access to the search team for any questions.

Confidential Executive Search Conducted by Ramp Talent

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