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Vice President, Data Science & Strategy

Job in New York, New York County, New York, 10261, USA
Listing for: SupportFinity™
Full Time, Part Time position
Listed on 2026-06-17
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 145000 - 195000 USD Yearly USD 145000.00 195000.00 YEAR
Job Description & How to Apply Below
Location: New York

Company Overview

We are the better way to work in finance. As private equity's value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation. If you crave challenging work and are looking to grow, come solve complex issues alongside 1,400+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 10 offices around the globe, we are a high‑growth, entrepreneurial firm looking for people who want to be part of building something great.

Data & Analytics

Our Data & Analytics (D&A) team offers cutting‑edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges. We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics. We deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location. This position is not eligible for immigration sponsorship.

About the Role and You

We're looking for a rare combination: a data scientist who thinks like a strategist and a strategist who speaks fluent data. You fall in love with problems and quantify complex situations using math. This isn't a role about building models in isolation—it's about transforming how a business makes decisions, identifies opportunities, and drives growth. You'll be equal parts analyst, advisor, and architect of our strategic direction.

What

You'll Do

You will sit at the intersection of data and strategy, turning complex business challenges into quantifiable opportunities. This means diving deep into our numbers to surface insights that others miss, then translating those insights into actionable growth strategies. You will work directly with leadership to shape major business decisions, from market expansion and pricing strategy to resource allocation and competitive positioning.

Your day‑to‑day will involve identifying the right questions to ask before anyone else thinks to ask them, building analytical frameworks to answer those questions, and presenting recommendations that fundamentally shift how we operate. You will own strategic initiatives from conception through execution, measuring impact and iterating as you go. You may travel to client sites as needed, leading AI assessment and Strategy Engagements.

What

We're Looking For
  • Strategic Mindset: You naturally think several moves ahead, understand business models, competitive dynamics, and growth levers. You can hold your own in discussions about market strategy, unit economics, and long‑term planning.
  • Technical Depth: You are strong in quantitative methods—statistics, predictive modeling, optimization, experimental design. You can wrangle messy data, build robust analyses, and know when a sophisticated model is needed versus when a simple calculation will do. Python, R, SQL are in your wheelhouse.
  • Translation Layer: You can explain complex analytical concepts to non‑technical stakeholders without dumbing them down, build conviction around data‑driven recommendations, and defend your methodology when challenged.
  • Business Acumen: You understand P&Ls, growth metrics, customer economics, and operational levers, and have worked closely with business teams to address their pain points.
Requirements
  • 5+ years of experience in analytical roles with increasing strategic responsibility.
  • Strong foundation in statistics, machine learning, and quantitative analysis.
  • Demonstrated experience influencing business strategy through data.
  • Track record of…
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