Associate Director, Solutions

About Yipit Data

Yipit Data is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ride sharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high‑stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award‑winning, people‑centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.

Yipit Data Solutions is your client’s institutional data partner, turning Yipit Data’s proprietary data and infrastructure into your firm’s private advantage.

Syndicated research often covers the “core,” but many clients’ edge lives outside the core (niche, proprietary theses; uncovered names) and teams are frequently resource constrained (limited time and internal data capacity). Solutions extend an investment team’s capabilities by providing technical execution for theses, on‑demand access to our dataset library + analyst bench, and infrastructure to move faster and go deeper.

We’re looking for a team lead to run and scale Solutions: a client‑facing team delivering bespoke analysis and data products ranging from simple data pulls and aggregations to custom web scrapes, deep‑dive diligence, and ongoing data feeds built to spec.

This role reports to the Head of Public Investor Product and will work closely with Revenue, Research, Data Engineering, Application and Partnerships to scope, deliver, and grow Solutions engagements.

This role is remote‑friendly and can be based in NYC, one of our hubs in Austin, Miami, Los Angeles (CA), and Cupertino (CA), or anywhere in the US. We offer NYC‑based salaries for all US roles, regardless of location.

• Own the Solutions client experience from discovery to delivery
  • Lead discovery with prospects and clients to uncover the “real question” behind the ask, define success criteria, and translate investment theses into concrete deliverables and timelines.
• Set expectations early and clearly (scope, feasibility, methodology, tradeoffs), and ensure deadlines are hit.
• Partner with Revenue to drive Solutions growth (commercial + scoping)
  • Support client conversations by articulating Solutions’ value: technical execution + on‑demand library access + proprietary infrastructure.
• Help package and scope engagements across commercial models (ad hoc credit‑based work vs. dedicated “full partnership” resourcing).
• Lead a high‑performing delivery team
• Manage, mentor, and develop a team of data/insights analysts executing incoming and recurring projects.
• Establish quality bars for analytical rigor, reproducibility, and “client‑ready” outputs (clean narratives + clear assumptions + defensible methods).
• Deliver bespoke outputs across the full Yipit Data library
  • Leverage (and help clients navigate) a broad set of dataset types—e.g., email receipt panels, transaction data, software spend, web traffic, app data, web‑scraped data, connected accounts, healthcare purchasing, and targeted interviews.
• Drive delivery across one‑off deep dives and ongoing feeds (examples include market share files, targeted interviews, custom scrapers, and recurring deliveries built to client specifications).
• Build the “operating system” for Solutions
• Define best practices for intake, scoping, project management, QA, and reuse (templates, playbooks, repeatable pipelines).
• Improve capacity planning, prioritization, and visibility across the Solutions pipeline.
• Leverage AI to…