Associate Director, Solutions
About the role
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, Austin, Miami, Los Angeles (CA), Cupertino (CA), or anywhere in the US. We offer NYC-based salaries for all US roles, regardless of location.
Responsibilities
Own the Solutions client experience from discovery to delivery
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
Lead discovery with prospects and clients to uncover the "real question" behind
Partner with Revenue to drive Solutions growth (commercial + scoping)
Support client conversations by articulating Solutions' value: technical execution + on-demand library access + proprietary infrastructure
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 YipitData 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 scale Solutions delivery and increase capacity
Identify and implement AI-enabled workflows (e.g., assisted scoping, faster data QA, automated recurring deliverables, narrative drafting) to improve turnaround times, consistency, and team throughput while maintaining a high quality bar
Develop reusable, AI-assisted "solution kits" and automation for repeatable work
Develop templates, playbooks, and lightweight automation (prompt libraries, reusable code modules, standardized pipelines) that reduce manual effort across common Solutions requests and enable the team to deliver more projects per analyst without sacrificing rigor or client readiness
Qualifications
Have 5+ years of experience using alternative data to answer high-impact questions, plus 1–2 years of people leadership (or clear examples of leading teams/projects)
Have worked directly with end clients and can consistently uncover the underlying need behind the request
Have experience with, and a strong interest in, leveraging AI to enhance ETL, data pipelines, and analytical workflows
Are comfortable with SQL and Python, and have experience building/maintaining production-grade workflows (Databricks/Spark/GitHub familiarity a plus)
Have strong experience working with large, messy, evolving datasets—especially where definitions/taxonomies change
Bring strong commercial instincts: you can partner with Revenue to scope work cleanly and deliver an excellent, repeatable client experience