Partner Analytics & Operations Manager

Location:

New York

Shape how Intapp measures, scales, and evolves its partner ecosystem, and build the AI that runs on it. The agentic AI era is reshaping how enterprise software is built, distributed, and trusted. For highly regulated industries (e.g. legal, private capital, investment banking, accounting, consulting) the winning platform is the one with the strongest partner ecosystem. Partners now sit at the center of Intapp’s platform and AI ambitions.

It’s a team in high demand. Strategy is only as good as it can be operationalized. In this team, Operations is part of writing the strategy We already run AI agents and automated reporting. The growing weight of partners and the pace of AI leave plenty still to shape, and your input will count.

• Shape partner strategy through data

  Shape data architecture across all 145+ partnerships: internal processes, measurements, definitions and reporting Define the analytical logic behind partner performance, and how definitions evolve as the ecosystem changes: versioning, approval and communication Own ecosystem wide dashboards, weekly activity reports, pipeline rollups and executive ready materials, and automate how they are produced Give partner leadership the analytics to decide which partners we back, how we tier them and how we shape the commercial model.
  
  Your analyses have direct strategic impact

• Drive Data & Technology partner operations

  Implement, optimize and maintain processes across the Data & Technology partner lifecycle: program deployment, co-delivery and co-sell operations, performance tracking, monetization models Own D&T data usage reporting and turn it into insight on where to optimize the portfolio and drive revenue growth Support analytics to align with Product on how D&T partners fit the platform, and keep sales, marketing, services, IT, legal, and finance moving in the same direction

• Evolve Partner Ecosystem AI tools

  We already run AI agents and automated reporting. Drive the continuous innovation of new solutions, prototype fast, test with real colleagues, keep what works, drop what does not Build toward predictive: early signals on partner performance, co-sell opportunities and emerging risk, before they show up in the numbers Built on the data foundation you lead and the reliable AI standards you help set.
  
  This is where you become the colleague who contributes significantly to the roadmap

• You are analytical: 4+ years in analytics, data strategy, business operations or a similar analytical role. You structure data, define metrics, reconcile disconnects, spot trends and build reporting that leadership trusts and acts on. Proficient in Excel, BI tools and data analysis techniques, comfortable with large datasets, formulas and dashboards, and with scripting data workflows where needed
• You are not afraid to own:
  You take ownership end to end, create structure where none exists yet, and make complex, cross functional processes run cleanly and repeatably
• You have a diligent eye:
  You are detail oriented and know how operational rigor, such as clean attribution, accurate reporting and reliable processes, translates into revenue and partner experience
• You are keen to play with AI:
  You want to use AI and automation to eliminate manual work, improve data quality and scale operations beyond what headcount alone can achieve
• Versatile communications:
  You adapt naturally across audiences, from partner managers and sales to finance, product and senior leadership, and turn operational detail into executive ready narratives

• Management Consulting…