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Intapp

Partner Analytics – Operations Manager

Intapp

. Shape data architecture across 145+ partnerships, including internal processes, measurements, definitions and reporting .

Posted 10/28/2026full-timeNew York City • New York • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data architecture, analytics, and business operations, with a strong focus on automating reporting and optimizing partner lifecycle processes. Proficient in leveraging AI tools and data analysis techniques to drive performance insights and operational efficiency.

Highest-signal resume keywords
Data ArchitectureAnalytics StrategyAI Tools DevelopmentData Analysis TechniquesBusiness Operations

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisData Workflow ScriptingMetrics DefinitionDashboard CreationReporting AutomationPerformance TrackingPredictive AnalyticsOperational WorkflowsPartner Performance AnalysisData Quality Improvement
Soft Skills
Detail OrientedAdaptable CommunicationEnd-to-End OwnershipOperational RigorCollaborative Alignment
Tools & Technologies
ExcelBusiness Intelligence ToolsAI-Enabled ToolingWorkflow Automation ToolsAutomated Reporting Solutions
Industry Keywords
PartnershipsAlliancesChannel ManagementManagement ConsultingProfessional Services

About the role

Key responsibilities & impact
  • Shape data architecture across 145+ partnerships, including internal processes, measurements, definitions and reporting
  • Define analytical logic for partner performance, including versioning, approval and communication as definitions evolve
  • Own ecosystem-wide dashboards, weekly activity reports, pipeline rollups and executive-ready materials
  • Automate production of reporting and analytics
  • Provide partner leadership with analytics for partner selection, tiering and commercial-model decisions
  • Implement, optimize and maintain Data & Technology partner lifecycle processes
  • Support program deployment, co-delivery, co-sell operations, performance tracking and monetization models
  • Own Data & Technology data usage reporting and identify portfolio optimization and revenue-growth opportunities
  • Support analytics alignment with Product on Data & Technology partners’ platform role
  • Coordinate alignment among sales, marketing, services, IT, legal and finance
  • Drive continuous innovation of partner ecosystem AI tools and solutions
  • Prototype, test and refine AI agents, automated reporting and operational workflows
  • Build predictive signals for partner performance, co-sell opportunities and emerging risk
  • Contribute to the partner ecosystem AI roadmap and standards

Requirements

What you’ll need
  • 4+ years in analytics, data strategy, business operations or a similar analytical role
  • Proficient in Excel, BI tools and data analysis techniques
  • Comfortable with large datasets, formulas and dashboards
  • Comfortable with scripting data workflows where needed
  • Ability to structure data, define metrics, reconcile disconnects, spot trends and build trusted reporting
  • Ability to take end-to-end ownership and create structure where none exists
  • Detail oriented, with operational rigor in attribution, reporting and processes
  • Interest in using AI and automation to eliminate manual work, improve data quality and scale operations
  • Ability to adapt communication across partner managers, sales, finance, product and senior leadership
  • Preferred, not required: management consulting background
  • Preferred, not required: partner ecosystem experience in partnerships, alliances or channel management
  • Preferred, not required: familiarity with accounting, consulting, investment banking, advisory, legal, private capital, real assets or professional services firms
  • Preferred, not required: applied AI fluency, AI-enabled tooling, workflow automation, or AI-assisted reporting and operational workflows

Benefits

Comp & perks
  • Hybrid (Partially Remote) work arrangement
  • Professional development opportunities
  • Reimbursement for training and continuing education
  • Modern, open offices
  • Complimentary lunches
  • Fully stocked kitchens
  • Comprehensive wellness programs
  • Flexible time off programs
  • Family-formation benefits
  • Paid volunteer time off
  • Donation matching program
  • Variable compensation and equity may also be included