Operations and Insights Lead (Sr. Manager)

Adobe•San Jose, CA

About The Position

This role builds the analytics, insights, and operating systems that enable better partnership strategy and ensure it translates into execution. You will be responsible for bringing clarity to where Adobe should focus, how partnerships are performing, and how we evolve our approach over time. By combining data, structured analysis, and strong operating discipline, you will help the Partnerships organization make better decisions and execute them consistently. You will lead a small team (2 analysts) and work across Product, Partnerships, and cross-functional teams, operating as a central node that connects strategy, insights, and execution in fast-moving areas such as the AI and agentic ecosystem.

Requirements

8–12+ years in strategy, BizOps, analytics, or similar roles (consulting or tech preferred)
Experience operating in highly cross-functional, ambiguous environments
Strong track record of translating complex problems into structured insights and action
Strong analytical foundation with experience building dashboards, performance frameworks, and decision-support tools
Comfortable working directly with data (not just delegating)
AI proficiency required: Experience using AI tools (LLMs) to accelerate analysis, insights, and workflows
Familiarity with “vibe coding” / rapid prototyping using AI tools (e.g., building lightweight tools, automations, or dashboards without full engineering support)

Responsibilities

Build and lead a partner analytics function (2 direct reports)
Develop dashboards and evaluation frameworks to assess partner performance, deal effectiveness, and ecosystem and competitive dynamics
Generate insights that directly inform where to focus and invest, which partners to prioritize, and how to structure and optimize deals
Establish a lightweight but effective partner and ecosystem intelligence capability
Design and implement scalable processes across partner planning and prioritization, pipeline and deal tracking, and decision-making and governance
Define clear metrics, reporting, and review cadences
Ensure strategy is translated into consistent execution and measurable outcomes
Continuously refine processes based on performance and learnings
Translate strategic questions into clear analytical frameworks and insights
Bring clarity to tradeoffs, priorities, and investment decisions
Continuously refine strategy based on data, ecosystem evolution, and partner performance
Help identify and evaluate emerging partnership opportunities
Structure ambiguous problems into clear hypotheses and testable pilots
Use early experiments to generate insights that inform broader strategy and scaling decisions