Senior Manager, Revenue Operations Analytics
Dutchie
| Company | Dutchie |
| Category | Data & Analytics |
| Location | Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 24 Jun 2026 |
| Last verified | 12 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
About Dutchie
Founded in 2017, Dutchie is a comprehensive technology platform powering dispensary operations, while providing consumers with safe and easy access to cannabis. Dutchie aims to further support the positive societal change the cannabis industry brings to the world through wellness benefits, social justice, and empowering local communities through tax revenue. Powering thousands of dispensaries across 40+ markets throughout the United States and Canada, Dutchie is the leading technology company in the cannabis space and was named in Fast Company’s 10 Most Innovative Companies in North America and listed two years in a row on LinkedIn’s Top 50 Startups.
Dutchie has raised over $600M in funding to date, backed by D1 Capital Partners, Tiger Global, Dragoneer, DFJ Growth, Thrive Capital, Howard Schultz, Snoop Dogg’s Casa Verde Capital, Gron Ventures, members of the founding team at DoorDash, Kevin Durant’s Thirty Five Ventures, and other notable angel investors. About This Job
The Senior Manager, Revenue Operations Analytics will lead the analytics function within Revenue Operations, owning the data infrastructure, reporting, and insight generation that powers Dutchie's go-to-market decision-making. This is a newly created leadership role designed to bring senior ownership, analytical rigor, and strategic leverage to RevOps as the function scales. You will act as a trusted analytical partner to Sales, Customer Success, Marketing, and Finance leadership — translating complex data into clear, actionable intelligence that drives revenue growth and operational efficiency.
This role sits at the intersection of strategy and execution. You will be equally comfortable designing a measurement framework for a new GTM motion and diving into the underlying data to validate it yourself. You will be a leader of analysts while maintaining close proximity to the work, and you will be expected to leverage AI tools and automation to meaningfully accelerate the speed and quality of your team's output.
What You'll Do...
Manage, mentor, and develop a high-performing analytics team, setting clear goals, prioritizing the roadmap, and ensuring timely delivery
Foster a culture of intellectual curiosity, accountability, and continuous improvement
Model and embed AI-augmented workflows across the RevOps function — from data exploration and anomaly detection to narrative generation and stakeholder reporting
Serve as the primary analytical thought partner to Sales, CS, Marketing, and Finance leadership, proactively surfacing trends, risks, and opportunities before they are asked for
Translate revenue strategy into measurable frameworks — defining the right metrics, leading indicators, and reporting cadences for each GTM function
Contribute to annual planning cycles including quota modeling, capacity planning, territory design, and headcount analysis
Own the end-to-end revenue reporting infrastructure, including dashboards, KPIs, and recurring executive-facing reporting in Hex, Looker and Salesforce
Lead forecasting analytics — building and maintaining models that improve call accuracy and pipeline predictability across segments
Analyze funnel conversion, deal velocity, retention, expansion, and NRR trends to diagnose performance gaps and recommend interventions
Deliver ad hoc analyses that are rigorous, clearly communicated, and directly tied to a decision or action
Establish and enforce data governance standards — metric definitions, field hygiene, documentation, and change management — across the RevOps tech stack
Partner with Systems and BI/Data Engineering teams to ensure Salesforce, Looker, HubSpot, and Gong data is clean, consistent, and trustworthy
Identify opportunities for automation and AI-assisted analysis to increase throughput and reduce manual reporting burden
Align GTM teams around shared metric definitions, reporting standards, and analytical best practices
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