Manager, Operations Analytics — Toronto

Reports to: CEO, transferring to the COO on appointment

Dotted line to: CFO (financial reporting), VP Operations North America, VP Operations Europe

Travel: 20–25%, including regular London and branch visits

About Us:

ZenaTech (Nasdaq: ZENA | FSE: 49Q) is a technology company specializing in AI drones, Drone-as-a-Service (DaaS), enterprise SaaS, and quantum computing solutions for mission-critical business applications. Since 2017, the company has leveraged its software development expertise and expanded its drone design and manufacturing capabilities through ZenaDrone to innovate and enhance customer inspection, monitoring, safety, security, compliance, and surveying processes.

Position Overview

Own a single, trusted definition of operational performance across two regions and build the data foundation that makes it possible. Every operating decision the two VPs make should trace back to numbers this team produces

First 180 Days

• Establish standard definitions for gross margin, utilization, cost-to-serve, and job profitability that apply identically in both regions
• Stand up the consolidated operational data model across acquired entities
• Deliver the first consolidated operating review pack covering North America and Europe
• Hire and onboard both teams and establish the Toronto–London working rhythm

Responsibilities

• Own operational reporting and analytics for both regions
• Own the operational data platform roadmap and priorities
• Manage two geographically split teams and arbitrate between competing regional demands
• Serve as analytical partner to both VPs in monthly and quarterly operating reviews
• Provide the operating data underlying quarterly financial reporting and MD&A
• Identify structurally unprofitable service lines, branches, and customers, and quantify the fix
• Support operational diligence on acquisition targets

Requirements

• 7+ years in operations analytics, FP&A, or business intelligence, including 2+ managing analysts
• Experience managing a distributed team across timezones
• Solid technical grounding — SQL required, able to direct data engineering work credibly
• Fluent in job costing and contribution margin in a labour-intensive service model
• Able to hold a definition against pressure from two regional leaders who each want it computed their way
• Public company reporting experience preferred

Artificial Intelligence

We use artificial intelligence to review and screen applications and materials. However, every candidate we move forward with is reviewed and selected, and all final hiring decisions are made, by a member of our hiring team.

“We are an equal opportunity employer committed to employment equity utilizing hiring practices on merit and business needs. We encourage applications from women, Indigenous peoples, persons with disabilities, members of visible minorities and all others of legally protected status.”

This is a vacant position