Director of Operations Analytics

Who Are We?

UniUni, a North American leader in last-mile logistics, delivers tens of millions of parcels annually in Canada, from Coast to Coast, and is rapidly expanding across the United States. Founded in 2019, UniUni’s tech-driven innovation and crowdsourcing delivery model offers fast, economical, and reliable services to local, national, and international e-commerce clients.

What Do We Offer?

At UniUni, we offer exciting opportunities to our employees to achieve their career goals. If you are ready to join UniUni’s dynamic team, while working hard and having fun doing it, we invite you to apply online and let us know how you can be part of our success story.

About the Role

Lead the strategy and delivery of our internal Operations & Client Management analytics platform. You’ll establish robust, trusted metrics and reporting used daily by Operations, Planning, and Account teams, and embed practical, built-in AI (Q&A, auto-reports, proactive alerts, simple what-if views) to make insights faster and easier to act on. While the platform is for internal use, you will also shape a small set of SMB-facing, AI-powered features integrated with our shipping platform that help smaller merchants self-serve and differentiate our service experience.

Product & Strategy 

• Own the roadmap for the Ops & Client Management dashboard (Operations, Client Management, Executive views). 
• Create prototypes and the system structure, and continuously improve the process.
• Translate day-to-day needs (OTD, exceptions/returns, partner health, client health/renewals, QBRs) into simple, reliable analytics.

Analytics & Built-in AI 

• Deliver intuitive Q&A, automated reports, proactive alerts, and light what-if planning directly in the dashboard. 
• Ensure accuracy, clarity, and guardrails (source attribution, documented assumptions, and human review for sensitive outputs). 

Data & Integrations 

• Integrate logistics event data, CRM/client data, and core commercial signals to present one coherent story. 
• Define and maintain metric definitions, data contracts, freshness SLAs, and documentation. 

Enablement & Change Management 

• Work closely on-site with Operations, Planning, and Account teams to drive adoption, training, and continuous improvement. 
• Establish simple feedback loops and ship iterative enhancements on a predictable cadence. 

SMB-Facing Differentiation 

• Identify and deliver a small set of AI-powered self-serve features for SMBs (e.g., shipment-health snapshots, plain-language explanations, basic forecasts) while maintaining internal data security and access controls. 
• Facilitate integration of these features into our SMB platform in partnership with Product & Technology teams. 

Qualifications

• 8–12+ years leading analytics products used by Operations and/or Client teams. 
• Proven track record delivering trusted BI (dashboards, scheduled reporting, metric governance) and embedded AI features that teams use.
• Strong data fluency: modeling, definitions, SLAs, documentation; comfortable partnering with Data Engineering.
• Clear communicator who turns data into simple narratives and actions; excellent stakeholder management across Operations, Account/Sales, Finance, Product, and Engineering. 
• Nice to have logistics operations exposure; SMB analytics or portal experience; familiarity with QBR workflows. 
• Base at our Vancouver head office; 4 days/week in office for close collaboration with Operations and cross-functional partners, including Product & Technology teams.
• Occasional travel to other sites as needed.

What You’ll Deliver

• Adoption: High daily use by internal Operations, Planning, and Account teams.
• Quality: Clear, trusted metrics with on-time data refresh and transparent definitions.
• AI value: Accurate, explainable answers and alerts with source links and appropriate review controls.
• SMB Shipping Platform differentiation: A limited set of AI-enabled self-serve views that improve retention and reduce support load.

• Dental, Vision, Medical insurance, Paid Holiday, Paid Time Off, Paid Sick Leave, Management training program

• Salary range between 100,000 CAD - 165,000 CAD