Delivery Manager; Business Analytics - Term

Delivery Manager (Business Analytics) - 15 Month Term

Department: Business Intelligence + Analytics

Employment Type: Fixed Term - Full Time

Location: Vancouver

Reporting To: Nelson Tsuboi

Compensation: $110,000 - $140,000 / year

Hi there, we’re Article. 👋 Since 2013, we have been redefining the furniture industry one sofa at a time. It’s not easy — it requires solving challenging, meaningful problems. This is where you come in, as a Delivery Manager (Business Analytics), you will play a crucial role in enabling our Business Analytics & Insights (BIA) teams to deliver high-impact insights, reporting, and data products that support data-driven decision-making across the organization.

* Please note this is a fixed-term role for a 15-month duration (mat leave coverage)

Within the BIA department, your responsibilities will span the full agile delivery lifecycle, from backlog refinement and sprint planning through execution, review, and continuous improvement. You will partner closely with BIA leadership, technical-focused analysts, and cross-functional stakeholders to ensure analytics initiatives are well-scoped, prioritized, and delivered effectively.

You will be providing support to the whole company. The breakdown of resource allotment for each function looks like:

• Retail (eComm/Brick and Mortar)/Category Management = 30%
• Supply Chain = 30%
• Logistics = 30%
• Other Functions = 10%

This role is critical in helping analytics teams navigate dependencies, balance exploratory work with delivery commitments, and continuously improve how analytics work gets done.

As a Particle (people of Article), you will have a high level of autonomy to solve challenging, meaningful problems the best way you can. That means you’re trusted to explore solutions you believe will work best (you’re the expert, after all). You’ll do all this while growing your skills within a company that is redefining the furniture industry.

The team is split into two - Business Operations and Data Operations.

The Data Operation arm focuses on data modeling, optimizing the data infrastructure, and pipelines.

Business Operations focuses on translating that data into insights and actions that drive business decisions and performance for the stakeholders listed above. The focus of this role will lean more towards Business Operations.

We are a hybrid team - you'll be in the office 3 days per week (The team is flexible on the specific days you choose to be in during the week).

• Facilitate all Scrum ceremonies, including sprint planning, daily stand‑ups, sprint reviews, and retrospectives for analytics teams
• Own BIA backlog, including refinement and prioritization. Make trade-off decisions to maximize value
• Promote agile principles while adapting practices to fit analytics workflows (e.g., exploratory analysis, data validation, experimentation)
• Track and report on sprint progress, velocity, capacity, and delivery risks

• Support analytics delivery across BI, data science, experimentation, and reporting initiatives
• Help teams manage dependencies across data engineering, product, marketing, and other cross-functional partners
• Guide teams in breaking down complex analytics initiatives into achievable, well‑scoped work
• Balance delivery commitments with the iterative and exploratory nature of analytics work

• Act as a bridge between analytics teams and business stakeholders to improve clarity, alignment, and expectations
• Facilitate clear communication around scope, timelines, trade-offs, and delivery risks
• Help stakeholders understand agile analytics delivery and set realistic expectations

• Identify and remove blockers that slow down analytics delivery (e.g., data access, unclear requirements, tooling gaps)
• Drive continuous improvement through retrospectives and actionable follow‑ups
• Support the adoption of best practices in agile analytics delivery, documentation, and workflow management

• 5-8+ years of experience as a Delivery Manager (Product Ownership and Project Management responsibilities) within an Analytics team.
• Strong understanding of data engineering, BI, and…