Technical Project Manager-Data Operations
Role Overview
Hands-on Technical Project Manager leading daily work for the Product Data team at AutoShack Auto Parts in Kanata, Ontario.
The role prioritizes management and project delivery, with enough technical understanding to investigate data issues and work with technical staff.
This is a full-time, permanent role at 40 hours per week.
Key Skills for This Role
Full Job Posting
Role overview
Hands-on Technical Project Manager leading daily work for the Product Data team at AutoShack Auto Parts in Kanata, Ontario.
The role prioritizes management and project delivery, with enough technical understanding to investigate data issues and work with technical staff.
This is a full-time, permanent role at 40 hours per week.
Workplace and schedule
- 100% onsite in Kanata, Monday through Friday; the posting explicitly excludes remote and hybrid work.
- Candidates must already live within reasonable daily commuting distance or reliably commute or relocate before starting.
Responsibilities
- Manage the Product Data team work queue, including Kanata and offshore staff; set priorities, owners, and due dates and follow work through completion.
- Manage multiple projects, remove blockers, escalate issues, and report progress to management.
- Track backlog, errors, rework, and data-quality problems; investigate recurring issues and root causes.
- Use SQL, databases, and Excel to review, compare, validate, and troubleshoot product data.
- Work with product, catalogue, fitment, SKU, CSV, XML, and JSON data.
- Coordinate with IT, purchasing, e-commerce, customer service, warehouse, and other departments.
- Maintain procedures, training materials, and controls; identify repetitive work for automation or AI improvement.
Required qualifications
- At least 3 years managing or coordinating projects, workflows, operations, or a team, including assigning work and following up.
- Completed bachelor's degree in computer science, information systems, engineering, mathematics, statistics, business analytics, or a closely related field.
- Working SQL skills and solid understanding of relational databases, structured data, and data quality.
- Advanced Excel, including PivotTables, lookups, formulas, large datasets, and reconciliation.
- Strong project-management, organization, follow-through, troubleshooting, root-cause analysis, attention to detail, and judgment.
- Strong written and spoken English and ability to communicate instructions to technical and non-technical staff.
Assets
- Python, scripting or automation; Power BI; ERP/PIM/MDM systems; and Jira/Agile/Scrum are strong assets.
- E-commerce, marketplace, product catalogue, master-data, automotive fitment, or offshore/remote staff coordination experience is an asset.
Pay
- Pay is $41–$50 per hour.
Benefits
- Benefits include dental care, extended health care, onsite parking, and vision care.
Selection process
- Selected applicants complete a 45–60 minute TestGorilla assessment before an interview.
- Assessment topics include SQL and database knowledge, Excel and data analysis, project and team-management judgment, problem-solving, attention to detail, and written communication; Python/automation is a bonus area, not a pass/fail requirement.
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