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Director, Data Engineering
Sleep CountryDirector, Data Engineering leading the enterprise data platform strategy across business units at Sleep Country Canada. Ensuring reliable data for reporting, analytics, and decision-making while enhancing team efficiency.
About the role
Key responsibilities & impact- Lead, coach, and mentor a high-performing team, setting clear expectations and providing ongoing development to ensure alignment and achievement of key business objectives.
- Own and evolve enterprise data platforms across all business units, ensuring scalability, reliability, and alignment to business and technology strategies.
- Define and enforce standardized data models, KPI definitions, and business logic across all reporting and analytics platforms, enabling a consistent and trusted view of business performance.
- Own the enterprise reporting platform strategy, including tooling, platform governance, vendor relationships, and cost management, ensuring solutions are standardized, cost-effective, and aligned with business needs.
- Improve data delivery velocity by establishing scalable engineering practices, development standards, and automation across data teams.
- Establish and maintain pragmatic data quality, governance, and monitoring practices to ensure data is accurate, reliable, and transparent across the organization.
- Partner with Business Intelligence (Store Operations), Digital, Finance, Supply Chain, and Operations teams to deliver high-quality data products aligned to business needs.
- Operational Excellence and Continuous Improvement - Improve reporting delivery processes, data quality monitoring, issue resolution, and service levels for reporting availability and accuracy.
Requirements
What you’ll need- Bachelor’s Degree in Data Analytics, Computer Science, Business, Information Systems, or related field.
- 10+ years progressive experience in business intelligence, analytics, reporting, data engineering or data enablement. Experience in retail is a definite asset.
- 5+ years of experience leading and developing BI, reporting, or analytics teams.
- Proven leadership experience with the ability to coach and scale teams fostering a culture of accountability, collaboration and continuous improvement.
- Strong experience with BI tools, including PowerBI, & Qlik; experience with Domo or other modern BI platforms is an asset.
- Experience working with retail data domains, including sales, inventory, customer, finance, digital, and supply chain.
- Strong understanding of data models, data warehousing, data pipelines, and how BI depends on trusted data engineering practices.
- Experience implementing data governance frameworks, data quality management and solutions.
- Strong stakeholder management skills with the ability to influence senior leaders and translate business needs into scalable data solutions.
- Experience managing vendor relationships including contract negotiation, performance management, and cost optimization.
- Excellent communication, organization, influencing, negotiation, and time management skills with ability to work in fast-paced environment with changing priorities.
Benefits
Comp & perks- Full medical, dental benefits and a Deferred Profit Sharing Program
- Annual Wellness Credit of up to $250.00 for any products/services that improve your health and well-being, i.e., health assessments, nutrition counselling, hiking shoes, a yoga outfit or fitness equipment!
- Associate Discount Program where you will be able to enjoy some of the world’s best sleep products
- Maternity/Parental leave top up benefits
- Tuition Reimbursement Program that covers professional AND personal development
- Long service awards, celebrations and other social events
- Associate Referral Program
- Paid day off to volunteer at your local charity of choice
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analyticsbusiness intelligencereportingdata engineeringdata governancedata quality managementdata modelsdata warehousingdata pipelinesautomation
Soft Skills
leadershipcoachingcollaborationaccountabilitycontinuous improvementstakeholder managementinfluencingcommunicationorganizationnegotiation