What you’ll do :
Key Responsibilities
Leadership & Team Management
Lead, coach, and develop a team of technical analytics professionals (data analysts,BI developers,data scientistsand/or dataengineers), creating clarity around priorities and expectations
Foster a highperformance, collaborative team culture that balances speed, quality, and innovation‑performance, collaborative team culture that balances speed, quality, and innovation
Remove blockers, set direction, and keep the team focused on delivering value
Stakeholder Partnership & Communication
Act as the primarytranslator between business stakeholders and technical teams, ensuring shared understanding of goals, constraints, and outcomes
Partner closely with senior business leaders to understand strategic objectives and operational challenges
Clearly communicate progress, risks, trade-offs, and decisions in a concise and compelling way‑offs, and decisions in a concise and compelling way
Business Problem Translation
Translate business questions into structured data, analytics, or AI approaches, selecting the right methodology for the problem at hand
Guide the team in framing problems, defining success metrics, and designing analytical solutions that are actionable and scalable
Ensure insights and outputs are clearly tied back to business impact and decision-making‑making
Project & Delivery Management
Own end-to-enddelivery of analytics and AI initiatives, from intake through execution and release‑to‑end delivery of analytics and AI initiatives, from intake through execution and release
Manage project timelines, dependencies, and resourcing across multiple concurrent initiatives
Proactively identify risks and coursecorrectto keep work on track and aligned to business priorities‑correct to keep work on track and aligned to business priorities
Technical Direction & Quality
Lead a technical team by setting standards for analytical rigor, data quality, and solution design
Review and guide technical approaches without needing to be the hands-onbuilder‑on builder
Ensure solutions are maintainable, welldocumented, and aligned with enterprise data and AI standards‑documented, and aligned with enterprise data and AI standards
What you bring :
2+ yearsproven experience leading and managingananalytics or data science team
2+ yearsExperience supporting retail, store operations, or fieldbased organizations. Preferred candidate would have been in a hands on analyticsor data scienceroleprior‑based organizations
Strong project and delivery management experience, with a track record of meeting timelines
Excellent communication skills, with the ability to influence and align both technical and non‑technical audiences
Demonstrated ability to translate ambiguous business questions into clear data or AI approaches
Experience working with analyticsanddata platforms.Exposure to AIdriven use cases and advanced analyticsin a business environment-driven use cases and advanced analytics‑driven use cases and advanced analytics
Ability to research and learn new technologies and onboard team
Comfort operating in a fastpaced, matrixed environment with multiplestakeholders
SAFe certificationis an asset
We’re always looking for great talent! In addition to competitive pay, we offer:
Career growth opportunities and product discounts
Broadband Salary Range: $79,000.00 - 131,000.00 CAD Annual
Our typical hiring range is between $90,000.00 - 130,000.00 CAD per annum. Salary decisions are also dependent on other factors such as your experience, job-related knowledge, skills and competencies, market location, industry benchmarks, internal equity and other role-specific requirements
This posting represents an existing vacancy within our organization.
We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.