Location:
1685 Tech Ave, Mississauga, Ontario, L4W 0A7
About the role:
We are seeking an experienced and strategic data professional to lead a team focused on developing data products and delivering impactful analytics and insights that drive organizational success, with a particular focus on SHN's digital products and capabilities. You will oversee complex analytical initiatives where collaboration with cross-functional partners will be critical to translate business needs into data-driven strategies that support our patients, our partners, and our internal stakeholders across the SHN/SDM/LCL ecosystem. The role is both strategic and hands-on, requiring expertise in analytics, strong leadership skills, and a passion for data-driven innovation that can lead to optimization of program and specialty pharmacy performance, improvement of patient outcomes, and demonstratable value to our partners.
Key Responsibilities:
- Lead and mentor a team of data professionals focused on developing data products and delivering actionable analytics/insights for digital tools and products.
- Collaborate with cross-functional teams (eg. Product, Technology, Business, UX) to define data-driven strategies that support business objectives.
- Oversee the end-to-end lifecycle of data product development: from ideation, scoping, and requirements gathering through design, delivery, and ongoing optimization.
- Champion the use of advanced analytics, machine learning, and statistical modeling to extract insights that drive customer engagement and product performance.
- Translate complex analytical findings into clear business recommendations for executive leadership and stakeholders.
- Monitor key performance indicators (KPIs) to assess the impact of data initiatives on digital product outcomes.
- Foster a culture of innovation, experimentation, and continuous improvement within the team.
- Mentor and develop team members through coaching, feedback, and professional growth opportunities.
- Stay current with industry trends in data science, analytics platforms/technologies, and digital product measurement.
Qualifications:
- Minimum 6-7 years of data and analytics experience, preferably within the healthcare industry, and with 2+ years in a leadership capacity.
- Post-secondary education equivalent to a university degree in a numerate or analytical discipline such as Analytics, Mathematics, Computer Science, or Engineering.
- Strong proficiency with modern analytics tools (e.g., SQL, Python/R), BI platforms (e.g., Tableau/Power BI), and cloud-based data ecosystems (e.g., GCP/AWS/Azure).
- Proven track record of leading large-scale analytics initiatives with measurable business impact.
- Excellent leadership skills with the ability to build and lead high-performing teams and influence stakeholders at all levels.
- Strong strategic thinking abilities combined with a hands-on approach when needed to solve complex problems.
- Excellent communication skills with demonstrated success of presenting technical solutions and findings to senior leadership and business partners.
How You'll Succeed:
At Shoppers Drug Mart Inc., we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.
If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.
Employment Type:
Full time
Type of Role:
Regular
Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.
Hiring Range / Échelle salariale à l'embauche :
$100,000.00 - $132,000.00 / 100.000,00$ - 132.000,00$ (per year / par an)
A candidate's experience and knowledge as well as the geographical region in which the position is located may be factored into the pay a candidate receives for this position. This posting is for an existing vacancy. The Company uses artificial intelligence for the purpose of screening, assessing and/or selecting applicants for this position. / L'expérience et les connaissances d'un candidat ainsi que la région géographique dans laquelle le poste est situé peuvent être prises en compte dans la rémunération qu'un candidat reçoit pour ce poste. Cette offre d'emploi concerne un poste vacant existant. L'entreprise utilise l'intelligence artificielle dans le but de filtrer, d'évaluer et/ou de sélectionner les candidats à ce poste.
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