Position title: Agile Delivery Lead

Location: Toronto, ON

Agile Delivery Leads are Scrum Masters and Coaches who play a critical role in leading a product team to optimize and deliver. Collaborating with fellow Agile Delivery Leads and cross-functional team leaders, you will drive agile transformation and deliver value in partnership with Digital GBU product teams.

📌 Note: This role is known internally as Agile Delivery Lead and externally/industry-standard as Scrum Master.

Who excels in this role: You're a self-starter who thrives with autonomy and takes initiative without waiting for direction. You have a natural curiosity about waste and inefficiency-and you act on it. You're comfortable in ambiguity, approach challenges with data-driven thinking, and empower teams as a coach rather than a director. You use AI tools responsibly as aids to enhance your work, not replacements for critical thinking. If continuous improvement is a daily practice for you, you'll thrive here.

Main Responsibilities:

• Lead your Scrum team with a servant leadership approach, empowering members to self-organize and take ownership
• Support the Product Owner in managing the backlog
• Run all Scrum team ceremonies throughout each sprint (daily standup, sprint planning, sprint demos, retrospectives, and backlog refinements)
• Coach the Scrum team in Scrum and, where relevant, Agile at scale practices
• Remove impediments and foster an environment for high-performing team dynamics, continuous flow, and relentless improvement
• Champion consistent and effective Scrum principles and practices across all teams working on complex commercial data products
• Bridge communication and collaboration across Scrum teams, Product Owners, and stakeholders
• Develop and deliver training sessions and workshops on Agile practices tailored to the Digital GBU products context
• Establish and evolve visual management systems (Kanban boards, burndown charts), leveraging data analytics to track performance and surface improvements
• Facilitate cross-functional collaboration on data products, adapting agile practices for exploratory work and data quality iterations
• Build team environments where members feel comfortable raising impediments, sharing failures as learning opportunities, and challenging assumptions constructively
• Take ownership of agile transformation efforts, collaborating across teams and driving initiatives with minimal oversight
• Drive continuous improvement by identifying and eliminating waste in product development, coaching teams on lean principles, and aligning improvements with organizational goals

About You

Experience & Qualifications:

• Bachelor's degree; Preferably in Life Sciences, Computer Science, Engineering, Business, or a related field
• Certification as a Scrum Master or Agile Coach-preferably from "Scrum.org" or another industry recognizable accreditation
• Minimum 4 years of experience as a Scrum Master
• Strong understanding of Agile frameworks (Scrum, Kanban, SAFe, etc.)
• Experience with Agile project management tools (e.g., Jira, Confluence)
• Experience with AI tools used in the execution of Scrum (e.g., Rovo, Claude, Cursor)
• Proven success working with Product Owners and development teams to scale products across multiple countries and stakeholders
• Track record of success as a Scrum Master in complex environments
• Excellent communication and interpersonal skills
• Strong problem-solving and conflict-resolution skills
• Demonstrated lean mindset with practical experience applying lean principles to agile implementation, focusing on waste elimination and continuous flow
• A commitment to staying current with industry trends and best practices in Agile, Scrum, and Lean, particularly as they apply to commercial and analytics products

Qualifications That Are a Plus:

• Knowledge of Pharma Commercial Data domains (sales data, market access, patient analytics, HCP engagement data) and associated regulatory and privacy considerations---looks like you did have a sentence that speaks to pharma commercial data
• Experience working in a Data Mesh paradigm, understanding domain-oriented data ownership and federated governance principles
• Experience applying Agile methodologies to data analytics, data science, or business intelligence projects
• Familiarity with lean tools and techniques such as 5S, Kaizen events, A3 problem solving, or similar continuous improvement methodologies

Job-Specific Skills & Competencies:

• Lean and Agile practices (intermediate)
• Service Management (intermediate)
• Modern Operations and Continuous Improvement (intermediate)
• Portfolio Management (beginner)
• Financial Planning (beginner)
• Vendor Management (intermediate)
• Strategy and Governance (beginner)
• Application Design and Integration (intermediate)
• Compliance of Computerized Systems (intermediate)

Transversal Skills & Competencies:

• Leadership (beginner)
• Team Management (beginner)
• Interpersonal Communication (intermediate)
• Transversal Collaboration (intermediate)
• Strategic Thinking (intermediate)
• Critical Thinking (advanced)
• Negotiation (intermediate)
• Decision Making (advanced)
• Problem Solving (advanced)
• Business Acumen (beginner)
• Change Management (intermediate)
• Business Partnership (intermediate)

Why Choose Us?

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs.

This position is for a new vacant role that is now open for applications.

AI Usage

"Artificial Intelligence" refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company's Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada's Privacy Officer via Sanofi's data subject request portal, Data Subject Rights Webform. The Data Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint.

The salary range for this position is:
100,500.00 - 150,500.00 (Includes target bonus)
Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefits programs, and additional benefits information can be found through the (CA)LINKOR (US) LINK.

La fourchette salariale pour ce poste est la suivante:
100,500.00 - 150,500.00 (Comprend le bonus cible)
La rémunération finale sera déterminée en fonction de l'expérience démontrée, des compétences, du lieu de travail et d'autres facteurs pertinents. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise, et des informations supplémentaires sur les avantages sociaux peuvent être trouvées via le lien