Détails du poste

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

Job Summary

Reporting to the Sr. Manager, Business Intelligence, we are seeking a highly skilled and experienced Business Data Modeler to join our Data and Analytics team.

As a Business Data Modeler within McKesson Specialty Health, you will play a strategic role in designing and implementing data-driven business models that support patient-centric programs and pharmacy operations. You will collaborate with cross-functional teams to build scalable data models, leveraging modern data architecture principles, and contribute to the development of both commercial and internal data products.

Location: 2300 Meadowvale Blvd, Mississauga, ON

Work Arrangement: This is a hybrid position requiring candidates to work on-site at least 2 days per week at our designated office location. The remaining days may be worked remotely, subject to team and business needs.

Specific Responsibilities

• Design, develop, and maintain scalable data models to support analytics, reporting, and data product development for patient support programs, pharmacy services, and other specialty health initiatives.
• Build and maintain scalable, efficient data models, aligned with business logic, data governance, and compliance standards.
• Apply the Medallion Architecture (Bronze, Silver, Gold layers) to structure and optimize data pipelines for analytics and reporting.
• Collaborate with data engineering teams and BI analyst to define data requirements, translate business requirements into scalable data structures, and ensure model performance and scalability.
• Translate business requirements into logical and physical data models using industry-standard data modeling tools and query languages.
• Develop and manage semantic layers and data marts to support self-service analytics and business intelligence.
• Partner with cross-functional teams to ensure data models align with business goals and regulatory requirements.
• Contribute to the development of internal and commercial data products that support strategic decision-making and operational efficiency.
• Create and maintain documentation for data models, data dictionaries, and lineage.
• Create dashboards and visualizations using Power BI to communicate insights and model outputs to stakeholders.
• Monitor and optimize the performance of business and data models, recommending enhancements based on evolving business needs and data patterns.

Minimum Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.
• 7+ years of experience in data modeling, data architecture, or data engineering roles.
• Hands-on experience with modern data platforms, including data lakes and data warehouses, with hands-on expertise in data modeling and transformation using SQL and similar tools.
• Proficiency in data visualization tools (e.g., Power BI, Tableau).

Key Competencies

• Strong understanding of relational and dimensional modeling techniques.
• Solid understanding of data warehousing concepts, dimensional modeling, and Medallion Architecture (Bronze, Silver, Gold layers).
• Familiarity working with ETL/ELT pipelines and collaborating with data engineering teams.
• Familiarity with data governance, metadata management, and data quality frameworks
• Excellent communication and stakeholder management skills.
• Ability to manage multiple priorities in a fast-paced, matrixed environment.
• Experience in the healthcare or pharmaceutical industry, especially in specialty health or patient support programs.
• Familiarity with cloud platforms and orchestration tools.
• Knowledge of Canadian biopharma landscape, supply chain, physician level data considerations, Specialty pharmacy related data intricacies, and general knowledge about Canadian healthcare data related regulatory considerations is a definite asset.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

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