Senior Manager, Data Engineering & Services

Job Title: Senior Manager, Data Engineering & Services

Vacancies: This posting is for (1) new role.

Location: Vancouver, BC | Ottawa, ON | Toronto, ON | Calgary, AB | Halifax, NS | St John's, NL | Kelowna, BC| Prince George, BC | Victoria, BC | Montreal, QC (Detailed office location information can be found by visiting this link: https://cancer.ca/en/contact-us)

Work Model: Hybrid Work Model

Salary Band: 6 ($90,000 - $110,000 CAD)

HELP SHAPE THE FUTURE OF CANCER CARE IN CANADA

The Canadian Cancer Society works tirelessly to save lives, improve lives and drive collective action against cancer. Together with patients, volunteers, donors and communities across the country, we raise funds to invest in transformative cancer research, we provide a caring support system for everyone affected by cancer and we advocate to governments to create a healthier future for all. It takes a society to take on cancer – and the Canadian Cancer Society is leading the way

MAKING AN IMPACT

Reporting to the Director, Data Strategy & Analytics, the Senior Manager, Data Engineering & Services is a hands-on data engineering leader responsible for building and advancing the organization’s data engineering, data services, and DevOps capabilities.

This role requires deep technical expertise to deliver scalable, automated, and maintainable data integrations, data services, and DevOps solutions using modern cloud technologies and platforms. You will also collaborate with business and technical teams to design and implement data solutions that adhere to security best practices, align with data governance standards.

Strong people leadership is essential as you will lead a team of Data Engineers and Specialists, oversee operational excellence, mentor team members, and coordinate work planning and execution.

You will manage enhancements and initiatives to ensure business goals are delivered on time, within scope, and aligned with organizational priorities.

You will play a key role in fostering a data-driven, innovation-focused engineering culture that leverages emerging technologies and modern design patterns to continuously improve how data is integrated, governed, and utilized across the organization.

WHAT YOU’LL BE DOING:

Technical Leadership:

• Provide technical guidance and oversight for the design, development, and delivery of scalable, automated, and maintainable data integrations, pipelines, services and DevOps solutions
• Define and implement robust solution architectures and designs for data integrations and services, ensuring scalability and maintainability.
• Ensure engineering best practices, coding standards and quality processes are consistently applied across all data initiatives.
• Drive adoption of modern technologies, cloud platforms and design patterns.
• Foster a culture of innovation, ownership and engineering excellence

Team Management & Mentorship:

• Lead and support a team of Analytics Specialists, Integration Engineers, DevOps Engineers, Data Engineers and QA Speciaists through effective planning, resource allocation, and performance management.
• Coach, develop, and mentor team members while driving a culture of collaboration, knowledge sharing, and continuous learning.
• Recruit, onboard, and grow talent through targeted training and development initiatives.

Project Delivery & Agile Practices:

• Lead project delivery for enhancements and initiatives, ensuring business goals are achieved on time, within scope, and aligned with organizational priorities
• Champion Agile best practices - sprint planning, backlog management, iterative demos, retro review sessions and cross-team collaboration
• Partner with stakeholders to define requirements, manage risks, and ensure clear communication of progress, dependencies, and outcomes

Data Engineering & Services:

• Design, develop, and maintain metadata-driven, performant and observable pipelines for data workflows, data analytics, and business intelligence using Microsoft Fabric and Azure platform technologies
• Build and maintain data services to enable data-driven decision-making and workflow automation across the organization.
• Implement scalable data transformation processes, ensuring reliability, efficiency, and maintainability
• Work with technical and business teams to understand business requirements and translate them into technical solutions.
• Identify and mitigate risks related to data quality, integrations, governance, and analytics.
• Collaborate with data governance team to implement metadata management, data classification, sensitivity labeling, and lineage tracking
• Continuously evaluate emerging tools, frameworks and best practices to improve data engineering capabilities
• Maintain documentation for data architecture, pipelines, models, and processes in accordance with standards and governance policies

DevOps & Platform Engineering:

• Establish and enforce security best practices for data solutions, including access controls, encryption,