Project Manager,Digital Operations - Diabetes Care Job Mississauga area,Ontario Canada,IT/Tech

Position: Project Manager, Digital Operations - Diabetes Care )

The Opportunity

This position works in the Diabetes Care Division. We’re focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology. As the Project Manager, Digital Operations you will lead the technical and financial operations of large-scale cloud environments and SaaS platforms supporting ADC’s digital products.

In this role you will apply engineering principles, such as workload architecture, performance optimization, automation, and platform observability, to ensure that cloud services, APIs, developer platforms, and AI workloads are delivered efficiently, reliably, and within defined budget envelopes. You will also manage end-to-end cloud optimization initiatives, implements Fin Ops engineering practices, and collaborates with product, engineering, SRE, Dev Ex, and architecture teams to drive cost-efficient scalability across the Digital Solutions Group.

What You’ll Do

Cloud Architecture, Fin Ops Engineering & Optimization.

Design, implement, and operationalize Fin Ops engineering practices across AWS/GCP environments, aligning cost models with actual workload architectures and scaling patterns.

Develop and maintain technical consumption models (cost-per-API, cost-per-feature, cost-per-tenant, workload heat mapping) to guide architecture and product decisions.

Use engineering techniques (right-sizing, autoscaling policies, storage tiering, reserved/spot capacity planning) to optimize cloud performance and cost.

Analyze system architecture to identify inefficiencies and propose redesigns that improve reliability, scalability, and margin.

Technical Planning & Execution

Build operational plans integrating architectural constraints, cloud resource requirements, performance metrics, and cost budgets.

Monitor cloud and SaaS consumption through engineering telemetry tools; detect anomalies and lead root cause analysis with SRE/Platform teams.

Implement automation (IaC, CI/CD insights, serverless triggers, AI-driven anomaly detection) to reduce manual effort and increase accuracy of forecasting.

Resource Engineering & Vendor Technology Coordination

Identify and secure technical resources (compute, storage, networking, ML infrastructure) required to run digital workloads reliably and efficiently.

Evaluate SaaS tools and cloud services for architectural fit, scalability, and performance efficiency; contribute technical input during vendor selection and renewals.

Work closely with Procurement and Architecture to align technical design, licensing models, and multi-year cloud commitments.

Technical Budgeting, Forecasting & Visibility

Translate engineering roadmaps into cloud capacity plans and cost projections.

Forecast usage of platform components, APIs, analytics, and AI workloads; provide variance analysis using telemetry and performance data.

Produce engineering dashboards combining financial signals with system metrics (latency, throughput, SLO compliance, scaling curves).

Cross-Functional Technical Collaboration

Partner with Software Engineering, Digital Platform, Architecture/Dev Ex, and Digital Operations to align technical designs with performance and cost targets.

Communicate complex technical cost drivers in a simplified way for stakeholders and leadership.

Lead engineering reviews focused on cloud efficiency, workload placement, and architectural trade-offs.

Coaching & Capability Building

Mentor engineering squads on cloud cost awareness, performance engineering, and scalable design patterns.

Promote Fin Ops engineering best practices across the organization, enabling teams to build cost-efficient, high-performance digital systems.

Required Qualifications

Bachelor’s or master’s degree in computer science, Software Engineering, Information Systems, or related technical field.

Seven plus years of experience in cloud engineering, platform engineering, SRE, Dev Ops, or Fin Ops engineering within large-scale distributed systems.

Hands-on expertise with AWS and/or GCP architectures, including compute, serverless, containers,…


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