Project Manager, Digital Operations Diabetes Care (Mississauga)

JOB DESCRIPTION:

About Abbott

Abbott is a global healthcare leader creating breakthrough science to improve peoples health. Were always looking towards the future anticipating changes in medical science and technology.

Working at Abbott

At Abbott you can do work that matters grow and learn care for yourself and family be your true self and live a full life. You will have access to:

Career development with an international company where you can grow the career you dream of.

A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.

A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity working mothers female executives and scientists.

The Opportunity

This position works in the Diabetes Care Division. Were focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. Were 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 ADCs digital 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 FinOps engineering practices and collaborates with product engineering SRE DevEx and architecture teams to drive cost-efficient scalability across the Digital Solutions Group.

What Youll Do

Cloud Architecture FinOps Engineering & Optimization.

• Design implement and operationalize FinOps 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/DevEx 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 FinOps engineering best practices across the organization enabling teams to build cost-efficient high-performance digital systems.

Required Qualifications

• Bachelors or masters degree in computer science Software Engineering Information Systems or related technical field.

• Seven plus years of experience in cloud engineering platform engineering SRE DevOps or FinOps engineering within large-scale distributed systems.

• Hands-on expertise with AWS and/or GCP architectures including compute serverless containers storage networking identity and managed services.

• Strong understanding of cloud cost drivers from an engineering perspective including workload placement autoscaling patterns caching layers data lifecycle API design and observability.

• Experience with infrastructure-as-code (Terraform CloudFormation) and CI/CD systems to implement automated cost and performance controls.

• Ability to analyze and optimize system architectures using telemetry logs profiling tools and cloud-native monitoring solutions.

• Proficiency in scripting or programming languages (Python Go TypeScript or similar) to build automation reporting pipelines and optimization tooling.

• Experience evaluating SaaS and cloud vendor technologies for scalability reliability security and architectural fit.

• Strong analytical and modeling skills able to translate technical workloads into accurate forecasts and consumption models.

• Excellent collaboration skills working closely with backend SRE platform architecture and product engineering teams.

• Ability to present complex technical and financial insights in clear actionable narratives for both engineering and leadership audiences.

Preferred Qualifications

Preferred technical certifications:

• AWS Certified Solutions Architect (Associate or Professional)

• AWS Certified SysOps Administrator or DevOps Engineer

• GCP Professional Cloud Architect or Cloud DevOps Engineer

• FinOps Certified Practitioner or Advanced Practitioner

• CKA or CKAD (Kubernetes certifications)

• Terraform Associate Certification

Additional useful credentials:

• Certifications in cloud security SRE practices or observability tooling.

• Training or certification in financial modeling for cloud environments or SaaS economic analysis.

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer committed to employee diversity. Connect with us at on Facebook at and on Twitter @AbbottNews and @AbbottGlobal.

The base pay for this position is

In specific locations the pay range may vary from the range posted.

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