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About the Role
As a Digital Operations Senior Associate, you will support client engagements focused on complex operations and planning decision-making in highly constrained, mission-critical environments. This role contributes to analytical delivery and broader modernization efforts, including process, data, reporting, and system-enabled improvements. You will translate planning and readiness questions into analytical outputs that inform decision-making, emphasizing strong analytical execution, clear communication of results, and an interest in how analytics is used in real operational decisions.
Responsibilities
- Support structuring of operational, logistics, and planning challenges as analytical problems under uncertainty.
- Contribute to analysis of trade-offs involving capacity, inventory, risk, service levels, and timing.
- Apply quantitative techniques with appropriate rigor based on guidance from senior team members.
- Build and support quantitative analyses including Supply chain network and flow analysis, Inventory planning under uncertainty, Capacity, throughput, and bottleneck analysis, Scenario and probabilistic analysis using simulation.
- Support model testing, sensitivity analysis, and validation to ensure outputs are reliable and decision-relevant.
- Develop and maintain analytics code, models, and supporting documentation.
- Work with data from multiple systems and sources.
- Support documentation of business rules, data requirements, process flows, and reporting logic.
- Follow governed, auditable analytics and documentation practices.
- Work collaboratively within project teams to deliver high-quality analytical outputs.
- Support preparation of materials and insights for client discussions.
- Proactively flag data, modelling, or assumption risks to senior team members.
- Work effectively with both business and technical stakeholders.
Requirements
- Degree in operations, industrial/systems engineering, computer science, or a closely related quantitative field.
- A minimum of 5 years of experience in a relevant field.
- Experience applying quantitative or analytical techniques to operations, supply chain, or planning problems in defense, manufacturing, or other asset-intensive industries.
- Strong analytical and problem-solving skills with attention to data quality and assumptions.
- Familiarity with enterprise platforms, system integration concepts, data architecture, and digital workflow enablement is an asset.
- Strong collaboration and communication skills, with the ability to simplify complex ideas for non-technical audiences.
Skills
- Python
- R
- SQL
- Optimization solvers
- Simulation libraries
- Enterprise or cloud data platforms
- Analytical Thinking
- Business Data Analytics
- Business Performance Metrics
- Business Transformation
- Communication
- Logistics Management
- Management Consulting
- Manufacturing Operations Management
- Operating Effectiveness Review
- Operational Excellence
- Operational Performance Management (OPM)
Location
- Hybrid
Work Type
- Hybrid
- Full-time
Experience Level
- Senior Associate
- 5 years of experience
Education Level
- Degree in operations, industrial/systems engineering, computer science, or a closely related quantitative field.
Salary/Compensations
- $84,700 - $134,700
Benefits
- Competitive compensation package
- Inclusive benefits
- Flexibility programs
- Variable incentive pay programs
About the Company
- At PwC, our people in operations consulting specialize in providing consulting services on optimizing operational efficiency and effectiveness.
- We are inspiring and empowering our people to change the world.
- Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes.
- This meaningful work, and our continuous development environment, will take your career to the next level.
- PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples.
- We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.
Equal Opportunity
- We’re committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.
- The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).
- Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.
- L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience. Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. L’IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes. Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).