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Added 11 mins ago
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Localization Technical Program Manager
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Added 27 mins ago
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Added 27 mins ago
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PwC Canada

Consulting Operations, Manager (Bilingual FR/EN)

Montreal, QC, Canada

Pay: The salary range for this position is $116,100 - $166,100.
Job type: Full-time
Apply by: Oct 23, 2026
Experience: Minimum of 7 years of relevant experience in manufacturing, supply chain, operations improvement, digital transformation, analytics, or consulting.
Posting language: English
Posted: Sep 23, 2026

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Original job description

At PwC, our people in operations consulting specialize in providing consulting services on optimizing operational efficiency and effectiveness. These individuals analyze client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and drive business performance. We are seeking an experienced professional to support client engagements focused on complex manufacturing operations in highly constrained, mission‑critical environments. This role helps design and embed decision‑support capabilities that combine quantitative rigor with operational judgment, process understanding, and digital enablement.

The Opportunity:

As a Consulting Operations, Manager, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t limited to:

Decision Framing

Structure complex demand, supply, production, and logistics challenges as decision problems under uncertainty.
Evaluate trade-offs across capacity, inventory, service levels, fill rate, yield, waste, cost-to-serve, and working capital.
Apply the right level of analytical rigor based on decision criticality, data quality, business impact, and time constraints.

Applied Modelling, Lean Six Sigma and Operational Improvement

Apply quantitative and operational improvement techniques, including supply chain network design, production scheduling, line balancing, throughput and constraint analysis, OEE improvement, capacity planning, and yield/loss and waste modelling.
Apply knowledge of Lean, Six Sigma, and continuous improvement methodologies to identify operational inefficiencies and support performance improvement opportunities.
Translate analytical outputs into practical manufacturing and supply chain recommendations.
Develop decision-ready insights that support operating model design, performance improvement, and implementation planning.

Technology & Tools

Embed analytics into scalable decision-support solutions and digital workflows.
Work with technical teams to define data flows, KPI/reporting logic, solution requirements, and integration points across systems such as ERP, MES, CMSS, WMS, and TMS, where applicable.
Identify and support the deployment of innovative AI-enabled solutions, including LLM-based and agentic AI use cases in manufacturing operations, with appropriate governance, explainability, and business alignment.

Team & Client Leadership

Lead and coach project teams, oversee work quality, and resolve delivery issues.
Engage directly with client stakeholders to align insights, solution design, and recommendations with business needs.
Communicate complex operational and analytical concepts clearly to both technical and non-technical audiences.
Work effectively across business, operations, technology, and analytics stakeholder groups.

What You'll Bring

Your skills, knowledge, and experiences are what set you apart. Here's what we look for:

Degree in operations management, industrial engineering, supply chain management, engineering, business, or a related field.
Lean Six Sigma certification, such as Yellow Belt, Green Belt, Black Belt, or equivalent, is considered an asset.
Minimum of 7 years of relevant experience in manufacturing, supply chain, operations improvement, digital transformation, analytics, or consulting.
Industry Expertise: Experience applying quantitative analysis, operational improvement, or digital solutions to supply chain, manufacturing, or complex planning problems in Consumer Products/CPG, Food & Beverage, Aerospace, or other industrial manufacturing environments.
Demonstrated ability to bridge operational context and analytics.
Prior experience managing small teams and contributing to client‑facing engagements.
Familiarity of enterprise platforms, system integration concepts, Ai, data architecture, and digital workflow enablement is an asset.
The successful candidate requires fluency in English, in addition to French as they will be required to support or collaborate with English-speaking clients, colleagues and/or stakeholders during the course of their employment with PwC Canada

This position ensures continuity and upholds our standards of excellence following the departure of a valued team member.

The salary range for this position is $116,100 - $166,100. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Why you’ll love PwC

We’re 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. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc

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.

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). 744361WD

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More about this job

Responsibilities

Structure complex manufacturing, supply, and logistics challenges as decision problems, then apply quantitative modelling and operational improvement methods to develop practical recommendations. Lead and coach project teams, engage client stakeholders, and help embed analytics and AI-enabled decision support into digital workflows and enterprise systems.

Requirements

A degree in operations management, industrial engineering, supply chain management, engineering, business, or a related field is required, and Lean Six Sigma certification is an asset. Candidates need at least seven years of relevant experience, manufacturing or supply chain expertise, the ability to connect operational context with analytics, client-facing experience, team management experience, and fluency in English and French.

Skills

Operations Consulting
Manufacturing Operations
Supply Chain Management
Quantitative Analysis
Decision Framing
Operational Improvement
Lean Six Sigma
Supply Chain Network Design
Production Scheduling
Capacity Planning
OEE Improvement
Data Architecture
Digital Workflow Enablement
AI Solutions
Client Engagement
Team Leadership

Benefits

Inclusive Benefits
Flexibility Programs
Variable Incentive Pay

Visa sponsorship

Not detected in the job text

Keywords

Operations Consulting
Manufacturing Operations
Supply Chain
Demand Planning
Production Scheduling
Logistics
Decision Support
Quantitative Analysis
Supply Chain Network Design
Line Balancing
Throughput Analysis
Constraint Analysis
OEE
Capacity Planning
Yield And Waste Modelling
Lean
Six Sigma
Continuous Improvement
ERP
MES
CMSS
WMS
TMS
Artificial Intelligence
Large Language Models
Agentic AI
Data Architecture
Digital Workflows
KPI Reporting
Consumer Products

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