Digital Operations, Senior Associate

PwC•Toronto, ON

4d•CA$84,700 - CA$134,700•Hybrid

About The Position

At PwC, our people in operations consulting specialise in providing consulting services on optimising operational efficiency and effectiveness. These individuals analyse client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and drive business performance. As an operations consulting generalist at PwC, you will possess a broad understanding of various aspects of operations consulting. You will provide comprehensive guidance and support to clients in optimising operational efficiency and effectiveness. Working in this area, you will analyse client needs, develop operational solutions, and offer recommendations tailored to specific business requirements. As a Digital Operations, Senior Associate, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. You will work closely with Managers and senior team members to translate planning and readiness questions into analytical outputs that inform decision‑making. The role emphasizes strong analytical execution, clear communication of results, and an interest in how analytics is used in real operational decisions.

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.
Candidates with military experience are encouraged to apply
Strong collaboration and communication skills, with the ability to simplify complex ideas for non‑technical audiences.
A Security Clearance is mandatory for all staff who’ll be engaged on these assignments.

Nice To Haves

Tools may include Python, R, and SQL; optimization solvers; simulation libraries; and enterprise or cloud data platforms.

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.