AI & Advanced Analytics, Senior Manager

Job Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data‑driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. The opportunity: As an AI & Advanced Analytics Senior Manager, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Our AI & Advanced Analytics practice is growing, and we’re looking for a Senior Manager to lead a portfolio of client engagements, drive business development, and help shape the direction of our AI capability in Western Canada. As a Senior Manager, you’ll operate as a key leader within the practice, accountable for delivery quality across multiple concurrent engagements, trusted advisor to clients, and an active contributor to the growth of our pipeline and our people. You’ll lead AI programs end‑to‑end: setting up governance and operating models, directing technical teams to build and deploy AI solutions, and ensuring clients realize measurable value. This is a client‑facing role with significant time spent on‑site or in PwC offices. The location of this role is in Calgary, Alberta.

Responsibilities

• Lead multiple concurrent client engagements, owning delivery quality, commercial performance, risk, and client satisfaction.
• Direct full‑lifecycle AI programs—from use case identification and prioritization through model development, deployment, and value realization.
• Establish and operate AI governance frameworks for clients, including responsible AI, model risk management, data governance, and operating model design.
• Build the operational backbone of client AI programs: intake, prioritization, delivery cadences, MLOps, and performance measurement.
• Provide direction to data scientists, ML engineers, and data engineers as they design, build, and deploy production AI/ML solutions.
• Act as a trusted advisor to senior client executives, shaping AI strategy and translating it into actionable roadmaps.
• Manage senior stakeholder relationships across business, technology, and risk functions, aligning competing priorities and driving outcomes.
• Communicate complex technical concepts to non‑technical audiences with clarity and credibility.
• Contribute to the practice’s commercial agenda: identify and qualify opportunities, lead proposals and RFP responses, and shape solution offerings.
• Expand existing accounts by identifying adjacent value and bringing the right PwC capabilities to the table.
• Contribute to thought leadership, points of view, and go‑to‑market assets that strengthen our market position.
• Lead, coach, and develop managers, consultants, and technical specialists across your engagements.
• Provide performance feedback, mentorship, and career sponsorship as part of PwC’s coaching culture.
• Contribute to recruiting, onboarding, and capability building within the practice.

Qualifications

• Experience identifying, prioritizing, and delivering AI/advanced analytics use cases end‑to‑end.
• Experience building and running AI programs, including governance and strategy/operations components.
• Proven ability to work with senior stakeholders (including C‑suite) to define business outcomes from AI initiatives.
• Strong client‑facing and delivery experience, working across both business and technical teams.
• Demonstrated track record of delivering AI/analytics solutions in real environments.
• Consulting experience (boutique or large firms) strongly preferred, with a profile similar to high‑performing consultants.
• Ability to translate business problems into scalable AI use cases and drive execution.
• Experience coordinating cross‑functional teams to implement and deploy solutions.
• Preferred industry exposure to utilities & energy or public sector (nice‑to‑have, not mandatory).
• Master’s degree required (e.g., Computer Science, MBA, or similar).
• Technical background is a plus but not required.

Optional Skills

• Accepting Feedback
• Active Listening
• Analytical Thinking
• Artificial Intelligence
• Big Data
• C++ Programming Language
• Coaching and Feedback
• Communication
• Complex Data Analysis
• Creativity
• Data‑Driven Decision Making
• Data Engineering
• Data Lake
• Data Mining
• Data Modeling
• Data Pipeline
• Data Quality
• Data Science
• Data Science Algorithms
• Data Science Troubleshooting
• Data Science Workflows
• Deep Learning
• Embracing Change
• Emotional Regulation

Additional Information

Travel Requirements: Not Specified.

Available for Work Visa Sponsorship: No.

Government Clearance Required: No.

Salary range: $168,000 - $218,000.

Equal Opportunity Employer

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.

Learn more about our application process and total rewards package at https://jobs-ca.pwc.com/ca/en/life-at-pwc.

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. 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 at 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 à https://www.pwc.com/fr/privacy-policy.html.

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