Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Analytics
Management Level
Senior Manager
Job Description & 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.
As anAI & Advanced Analytics, Senior Manager,unlock your potential and embrace the chance to drive meaningful outcomesthat'llelevate your career.Our AI & Advanced Analytics practice is growing, andwe'relooking for aSenior Managerto 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'lloperateas a key leader within the practice, accountable fordeliveryquality across multiple concurrent engagements, trusted advisor to clients, and an active contributor to the growth of our pipeline and our people.You'lllead AI programs end-to-end: setting up governance andoperatingmodels, directing technical teams to build and deploy AI solutions, and ensuring clients realize measurable value.
This is a client-facing role withsignificant timespent on-site or in PwC offices.The location of this role is in Calgary, Alberta.
Your role will include, butisn'tlimited to:
Lead multiple concurrent client engagements, owningdelivery 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 andoperateAI governance frameworksfor clients, including responsible AI, model risk management, data governance, and operating model design.
Build theoperational backboneof client AI programs: intake, prioritization, delivery cadences,MLOps, and performance measurement.
Provide direction to data scientists, ML engineers, and data engineers as theydesign, build, and deployproductionAI/ML solutions.
Act as a trusted advisor tosenior 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:identifyand qualify opportunities, lead proposals and RFP responses, and shape solution offerings.
Expand existing accounts byidentifyingadjacentvalueand 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.
What You'll Bring:
Your skills, knowledge, and experiences are what set you apart.Here'swhat we look for:
Experienceidentifying, 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
Demonstratedtrack recordof delivering AI/analytics solutions in real environments
Consulting experience (boutique or large firms) strongly preferred, with a profilesimilar tohigh-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 degreerequired(e.g., Computer Science, MBA, or similar)
Technical background is a plus but notrequired
This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.
The salary range for this position is $168,000 - $218,000. 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.
We'reinspiring and empowering our people to change the world. Powered by the latest technology,you'llbe 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,Metisand Inuit Peoples. We recognize the systemic racism,colonialismand oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, 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 (DIDM), 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 {+ 25 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date
April 8, 2026We'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 a repondre a 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 etre parfaitement a l'aise, faites-le-nous savoir a l'etape de la demande d'emploi.L'utilisation de l'intelligence artificielle (IA) dans le domaine du recrutement en est a ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. A certains stades de notre processus de recrutement, nous comptons sur l'IA pour ameliorer votre experience. Par exemple, pendant l'examen du curriculum vit ou l'elaboration d'une liste de recommandations personnalisees, un agent conversationnel pourrait vous demander des precisions ou fixer avec vous un rendez-vous pour l'entrevue. L'IA nous aide a mieux lutter contre les prejuges, car l'evaluation des candidats se fait de facon juste et equitable, sans que les informations d'identification comme le nom ou le sexe soient connues. Elle nous permet egalement de mieux reperer les bons candidats pour un poste et d'evaluer le lien entre leurs competences, leur experience et leurs chances de reussir chez PwC Canada. Bien que l'IA facilite certaines etapes de notre processus de recrutement, les decisions finales d'embauche sont toujours prises par des personnes. Pour en savoir plus sur l'utilisation et la protection de vos donnees personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).