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Manager Data Analytics Engineer Jobs in Calgary, AB

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As anAI & Advanced Analytics, Senior Manager,unlock your potential and embrace the chance to drive ...

New

... metrics and data Engineering that drive and enable BI and analytics to support over 15,000 ... We are seeking a motivated and skilled Data Management Professional with hands-on experience in ...

New

Develop and manage our central data warehouse in Google BigQuery . * Design and implement data ... Build reliable transformation workflows that support analytics, reporting, and data science ...

BA'S

Calgary, AB · On-site

... project teams, data engineers, architects, and analytics specialists to define business ... Contribute to business cases and roadmap development. * Assist with change management and user ...

Machine Learning Engineer Calgary, AB, Canada Full-time Company Description Viridien is a global ... Plan and manage data analysis workflows. * Create charts, graphs, maps, and data visualization ...

The engineer works closely with IVR Engineers, Application Architects, DevOps, and Data Analytics teams to ensure correct data storage, availability, and consistency for call flows, routing logic ...

The Sr. Data and Reporting Analyst will be responsible for owning the design, delivery, and ... Bachelor's degree in business analytics, management analytics, math, statistics, computer science ...

Bachelors degree in Business, Commerce, Economics, Data Analytics, or a related field * CRM or Revenue Operations certifications (e.g., Salesforce Administrator, HubSpot Certifications) are ...

You will work closely with Data Engineers, domain experts, and cross-functional stakeholders to build scalable analytical products and deliver value through iterative MVP-based releases. Key ...

Environmental Data Manager

Calgary, AB · On-site

CA$70K - CA$90K/yr

We are SLR Consulting (Canada), an 800+ team of advisory, environmental/engineering, and regulatory ... Experience in environmental field sampling, chemistry, analytical data validation, groundwater ...

Canadian Natural is looking for a Data Engineer to support and enhance our enterprise Databricks ... You will work closely with Data Analysts, Data Scientists, Business Systems Analysts, and platform ...

... analytics solutions and advisory services to high-growth organizations, managing and supporting a diverse team consisting of data scientists, data architects, software developers, information ...

As Manager, Information Services, you'll lead a multidisciplinary team of data engineers, analysts, and AI specialists responsible for building and maintaining the data systems, pipelines, and ...

We are committed to driving impactful changes through data analytics and technology, harnessing our ... manage multiple projects and deadlines across varied clients. Benefits of Working at Olsen ...

You will own the feature engineering process and deploy models that proactively solve customer ... ML Development & Lifecycle Management: Develop and deploy ML models (churn prediction, anomaly ...

We are committed to driving impactful changes through data analytics and technology, harnessing our ... manage multiple projects and deadlines across varied clients. Benefits of Working at Olsen ...

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Showing results 1-20

Manager Data Analytics Engineer information

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a Manager Data Analytics Engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are the most commonly searched types of Data Analytics Engineer jobs in Calgary, AB? The most popular types of Data Analytics Engineer jobs in Calgary, AB are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Calgary, AB? For Manager Data Analytics Engineer jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Calgary, AB look for? The top searched job categories for Manager Data Analytics Engineer jobs in Calgary, AB are:
AI & Advanced Analytics, Senior Manager

AI & Advanced Analytics, Senior Manager

PwC

Calgary, AB • On-site

CA$168K - CA$218K/yr

Full-time

Posted 2 days ago


PwC rating

8.4

Company rating: 8.4 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

19th of 57 rated business consultants


Job description

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.

The Opportunity:

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.

Whyyou'lllove PwC

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).

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