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Data Manager Jobs in Calgary, AB (NOW HIRING)

As a Data Science Manager, you will play a key role in leading the delivery, building capabilities, and pursuing new data science opportunities in high-growth areas including retail analytics ...

The impact you'll make and what we'll accomplish together As the Data & Trust Manager (Privacy & AI), you will materially influence the ongoing development of TELUS' business innovation focused on ...

We are seeking a motivated and skilled Data Management Professional with hands-on experience in Google Cloud Platform (GCP) and BigQuery (BQ) to join our dynamic team. The ideal candidate will have a ...

This is an excellent opportunity for a student or early-career professional looking to gain hands-on experience in data management, data governance, business systems, and digital transformation. This ...

A DCEO Manager is one of our most senior management roles in the data center environment. In this role you will be responsible for leading an organization, managing Managers and/or Facility Managers ...

... his data centers in AWS Cloud region. They are self-managed individuals who demonstrate initiative mindset, proactively seeks solutions to problems and strives for operational excellency. This ...

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Showing results 1-20

Data Manager information

See Calgary, AB salary details

$26.5K

$86.1K

$197K

How much do data manager jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data manager in Calgary, AB is $86,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What is the salary of a data manager?

The salary of a data manager typically ranges from $70,000 to $120,000 annually, depending on experience, industry, and location. Professionals with advanced skills in database management, data analysis, and familiarity with tools like SQL or Python tend to earn higher salaries.

What is a Data Manager?

A Data Manager is a professional responsible for overseeing the collection, storage, organization, and safeguarding of data within an organization. They ensure that data is accurate, accessible, and secure, often working with databases and data management systems. Data Managers also develop data policies, maintain data quality, and support teams in using data effectively for decision-making. Their role is crucial in industries where large volumes of information are handled, such as healthcare, finance, and research.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What Is a Data Manager?

A data manager is responsible for creating and managing databases that meet the specific needs of a company or organization. As a data manager, your job duties include assessing customer database requirements, modifying the structure of existing databases, and handling the backup and recovery of older systems. You should have experience working with many database system varieties and large volumes of customer records. You can find data manager positions in a wide range of industries.

What jobs pay 200,000 a year in the USA?

Data managers typically do not earn $200,000 annually unless they hold senior or specialized roles such as Director of Data or Chief Data Officer, which require extensive experience, advanced skills in data analysis and management tools, and often leadership responsibilities. High-paying roles in data management are usually found in large corporations or industries like finance, technology, and healthcare. Salary levels depend on experience, education, certifications, and the size of the organization.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

How does a Data Manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
What are the most commonly searched types of Data jobs in Calgary, AB? The most popular types of Data jobs in Calgary, AB are:
What job categories do people searching Data Manager jobs in Calgary, AB look for? The top searched job categories for Data Manager jobs in Calgary, AB are:
What cities near Calgary, AB are hiring for Data Manager jobs? Cities near Calgary, AB with the most Data Manager job openings:
Infographic showing various Data Manager job openings in Calgary, AB as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $86,113 per year, or $41.4 per hour.
Senior Manager, Data Analytics & Automation-Data Modernization

Senior Manager, Data Analytics & Automation-Data Modernization

KPMG

Calgary, AB

Full-time

Posted 22 days ago


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

KPMG’s Management Consulting practice helps organizations leverage change. The Data, Analytics and Automation team helps organizations unlock value from data and AI by enabling data-informed decision-making through strategy, governance, and operating model design in complex enterprise environments. 

We help organizations to become data driven! Will you collaborate with us?  

Our Team 
As a Senior Manager in Data, Analytics and Automation, you will be a part of our Technology Consulting (Data, Analytics and Automation) practice within KPMG. This is a worldwide network of professionals who collaborate on a daily basis to create value from data. Enterprise Data Management integrates and is the connecting link with other data focused advisory services including Business Intelligence, Advanced Analytics, Digital Transformation, Enterprise Solutions and Data Security. We collaborate across service offerings on data driven solutions. And that is why Forrester Research has recently recognized KPMG as one of the most prominent advisory firms in Data & Analytics! 

The successful candidate will lead data modernization strategy and transformation engagements, helping organizations define how data is governed, managed, and leveraged as a strategic asset. 

This role focuses on strategy, design, and advisory. You will work closely with executive stakeholders to define data visions, operating models, and governance frameworks that enable scalable and sustainable data capabilities. 


What you will do
  • Lead the development of enterprise data strategies, roadmaps, and transformation plans  
  • Define and design data operating models (e.g., federated, domain-based, data product-oriented)  
  • Establish data governance frameworks, including ownership models, stewardship structures, and decision rights  
  • Design data management capabilities including metadata, lineage, data quality, and master data management  
  • Advise on data platform modernization (e.g., Databricks, cloud ecosystems) at a strategic and architectural level  
  • Facilitate executive workshops to align on data vision, priorities, and investment cases  
  • Define data product strategies and support domain-oriented data ownership models  
  • Ensure alignment between business objectives and data capabilities  
  • Provide thought leadership on regulatory and risk considerations (e.g., privacy, financial reporting, data controls)  
  • Lead stakeholder engagement and communicate complex data concepts to business and technical audiences  
  • Support the development of new data advisory offerings and go-to-market strategies  
  • Mentor and develop team members across data strategy, governance, and transformation 

What you bring to the role
  • University degree in computer science, information management, business administration, or a related field  
  • 10+ years of experience in data strategy, data governance, or enterprise data management in a consulting role 
  • Proven experience leading data transformation or modernization initiatives  
  • Strong understanding of data governance frameworks, operating models, and data management practices  
  • Experience advising on modern data platforms (e.g., Databricks, Snowflake, cloud ecosystems) at a conceptual level  
  • Strong ability to engage and influence senior stakeholders and executives  
  • Excellent communication skills with the ability to translate complex data concepts into business value  
  • Experience in financial services or insurance is considered an asset  
  • Familiarity with regulatory environments (e.g., data privacy, financial reporting) is considered an asset 
  • DCAM or DAMA certification is considered an asset 

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • University degree in computer science, information management, business administration, or a related field  
  • 10+ years of experience in data strategy, data governance, or enterprise data management in a consulting role 
  • Proven experience leading data transformation or modernization initiatives  
  • Strong understanding of data governance frameworks, operating models, and data management practices  
  • Experience advising on modern data platforms (e.g., Databricks, Snowflake, cloud ecosystems) at a conceptual level  
  • Strong ability to engage and influence senior stakeholders and executives  
  • Excellent communication skills with the ability to translate complex data concepts into business value  
  • Experience in financial services or insurance is considered an asset  
  • Familiarity with regulatory environments (e.g., data privacy, financial reporting) is considered an asset 
  • DCAM or DAMA certification is considered an asset 

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME