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Senior Data Science Manager Jobs in Calgary, AB (NOW HIRING)

Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information Systems, Data Engineering, Data Analytics, or other IT-related degree; * Strong database proficiency (e.g ...

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 ...

The Sr. Analyst, Market Data owns Capital Power's end-to-end price curve framework within the Risk ... Apply risk management systems and analytical tools (ETRM, Excel, Python, R) to build, validate, and ...

... Level Senior Manager & Summary At PwC, our people in cybersecurity focus on protecting ... Experience across cybersecurity, Data Science,AIor related disciplines (e.g.technology risk). * AI ...

... Data Science, or a related field (or equivalent practical experience) Proven track record in high ... management and automatic lifetime management techniques Strong understanding of computer ...

Knowledge of Azure SQL, Azure PostgreSQL, Oracle, or similar managed database services ... Knowledge of analytics, reporting, visualization, or data science techniques is considered an asset.

Senior Manager - Data Engineering

Calgary, AB · On-site +1

CA$120K - CA$160K/yr

As Senior Manager, Data Engineering, you'll lead a team of data and analytics engineers, plus a contractor pod, building the platforms and consumption layer that power decisions, ML and customer ...

... Manager, we are looking for an intermediate to senior level Systems Developer with a strong Java ... Working with our data science team to integrate ML/AI models into the platform. * Integrating ...

Showing results 21-40

Senior Data Science Manager information

How does a senior data science manager typically collaborate with cross-functional teams to drive business outcomes?

A Senior Data Science Manager often works closely with stakeholders from product, engineering, marketing, and business operations to align data-driven initiatives with organizational goals. They are responsible for translating complex analytical findings into actionable insights and ensuring that data science projects address real business needs. Effective collaboration requires strong communication skills, the ability to prioritize multiple projects, and fostering a culture of knowledge sharing across teams. By coordinating with various departments, Senior Data Science Managers help ensure that data-driven strategies lead to measurable business impact.

What does a senior data science manager do?

A Senior Data Science Manager leads a team of data scientists to develop analytical solutions that drive business decisions and strategy. They oversee the end-to-end process of data collection, model development, and deployment, ensuring projects align with organizational goals. Additionally, they mentor team members, collaborate with stakeholders across departments, and help set the vision for data-driven initiatives. Their role requires both technical expertise and strong leadership skills.

What are the key skills and qualifications needed to thrive as a senior data science manager, and why are they important?

To thrive as a Senior Data Science Manager, you need strong expertise in data analysis, statistical modeling, and machine learning, typically supported by an advanced degree in a quantitative field and significant experience leading data teams. Familiarity with tools such as Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization software is essential, along with knowledge of project management methodologies. Outstanding leadership, communication, and strategic thinking skills are crucial for aligning data initiatives with business goals and fostering team development. These abilities are vital for driving impactful analytics projects, delivering actionable insights, and ensuring the success of data-driven strategies within an organization.

What is the difference between Senior Data Science Manager vs Data Scientist?

AspectSenior Data Science ManagerData Scientist
CredentialsAdvanced degree (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, strategic planningAnalyzes data, builds models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareEntry to mid-level roles across industries

The main difference is that a Senior Data Science Manager oversees data teams and strategic initiatives, while a Data Scientist focuses on analyzing data and building models. The manager role involves leadership and project management, whereas the Data Scientist role is more technical and hands-on.

What cities near Calgary, AB are hiring for Senior Data Science Manager jobs? Cities near Calgary, AB with the most Senior Data Science Manager job openings:

Data Support Senior Consultant

KPMG

Calgary, AB

Full-time

Posted yesterday

New


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. 

The Central Data Support Team (CDST) is a part of the national audit center, audit support team. The CDST is tasked with implementing new technologies in the audit practice and providing digital and data & analytics services to our clients. The group works as part of a multi-disciplinary team providing and supporting KPMG proprietary and third-party data & analytics solutions to our teams. 
Support consultants will work as part of the CDST to assist clients facing teams with data extraction, transformation, and load capabilities into our various audit tools. In addition, they provide critical support with data analysis, reporting and data visualization. This work will enable us to deliver innovative solutions to our clients.

This position requires written and oral fluency in English. The successful candidate may be required to support or collaborate with English-speaking colleagues or stakeholders while at KPMG. The successful candidate may be required to create, interpret and/or apply policies, practices, laws and and/or regulations during the regular course of their employment.


What you will do
  • Work with audit engagement teams to support the use of Data and Analytics (D&A) in the performance of external audits including data acquisition, movement and transformation; utilize a range of technologies and data capabilities such as Alteryx, SQL, Python, PySpark, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake Storage, Power BI and other Azure technologies
  • Communicate the technical implications of D&A capabilities to audit engagement teams; identify issues / challenges, and provide recommendations, opportunities, and mitigation strategies
  • Work with audit engagement teams to scope D&A capabilities, review analytic results and deliver innovative solutions that enhance audit planning and execution.
  • Collaborate with client technology teams to understand ERP environments and data architecture, assess the technical implications of data acquisition and analysis, and deliver clear, wellstructured audit documentation across the D&A lifecycle, while building longterm client relationships through high-quality engagement delivery and professional networking
  • Participate in business development by identifying new opportunities and assisting with proposal development for a high-quality technology and data enabled audit

What you bring to the role
  • Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information Systems, Data Engineering, Data Analytics, or other IT-related degree;
  • Strong database proficiency (e.g., SQL, My SQL, Oracle etc.) and experience in Microsoft SQL Server technology, MSBI suite (including SQL stored procedures and data modeling) or cloud technologies (Azure suite, Databricks pipelines in Python) for financial analysis
  • SQL code scripting, including creation/implementation of API’s and debugging ability.
  • Proficiency and knowledgeable with analytics and visualization tools such as Power BI, Python, R, Alteryx, Microsoft PowerApps is preferred.
  • Knowledge of data extraction tools and utilities and aptitude to quickly learn various technologies (MS Office, ERP systems, KPMG Audit tools, client applications, Azure cloud technologies)
  • Strong communication skills (verbal and written) - ability to work with multiple stakeholders and communicate priorities/ manage expectations
  • Proven time management and organizational skills
  • Comfortable managing diverse responsibilities from day to day administrative and operational work to project and deadline driven tasks
  • Resourceful and creative problem-solving skills- you are proactive and always bring new ideas and ways of working forward
  • Ideal candidate has experience in the Accounting and/or Finance industry
    Keys to your success:
  • Ability to clearly articulate, identify and define problems and develop creative and practical solutions to address different and unique client requirements
  • Able to employ sound professional judgment and professional skepticism; flexible and adaptable team player; leadership experience; resourceful in delivering high-quality, detail-oriented deliverables; ability to demonstrate sound organization and project management skills
KPMG Ontario Region pay range information
The expected base salary range for this position is $66,500 to $101,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
 
KPMG BC Region Pay Range Information
The expected base salary range for this position is $59,500 to $94,500 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

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:
  • Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information Systems, Data Engineering, Data Analytics, or other IT-related degree;
  • Strong database proficiency (e.g., SQL, My SQL, Oracle etc.) and experience in Microsoft SQL Server technology, MSBI suite (including SQL stored procedures and data modeling) or cloud technologies (Azure suite, Databricks pipelines in Python) for financial analysis
  • SQL code scripting, including creation/implementation of API’s and debugging ability.
  • Proficiency and knowledgeable with analytics and visualization tools such as Power BI, Python, R, Alteryx, Microsoft PowerApps is preferred.
  • Knowledge of data extraction tools and utilities and aptitude to quickly learn various technologies (MS Office, ERP systems, KPMG Audit tools, client applications, Azure cloud technologies)
  • Strong communication skills (verbal and written) - ability to work with multiple stakeholders and communicate priorities/ manage expectations
  • Proven time management and organizational skills
  • Comfortable managing diverse responsibilities from day to day administrative and operational work to project and deadline driven tasks
  • Resourceful and creative problem-solving skills- you are proactive and always bring new ideas and ways of working forward
  • Ideal candidate has experience in the Accounting and/or Finance industry
    Keys to your success:
  • Ability to clearly articulate, identify and define problems and develop creative and practical solutions to address different and unique client requirements
  • Able to employ sound professional judgment and professional skepticism; flexible and adaptable team player; leadership experience; resourceful in delivering high-quality, detail-oriented deliverables; ability to demonstrate sound organization and project management skills
KPMG Ontario Region pay range information
The expected base salary range for this position is $66,500 to $101,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
 
KPMG BC Region Pay Range Information
The expected base salary range for this position is $59,500 to $94,500 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

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

Education:UNAVAILABLEEmployment Type: FULL_TIME