1

Data Ops Manager Jobs in Ontario (NOW HIRING)

Leaders who support your development through coaching and managing opportunities. * Ability to make ... Ops, Amazon SageMaker, Apache Hadoop, Apache Kafka, Apache Spark, AWS Cloud Computing, AWS Glue ...

RQ00699 - Sr. Program Manager

Orillia, ON · Hybrid

CA$105.92 - CA$127.10/hr

Alignment with OPS standards. Nice to have: * Public Sector Experience with other law agencies ... and data-protection obligations associated with biometric information. * Create, review, provide ...

BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel ... Aggregate and reconcile data from Salesforce, Workday, and other sources; build and maintain robust ...

New

Infrastructure & Ops Alignment: Coordinate with Operations and Infrastructure teams to monitor ... Must have a strong proficiency in troubleshooting API integrations, analyzing JSON/XML payload data ...

Infrastructure & Ops Alignment: Coordinate with Operations and Infrastructure teams to monitor ... Must have a strong proficiency in troubleshooting API integrations, analyzing JSON/XML payload data ...

Infrastructure & Ops Alignment: Coordinate with Operations and Infrastructure teams to monitor ... Must have a strong proficiency in troubleshooting API integrations, analyzing JSON/XML payload data ...

Data-Driven Insight & Impact * Synthesize complex, multi-source data, including Expert Performance ... Ops, and Finance * Comfortable operating with significant autonomy in ambiguous, fast-moving ...

CA$70 - CA$75/hr

Support the development, UAT and Production of PKI OIM and OPS/BPS Secure environments, including ... Backing up or recovering service components (e.g., associated data or configurations). * Tuning ...

New

Website Manager

Toronto, ON · Remote

CA$110K - CA$135K/yr

... Ops to ensure clean data flows to CRM, data platforms and dashboards. 4) Design & User Experience - Work directly in Figma to iterate on high-performing layouts. - Optimize for clarity, visual appeal ...

Showing results 21-40

Data Ops Manager information

What are some common challenges faced by a Data Ops manager, and how can they be addressed?

Data Ops Managers often encounter challenges such as coordinating across multiple teams, ensuring data quality, and managing fast-evolving data pipelines. Success in this role requires strong communication skills to align stakeholders, robust processes for monitoring data workflows, and the ability to quickly troubleshoot issues when data delivery is disrupted. Adopting automation tools and fostering a culture of continuous improvement can help Data Ops Managers maintain reliable, scalable systems while supporting organizational data needs.

What is a Data Ops manager?

Data Ops Managers are professionals responsible for overseeing the processes, tools, and teams involved in managing and optimizing data operations within an organization. They ensure the smooth flow, quality, and accessibility of data across various platforms and departments. Their role often includes automating data pipelines, implementing data governance practices, and collaborating with data engineers, analysts, and business stakeholders to support data-driven decision making.

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

To excel as a Data Ops Manager, you need a deep understanding of data management, analytics workflows, and process automation, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (AWS, Azure), and orchestration systems such as Apache Airflow is typically required, along with certifications in data management or cloud services. Strong leadership, problem-solving, and communication skills help coordinate cross-functional teams and drive data initiatives. These competencies are crucial for ensuring data reliability, optimizing data pipelines, and enabling data-driven decision-making across the organization.

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

AspectData Ops ManagerData Engineer
Primary FocusOversees data operations, workflows, and process optimizationBuilds, constructs, and maintains data pipelines and infrastructure
Required SkillsData management, process improvement, team coordinationProgramming, database systems, ETL development
CertificationsData management, cloud certifications often preferredSQL, cloud platform certifications, programming languages
Work EnvironmentCollaborates with data teams, operations, and business unitsWorks closely with data scientists, analysts, and developers

While both roles involve working with data, the Data Ops Manager focuses on managing data workflows and operational efficiency, whereas the Data Engineer concentrates on building and maintaining data infrastructure. Understanding these differences helps in choosing the right career path or hiring the appropriate professional for your data needs.

What are popular job titles related to Data Ops Manager jobs in Ontario?

For Data Ops Manager jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Ops Manager jobs in Ontario look for?

The top searched job categories for Data Ops Manager jobs in Ontario are:

Infographic showing various Data Ops Manager job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Senior Data Scientist

Celestica International LP

Toronto, ON • On-site, Remote

Full-time

Re-posted 8 days ago


Job description

Req ID: 134618 
Remote Position: Hybrid
Region: Americas 
Country: Canada 
State/Province: Ontario 
City:  Toronto 

Summary

As the Specialist, SCM Data, you will be joining a team that embraces data and technology to develop advanced and innovative solutions. In this role, you will engage with Supply Chain cross functional business partners and facilitate building data pipelines and analytics projects to tailor solutions to business problems, using analytics to provide insights to enable incremental results.

Detailed Description

Key Responsibilities:
Support ongoing data projects for Cost Productivity, Price Productivity, and First Quote Competitiveness.
Data Pipeline: Gather required data, organize and manage the data, clean and prepare for modelling.
Data Analysis: Support and maintain AI and Machine Learning Models for consumption by Business users.
Story Telling: Develop dashboards and recurring reports to translate data & information into insight.
AI/ML Solution Development: Develop and deploy AI or machine learning models and algorithms to solve complex business problems.
Dedication to ensuring your work is well documented and version controlled.

Knowledge/Skills/Competencies

Experience using the following services/tools:
1. Microsoft Azure cloud services: Azure Data Factory, Azure Databricks, Azure ML.
2. Google Cloud Platform: Vertex AI, BigQuery, Cloud Storage, and other services.
3. Machine Learning, Good to have Natural Language processing and Deep Learning.
4. Familiar with ML Ops, Data Engineering and CI/CD Pipeline concepts.
5. Foundational knowledge on large language models (LLMs), transformer models, and retrieval augmented generation (RAG) is an asset.
6. Python, PySpark.
7. Power BI platforms.
8. Relational SQL databases.
9. The ability to quickly familiarize yourself with new languages, tools, frameworks.
10. General knowledge of the supply chain is considered an asset.

Physical Demands
  • Duties of this position are performed in a normal office environment.
  • Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
Typical Experience

Prefer 3-5 years of relevant supply chain experience, and open to considering new graduates with internship experience.

Typical Education

Prefer 3-5 years of relevant supply chain experience, and open to considering new graduates with internship experience.

Notes

This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

Celestica is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.

Celestica is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. 
At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.

COMPANY OVERVIEW:
Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.

We use artificial intelligence tools to assist in screening and assessing  applications for this role. All hiring decisions involve human review.

This posting is for an existing vacancy.

Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.