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Data Automation Remote Jobs in Toronto, ON (NOW HIRING)

JLL

Senior Data Engineer

Toronto, ON · Remote

Develop AI-powered solutions and automation frameworks that drive measurable business outcomes ... Remote -Toronto, ON Opening Type: New Role If this resonates with you, we encourage you to apply ...

NTT DATA Services

Speciality Seller IV

Toronto, ON · Remote

CA$144K - CA$287K/yr

Req ID: 373761 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... The starting pay range for this remote role is $144,000 - $287,000 . This range reflects the ...

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

... remote) Job Overview As a Senior Data Developer, you will be responsible for building and ... Create tooling to help with day to day tasks, and reduce toil via automation wherever possible.

Moneris

Senior Manager, Data Engineering

Toronto, ON · On-site +1

CA$142K - CA$177K/yr

You will be based in our Toronto office, balancing in-office collaboration with remote flexibility ... Drive adoption of Infrastructure as Code (IaC), deployment automation, and engineering best ...

Td

AI2 Data Science Associate (Graduate)

Toronto, ON · On-site +1

Machine Learning - Data/Text Mining, Programming, Algorithm Development, Automation Data ... TD requires employees to reside in the country where the role is located, irrespective of remote ...

New

WSP

SCADA Specialist

Thornhill, ON · On-site +1

CA$89K - CA$118K/yr

Execute onsite and remote troubleshooting, including scheduled and unscheduled service support ... Design and support industrial OT networks , enabling secure data flow between PLCs, SCADA, and ...

Arobas Personnel Inc.

QA Lead

Toronto, ON · On-site +1

Remote : Hybrid* We are looking for an experienced QA Lead to ensure the quality and integrity of ... Conduct data quality checks and analyze results using SQL queries. * Identify, document, and track ...

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All JobsData Automation JobsData Automation Remote JobsData Automation Remote Jobs in Toronto, ON

Data Automation Remote information

What is a data automation remote?

A Data Automation Remote job involves designing, implementing, and managing automated processes for handling data, all while working from a remote location. Professionals in this role use software tools and programming languages to streamline data collection, transformation, integration, and reporting tasks. They help organizations save time, reduce errors, and improve data accuracy by automating repetitive or manual data-related workflows. This job often requires knowledge of data management platforms, scripting languages, and cloud-based services. Remote data automation specialists collaborate with teams virtually and may work across various industries.

What are the key skills and qualifications needed to thrive as a data automation specialist in a remote setting?

To excel as a Data Automation Specialist working remotely, you typically need a solid background in data analysis, scripting languages (such as Python or SQL), and a relevant degree in computer science or a related field. Familiarity with automation tools like Alteryx, UiPath, or Apache Airflow, as well as experience with cloud platforms and APIs, is highly valued. Strong problem-solving skills, self-motivation, and effective virtual communication are essential soft skills for thriving in a remote environment. These competencies ensure efficient data workflow automation, smooth collaboration across distributed teams, and successful project delivery.

What are some typical challenges faced in a data automation remote role, and how can they be managed?

In a remote Data Automation role, common challenges include maintaining clear communication with cross-functional teams, managing data security protocols from various locations, and troubleshooting automation scripts without immediate on-site support. To address these, it's important to use robust collaboration tools, establish regular check-ins with your team, and document your automation processes thoroughly. Additionally, staying proactive about cybersecurity best practices and participating in virtual knowledge-sharing sessions can help you stay aligned and effective in a remote environment.

What are popular job titles related to Data Automation Remote jobs in Toronto, ON?

For Data Automation Remote jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Data Automation Remote jobs in Toronto, ON look for?

The top searched job categories for Data Automation Remote jobs in Toronto, ON are:

Data Automation Remote jobs near you
Infographic showing various Data Automation Remote job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.

Senior Data Product Manager, Data & Intelligence

Toronto, ON • Remote

NearSource
IT Services • 11 - 50 employees
Learn more about NearSourceexternal

Full-time

Posted 17 days ago

Key responsibilities

  • Translate strategic business goals and stakeholder needs into product roadmaps, plans, and requirements.

  • Lead product discovery, define user needs, workflows, and desired outcomes with business and technical teams.

  • Manage product backlogs, dependencies, risks, and stakeholder communications throughout the product lifecycle.

Job description

Job Title: Senior Data Product Manager, Data & Intelligence
Job Location: 100% Remote, Canada
Job Type: T4 Contract
Experience: 8+ Years
Rate: CAD 70 - 78 per hour

Role Summary: NearSource is looking for a Senior Data Product Manager, Data & Intelligence to translate strategic business priorities and stakeholder needs into scalable, trusted, and actionable enterprise data products.

The role operates at the intersection of business strategy, data, analytics, and engineering, driving product roadmaps, requirements, prioritization, and cross-functional delivery for complex data and intelligence initiatives.

Key Responsibilities

  • Translate strategic business goals and stakeholder needs into product roadmaps, product plans, epics, releases, and actionable requirements.
  • Lead product discovery with business stakeholders and technical teams to define user needs, use cases, workflows, and desired outcomes.
  • Own product prioritization based on customer value, strategic alignment, dependencies, technical feasibility, and implementation effort.
  • Partner with Engineering Managers, Technical Leads, Data Engineers, Analysts, Data Scientists, Business Intelligence teams, and Data Governance specialists throughout the product lifecycle.
  • Manage product backlogs, requirements, dependencies, risks, acceptance criteria, release readiness, and stakeholder communications.
  • Ensure technical solutions remain aligned with defined business and user outcomes.
  • Drive alignment across business and technical stakeholders by communicating priorities, decisions, trade-offs, risks, and progress.
  • Establish feedback loops and success measures to improve product quality, adoption, scalability, and business impact.
  • Identify opportunities for standardization, reuse, simplification, and automation to reduce one-off solutions.
  • Translate ambiguous strategic objectives into clear, prioritized, and executable product plans for technical delivery teams.
  • Drive delivery of trusted, reusable, and scalable data and intelligence products that support Go-to-Market decision-making.

Must-Have Skills

  • 8+ Years of experience as a Data Product Manager, Technical Product Manager, Product Manager, or similar role working with technically complex products.
  • Strong experience in strategic planning and translating business objectives into actionable product roadmaps.
  • Strong stakeholder management experience across business and technical teams.
  • Hands-on experience with analytics and data science products.
  • Experience with product discovery, roadmap development, prioritization, and requirements definition.
  • Experience managing epics, releases, product backlogs, dependencies, and acceptance criteria in an Agile environment.
  • Proven ability to translate ambiguous business problems and stakeholder needs into clear and executable product plans.
  • Experience partnering closely with engineering or technical development teams.
  • Working knowledge of data models, data pipelines, APIs, data quality, data governance, analytical platforms, or enterprise data products.
  • Strong written and verbal communication skills, including the ability to communicate complex technical concepts to non-technical stakeholders.

Nice-to-Have Skills

  • Experience with Customer Data Governance or Master Data Management.
  • Experience with Customer 360, customer identity, entity resolution, account hierarchies, match/merge, or deduplication.
  • Experience with third-party data ingestion, data enrichment, data quality, reconciliation, or exception management.
  • Experience with policy-driven data workflows, controls, audibility, or automation.
  • Experience with enterprise analytical data platforms, data warehouses, or lake house environments.
  • Experience with governed datasets, shared metrics, data definitions, or semantic consistency.
  • Experience with BI products, dashboard consolidation, migration, or rationalization.
  • Experience with embedded analytics or intelligence within enterprise applications.
  • Experience with predictive analytics, machine learning, recommendation, scoring, or decision-support products.
  • Experience with model explainability, experimentation, or hypothesis-driven product development.
  • Experience operationalizing analytical models and insights within business workflows.
  • Experience delivering intelligence or analytics through CRM platforms such as Salesforce.
  • Experience working in a complex, globally distributed enterprise environment.

Relevant Data Product Experience

Candidates should demonstrate meaningful experience in at least one of the following areas:

  • Customer Data Governance: Master Data Management, Customer 360, customer identity, entity resolution, account hierarchies, data quality, governance, reconciliation, and automated controls.
  • Customer Intelligence at Scale: Enterprise data and analytics platforms, governed datasets, shared metrics, data enrichment, product-ionized intelligence, BI products, embedded analytics, and AI-enabled data experiences.
  • Strategic Data Research and Data Science Products: Predictive analytics, machine learning, propensity and recommendation models, scoring products, model explainability, experimentation, and operationalized analytical insights.

Apply now, or share your resume with salary expectations at careers@nearsource.ca. Thank you for considering a career with us! Once you submit your application, our Talent Acquisition team will review your resume thoroughly. If there's a strong match, we'll reach out to discuss your experience, role details, benefits, compensation, and next steps. While we strive for transparency, we may not be able to respond to every applicant due to high volume, but we genuinely appreciate your time and interest.

About NearSource: NearSource Technologies is a trusted partner for future-ready software consulting, enabling Fortune 500 enterprises to accelerate digital transformation. Our global engineering teams build and deploy impactful technology for some of the world's most admired brands, working directly on long-term client initiatives.

Equal Opportunity: NearSource is an equal opportunity employer committed to fostering an inclusive and respectful environment. We celebrate diversity and do not discriminate based on race, gender, religion, sexual orientation, age, disability, or background. Innovation thrives when everyone feels empowered to contribute.