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Director Data Jobs in Toronto, ON (NOW HIRING)

We're looking for a Director, Data & Technology Intercept is an award-winning B2B marketing agency specializing in creating impactful digital content, creative, and campaigns that engage IT and ...

The Role As Director, Data Scouting, you will lead the strategy, governance, and commercial management of CPP Investments' external data portfolio. Reporting to the Managing Director, you will ...

The Director, Data Solutions is a senior leadership role accountable for the data modelling, analytics engineering, and business intelligence capabilities within QuadReal's Enterprise Data ...

We are seeking an exceptional Director of Data Engineering to join McKesson Technology US Pharmaceutical Distribution (USPD) Decision Intelligence organization and lead the execution of design ...

We are seeking an exceptional Director of Data Engineering to join McKesson Technology US Pharmaceutical Distribution (USPD) Decision Intelligence organization and lead the execution of design ...

As Director, Data Engineering within our Global Technology & Data Team, you'll play a pivotal role in shaping and executing Colliers' enterprise data engineering strategy across a complex multi-cloud ...

As Director, Data Engineering within our Global Technology & Data Team, you'll play a pivotal role in shaping and executing Colliers' enterprise data engineering strategy across a complex multi-cloud ...

We are seeking an exceptional Director of Data Engineering to join McKesson Technology US Pharmaceutical Distribution (USPD) Decision Intelligence organization and lead the execution of design ...

Job Summary The Director Data Architecture will be responsible for shaping Optimum's data vision, by defining enterprise data architecture, driving modernization and migration strategy, and enabling ...

As the Director, Data Platform Governance, you are expected to be a seasoned professional in leadership and coaching responsible for providing direct application delivery services and production ...

As the Director, Data Platform Governance, you are expected to be a seasoned professional in leadership and coaching responsible for providing direct application delivery services and production ...

Title and Summary Director, Data Science Overview The Security Solutions Data Science team is responsible for delivering Artificial Intelligence (AI) and Machine Learning (ML) models that support ...

Title and Summary Director, Data Scientist Overview: The Mastercard Security Solutions Data Science team is seeking a Director of Data Science to lead the development and delivery of machine learning ...

The Senior Director, Data Platform will lead Zynga's centralized data platform and product strategy, managing one of the largest data footprints in the gaming industry-billions of daily gameplay ...

As a Director, Data Enablement, you will serve as a trusted advisor to executives, helping organizations shape enterprise data strategies, modernize data ecosystems, and establish AI-ready ...

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Showing results 1-20

Director Data information

See Toronto, ON salary details

$22.9K

$127.2K

$211.9K

How much do director data jobs pay per year?

As of Sep 6, 2026, the average yearly pay for director data in Toronto, ON is $127,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,936.00 and $166,532.00 per year, depending on experience, location, and employer.

What is the difference between Director Data vs Data Analyst?

AspectDirector DataData Analyst
Required CredentialsBachelor's or Master’s in Data Science, Computer Science, or related field; often leadership experienceBachelor's degree in related field; certifications like Microsoft Data Analyst or Tableau often preferred
Work EnvironmentStrategic leadership, overseeing data teams, and setting data policiesData collection, analysis, reporting, and visualization tasks
Employer & Industry UsageUsed in large corporations, tech firms, and data-driven organizationsCommon across various industries including finance, marketing, and healthcare

The main difference between a Director Data and a Data Analyst lies in their scope and responsibilities. The Director Data focuses on strategic leadership, managing data teams, and setting organizational data policies. In contrast, the Data Analyst handles data collection, analysis, and reporting to support business decisions. Both roles require strong analytical skills, but the Director Data typically has more experience and a broader leadership role.

What are the most commonly searched types of Data jobs in Toronto, ON?

The most popular types of Data jobs in Toronto, ON are:

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

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

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

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

What cities near Toronto, ON are hiring for Director Data jobs?

Cities near Toronto, ON with the most Director Data job openings:

Infographic showing various Director Data 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $127,183 per year, or $61.1 per hour.

Director, Data & Technology

Intercept

Toronto, ON • Remote

Full-time

Posted 18 days ago


Job description

We're looking for a Director, Data & Technology

Intercept is an award-winning B2B marketing agency specializing in creating impactful digital content, creative, and campaigns that engage IT and business decision-makers.

We work with some of the largest enterprise technology companies in the world, includingMicrosoft, SAP, Lenovo, Intel, AMD, Ciscoand more, helping them connect with their target audiences in meaningful ways.

As a Certified Great Place to Work, we foster a collaborative and innovative environment where employees excel. With a fully remote workplace, we provide our team the flexibility they need to thrive both at home and at work.

ROLE OVERVIEW:

The Director, Data & Technology leads two pods at Intercept. The Platforms pod builds and runs InterceptOS, the internal platform our teams work in, and PartnerOS, the client-facing side of that platform. The Data & Analytics pod produces the insights, data assets and context that inform our strategies and campaigns. You own the roadmap, the delivery and the people in both.

The second half of this job is building our data capability. Our clients sell to IT and business decision-makers, and the better we understand those audiences, the better our strategies and creative work perform. Your job is to build that understanding: find and acquire new data assets, decide what we can responsibly do with them, and turn them into intelligence our strategy and creative teams work from. You report to the CTO and present the state of both pods and the data roadmap to the executive leadership team.

Responsibilities:

  • Lead the Platforms pod: Own the roadmap, delivery and reliability of InterceptOS and PartnerOS. You work with stakeholders across the business to decide what gets built, what gets bought, and what gets retired, and you are accountable when the platform our teams and clients depend on is not working.
  • Lead the Data & Analytics pod: Own the insights, data assets and context that inform our strategies and campaigns, so account and strategy teams start from evidence rather than instinct. You set the standard for what a defensible insight looks like before it reaches a client, and you help turn our data assets into commercial offerings.
  • Make PartnerOS something clients choose to use: Work directly with clients and account teams to understand what they need from the platform, then turn that into a prioritized roadmap rather than a backlog of one-off requests.
  • Acquire new data assets: Identify, evaluate and bring in new first-party and third-party data sources. You run the vendor evaluation, you judge whether the data is accurate enough to build client strategy on, and you negotiate the terms we can actually work within.
  • Build out the data offering: Turn raw data assets into the insight and context our strategy, creative and account teams work from, and shape how that capability shows up in what we offer clients. You are responsible for the offering existing, not just for the pipelines behind it.
  • Own data governance and privacy: Set how we collect, store, use and retain audience data, and keep us compliant with PIPEDA, CASL and GDPR where client work reaches the EU. Enterprise clients audit this, so it has to hold up under review.
  • Set the technical direction: Make the architecture and build-versus-buy calls for InterceptOS, PartnerOS and the data stack underneath them, and document the reasoning so the decisions survive after the meeting.
  • Hire and grow both pods: Own recruiting, interviewing, onboarding and development for Platforms and Data & Analytics. You decide who joins and how the teams are shaped as the work grows.
  • Report to the executive leadership team: Provide portfolio and progress updates across both pods and the data roadmap, including where you need investment and where you are at risk.
  • What Success Looks Like:
  • By 90 days: You understand both pods, the current state of InterceptOS and PartnerOS, and the data assets we already hold, and you have given the CTO a prioritized assessment of what to change.
  • PartnerOS adoption grows: Clients use the platform regularly, usage increases over time, and account teams present it as part of Intercept's offering.
  • InterceptOS reduces manual effort: The internal platform measurably reduces manual work for delivery teams, and you can name the specific processes it replaced.
  • New data assets are live and defensible: The data sources you brought in are in production, accurate enough to build client strategy on, and covered by terms our legal and client teams have approved.
  • Data informs client work: Strategies and assets reference insights produced by the Data & Analytics pod, and the pod is consulted during planning rather than after it.
  • Governance withstands client review: How we source, store and use audience data is documented, and that documentation passes enterprise client audits.
  • Delivery is predictable: Both pods meet the dates they commit to, and risks to dates are raised early with a mitigation plan.

Qualifications:

  • Six or more years in data and technology roles: with at least three of those years leading teams, including hiring, performance conversations and development.
  • Experience owning a platform or product end to end: not only delivering features against someone else's roadmap. You have decided what to build and lived with the consequences.
  • A hands-on data background: covering pipelines, warehousing, data modelling and SQL. You can review a data model and say what will not scale.
  • Experience sourcing or licensing third-party data: including how you judged data quality, what you rejected, and how you handled the commercial terms.
  • Working knowledge of privacy and data governance in a marketing context: specifically PIPEDA and CASL in Canada, and GDPR where campaigns reach the EU.
  • Commercial judgment: you can build the business case for a data investment and explain it to people who do not care about the technology.
  • B2B marketing or martech domain knowledge: you understand how demand generation, ABM and campaign strategy actually work, ideally from agency or enterprise technology marketing.
  • Clear communication with non-technical stakeholders: because you will spend as much time with sales, client services and executives as with engineers.
  • Comfortable working fully remote across a distributed team, with occasional travel for client and team meetings.