Work Location Toronto, Ontario, Canada

Hours 37.5

Line of Business Analytics, Insights, & Artificial Intelligence

Pay Details $115,600 - $163,200 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate’s skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description Senior Manager, Data Science – Marketing Measurement & Analytics Department Overview Analytics, Insights & Artificial Intelligence (AI2) supports TD businesses and corporate functions by providing data, analytics, insights and artificial intelligence solutions that enable better decision-making and strategic planning. AI2 partners with business teams to deliver end-to-end capabilities spanning data, reporting, analytics, insights and AI.

Within AI2, the

Marketing Analytics & Insights

team supports the Marketing organization with the data, measurement and analytical capabilities required to understand Marketing performance, demonstrate business value and make better investment and customer decisions.

The team brings together data science, advanced analytics, measurement,



reporting and data capabilities to create a more connected view of Marketing effectiveness across enterprise, channel and 1:1 marketing activities.

About the Role The

Senior Manager, Data Science – Marketing Measurement & Analytics

will lead a team responsible for advancing how TD measures, understands and optimizes Marketing performance.

This is a senior analytics leadership position at the intersection of

Marketing strategy, data science, measurement and data enablement . The successful candidate will establish trusted measurement approaches that connect Marketing activity to customer and business outcomes, while translating complex analytical results into transparent insights and recommendations for senior Marketing stakeholders.

The role will have accountability for enterprise Marketing measurement, including Marketing ROI, attribution, 1:1 campaign measurement and reporting, and the analytical data foundations required to scale these capabilities.

What You’ll Do Lead Marketing Value Measurement

Own and advance the analytical frameworks used to demonstrate the value and effectiveness of Marketing investments across TD.

Lead development of a connected Marketing measurement ecosystem spanning

Marketing ROI, attribution, campaign measurement and other analytical approaches

to provide Marketing leaders with consistent evidence on performance and investment effectiveness.





Advance Attribution & Marketing ROI

Lead the evolution of attribution and ROI measurement capabilities to better connect Marketing activity and investment to customer and business outcomes.

Partner across Marketing, business, data and analytics teams to establish consistent measurement methodologies, definitions and reporting that improve decision-making and Marketing investment allocation.

Scale 1:1 Campaign Measurement

Lead the measurement and reporting capability for

1:1 Marketing

, establishing scalable and repeatable approaches for assessing campaign performance across channels.

Drive greater automation and standardization of campaign reporting while evolving measurement from activity reporting toward clearer understanding of engagement, response, sales and business outcomes.

Lead the Analytical Enablement of the Salesforce Migration

Represent Marketing Analytics requirements within the Salesforce migration and associated data modernization initiatives.

Partner with Marketing, Technology, data engineering and other stakeholders to ensure

analytical data requirements are understood and incorporated into data models, pipelines and curated datasets

, enabling scalable downstream campaign measurement and reporting.

Drive appropriate validation and reconciliation of new data sources so that measurement remains accurate and trusted through the migration

Build Trusted Measurement & Data Foundations

Establish common KPIs, measurement definitions and analytical requirements across Marketing measurement solutions.

Champion strong data quality, controls, reconciliation and monitoring so

📌 Senior Manager, Data Science – Marketing Measurement (Toronto)
🏢 TD
📍 Toronto