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Added 26 mins ago
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What it’s like to be a Northbridge Underwriting Manager:
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Senior Manager, Data Science – Marketing Measurement & Analytics

Toronto, ON, Canada

$115,600 - $163,200 CAD · Full-time

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Job details

Pay: $115,600 - $163,200 CAD
Job type: Full-time
Apply by: Nov 14, 2026
Experience: 5–7+ years of relevant analytics/data science experience, with demonstrated experience leading complex analytical initiatives.
Posting language: English
Posted: Oct 29, 2026

Original job description

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 clear 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 Marketing leaders can rely on reported results.

Turn Analytics into Business Decisions

Translate complex analytical results into clear recommendations that Marketing executives and business partners can use to make decisions.
Bring together data science, business context and compelling storytelling to identify opportunities, explain performance drivers and influence Marketing strategy and investment decisions.

Lead a High-Performing Data Science Team

Provide people leadership to a team of Data Scientists and analytics professionals, setting priorities, developing talent and ensuring work is focused on the highest-value Marketing opportunities.
Create an inclusive, collaborative and high-performance environment while building both technical depth and business acumen across the team.

Build Strong Partnerships

Act as a senior analytics partner to Marketing leaders while working across AI2, Technology, data teams and other enterprise partners to solve complex Marketing measurement and data challenges.
Build trusted relationships and create alignment between business objectives, measurement strategy and technical delivery.

What You Bring

Required Qualifications

University degree in Statistics, Mathematics, Computer Science, Engineering, Economics, Business Analytics or another quantitative discipline.
5–7+ years of relevant analytics/data science experience, with demonstrated experience leading complex analytical initiatives.
Demonstrated experience leading analytics professionals, analytical projects or complex cross-functional initiatives.
Strong knowledge of Marketing measurement, including several of the following: Marketing ROI, attribution, campaign measurement, experimentation/causal measurement, Marketing Mix Modeling, customer analytics or digital measurement.
Strong technical foundation working with large and complex datasets and technologies such as SQL, Python/PySpark and Databricks.
Strong understanding of data structures, analytical data models and data pipelines, with the ability to translate business measurement requirements into scalable analytical solutions.
Strong business acumen and ability to connect analytical work to business outcomes.
Ability to communicate complex analytics concepts and recommendations clearly to non-technical and executive audiences.
Strong stakeholder-management skills with demonstrated ability to influence across business, analytics, data and technology teams.

Preferred

Experience in Marketing, financial services, telecom, retail or another large-scale customer/direct-marketing environment.
Hands-on knowledge of Marketing attribution, MMM, causal inference, incrementality or experimentation methodologies.
Experience supporting CRM, Salesforce or Marketing data modernization/migration programs.
Experience with reporting and visualization platforms such as Power BI.
Experience building or modernizing automated Marketing measurement and reporting capabilities.
Graduate degree in a quantitative discipline.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

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More about this job

Responsibilities

Lead a team of data scientists to advance marketing performance measurement, attribution, and ROI frameworks. Partner with cross-functional teams to integrate analytical requirements into data modernization initiatives and translate complex insights into actionable business recommendations.

Requirements

Requires a university degree in a quantitative discipline and 5-7+ years of experience in analytics or data science. Candidates must possess strong technical skills in SQL, Python, and data modeling, alongside proven leadership and stakeholder management capabilities.

Skills

Data science
Marketing measurement
Marketing ROI
Attribution
SQL
Python
PySpark
Databricks
Marketing mix modeling
Customer analytics
Digital measurement
Salesforce
Power BI
Data modeling
Leadership
Stakeholder management

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Marketing Analytics
Marketing ROI
Attribution
SQL
Python
PySpark
Databricks
Marketing Mix Modeling
Customer Analytics
Digital Measurement
Salesforce
Power BI
Data Modernization
KPIs
Causal Inference
Incrementality
Experimentation
Data Engineering
Business Intelligence
Statistical Analysis
Predictive Modeling
Data Visualization
Financial Services
Leadership
Strategy
Data Quality
Reporting
Automation
CRM

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