Managing Director, Marketing Analytics & Data Science

ITjobs.ca; Toronto; On-site; CAD 190,000 - 215,000; Full time

Job summary

An established industry player is seeking a Managing Director for Marketing Analytics & Data Science. This pivotal role involves leading the development of innovative data strategies that drive marketing effectiveness through AI and machine learning. You will collaborate with top executives and manage a talented team, ensuring the delivery of actionable insights and fostering a data-driven culture. This position offers a unique opportunity to shape marketing strategies, enhance operational outcomes, and influence the future of data science within the organization. If you are passionate about leveraging data to drive business success, this is the role for you.

Qualifications

• 10+ years of experience in Marketing, IT, or related fields.
• 5+ years of hands-on data science experience managing teams.
• Expertise in marketing measurement solutions and data engineering.

Responsibilities

• Lead the development of Marketing Data Science and Analytics strategy.
• Develop data-driven insights and model-based proof of concepts.
• Mentor a high-performing team of digital marketing and analytics experts.

Skills

Data Science

Marketing Technology

SQL

SAS

Python

R

Unix

Statistical Programming

Analytical Skills

Presentation Skills

Education

University degree in Management Information Systems

Advanced degree preferred

Tools

Salesforce

Marketo

Google Analytics

Adobe Analytics

AWS-EMR

Hadoop

Job description

Managing Director, Marketing Analytics & Data Science

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Application Deadline: 05/16/2025

Address: 33 Dundas Street West

Job Family Group: Data Analytics & Reporting

This role will lead the development of the Marketing Data Science and Analytics strategy, link the strategy with actionable roadmaps that facilitate the needs of the individual Groups/Services while establishing common capabilities that service the Bank. The role will accelerate our Marketing partners’ predictive DnA journey from insights to fully operational AI/ML-based solutions, enable simplification and a digital-first paradigm based on predictive DnA approaches (AI, ML), and be a trusted advisor to stakeholders on data science and analytics activities. The role will partner with CMOs, MCSI CDAO, Operational Group/Service leaders, and LOB DnA teams to unpack their strategic objectives, lead execution on Data Science and Analytics capabilities, and manage operational delivery of outcomes.

1. Develop data-driven insights on valuable opportunities with Marketing and business partners.
2. Develop and test model-based proof of concepts and prototypes to assess feasibility and value-creation potential.
3. Leverage advanced analytics/AI to support marketing strategy, drive acquisition, develop data science capabilities, and enhance marketing effectiveness and reporting.
4. Provide expertise in deploying capabilities like Google Marketing, value-based bidding models, and integrating marketing campaign data with business data.
5. Develop, implement, and deploy AI/ML-based solutions in collaboration with business, Risk, and Technology partners.
6. Provide expertise in data engineering, curation, and integration to support analytics and insights delivery.
7. Offer trusted advisory services to internal partners on initiatives.
8. Represent BMO Financial Group in external Data Science & Analytics partnerships and forums.
9. Innovate using internal and external datasets to derive insights with AI/ML, and prototype solutions.
10. Stay updated on industry trends and provide insights on best practices.
11. Collaborate across domains and organizations to shape solutions from ideation to delivery.
12. Provide expertise on statistical and mathematical concepts to help evolve the business into a data-driven culture.
13. Lead a high-performing team of ~20 digital marketing and analytics experts, developing leaders and fostering a culture of high performance.
14. Mentor and develop the Data Science and Analytics Practice across geographies.
15. Partner with Talent Acquisition to recruit and evaluate talent, investing in organizational capabilities.
16. Promote and support the Bank’s risk culture, ensuring compliance with risk and regulatory requirements.
17. Drive simplicity and productivity improvements across groups.
18. Foster a culture aligned with Purpose, engagement, diversity, equity, and inclusion.
19. Develop leaders, plan for succession, and drive talent retention.
20. Lead and mentor a diverse team, promoting customer focus and strategic alignment.

Qualifications

• University degree in Management Information Systems, Computer Science, or related; advanced degree preferred.
• Min 10 years of progressive experience in Marketing, IT, or related fields, including leadership roles.
• At least 5 years hands-on data science experience and managing data science teams.
• Expertise in Marketing Technology platforms, coding languages (SQL, SAS, Python, R, Unix), and marketing tools (Salesforce, Marketo, Google Analytics, Adobe Analytics).
• Experience with marketing measurement solutions such as MMM, Multi-Touch Attribution, and in a cookieless marketing environment.
• Strong analytical and presentation skills, experience with supervised/unsupervised learning, data engineering, and statistical programming.
• Comfort with AWS-EMR, Hadoop ecosystems, and cross-domain problem solving.
• Experience in startup environments and with external clients is a plus.

Target salary range: $190,000 - $215,000 CDN.

Salary

Pay Type: Salaried. Compensation varies based on factors like location, skills, experience, and may include incentives, bonuses, and benefits. For more info, visit Total Rewards.

About Us

At BMO, we are driven by Purpose: Boldly Grow the Good in business and life. We aim to create lasting positive change and support our people with growth opportunities. Learn more at our careers page.

BMO values diversity, equity, and inclusion, providing accommodations upon request for all candidates.