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Senior Manager, Next Best Offer

bmo

Toronto, CAonsite$86k-$160k/yrPosted Jun 4, 2026

Skills

salesforceml

About the role

Application Deadline:

06/29/2026

Address: 33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

This is a hybrid 16 month contract role requiring a minimum of 3 days in the Toronto office

We are seeking a Senior Manager, NBO to play a critical bridging role between Business, Marketing Technology, and advanced analytics/AI teams. This leader will help design, operationalize, and scale personalized customer engagement by translating business strategy into actionable decisioning frameworks and technical execution. This role is ideal for a hybrid strategist–operator who understands both how modern MarTech + AI ecosystems enable real-time decisioning at scale, and how to operationalize decision logic within execution platforms.

Responsibility & Accountabilities:

Bridge Business Strategy to Decisioning Execution

Act as the business-lead on project that advances our capabilities to deliver ecosystem that enhances marketing effectiveness across all channels, including emerging channels

Act as key connector across MarTech teams; Data & Analytics, ML/AI decisioning teams, Technology and Marketing Operations

Help evolve capabilities such as: Real-time signals and intent capture, Rules-based + AI-driven decisioning frameworks

Contribute to the design and evolution of customer decisioning processes, including: Trigger identification, Offer and action prioritization, Contact and engagement policies

Work closely with marketing operations and technology teams to operationalize decision logic within execution platforms

Advocate for closed-loop measurement and continuous optimization

Enable Personalized Customer Experiences

Support delivery of more contextual, relevant interactions

Ensure alignment between customer signals, decisioning logic, and channel execution

Contribute to improving consistency of personalization across touchpoints

Support Measurement and Optimization

Partner with analytics teams to track and interpret performance

Support test-and-learn initiatives to improve engagement outcomes and measure impact of NBO/NBA

Use insights to refine targeting and prioritization approaches

Collaborate and Influence

Work cross-functionally to align priorities across multiple teams

Communicate complex concepts in a clear, business-friendly way

Contribute to evolving customer decisioning practices and ways of working

Qualifications:

Experience:

6–10+ years in marketing strategy, CRM, customer optimization, or MarTech

Strong experience in financial services or highly regulated industries

Proven experience working across: Business teams (Product, Sales, Channels), Technology / MarTech platforms, Data science / analytics teams

Core Skills:

>Deep understanding of:

Next Best Action / Offer frameworks

Customer lifecycle marketing and omni-channel engagement

Decisioning logic (rules + AI models)

>Experience with platforms such as:

Salesforce Marketing Cloud, Adobe,

Or similar Campaign management / decisioning tools (e.g., Pega, custom engines)

>Strong ability to translate between business requirements and technical implementation

>Leadership & Collaboration

>Analytical & Strategic Skills

>Ability to define value drivers and build business case

Nice to have:

>Exposure to Next Best Action / Offer concepts or decisioning frameworks

>Familiarity with AI/ML-driven marketing or personalization approaches, identity resolution and consent driven marketing

>Experience supporting Champion/Challenger or Optimization Programs

>Experience integrating decisioning with Digital Asset Management (DAM) and content system

Salary:

$86,000.00 - $160,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

Compensation

This Data Scientist role pays $86k-$160k/yr. Within typical range for data scientist roles in Canada.

Questions about this role

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