Responsibility & Accountabilities
Bridge Business Strategy to Decisioning Execution
Act as the business‑lead on projects that advance our capabilities to deliver an ecosystem that enhances marketing effectiveness across all channels, including emerging channels.
Act as key connector across Mar Tech teams:
Data & Analytics, ML/AI decisioning teams, Technology and Marketing Operations.
Help evolve capabilities such as real‑time signals and intent capture, and rules‑based + AI‑driven decisioning frameworks.
Contribute to the design and evolution of customer decisioning processes, including trigger identification, offer and action prioritization, and 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 ExperiencesSupport 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 OptimizationPartner 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 InfluenceWork 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- 6‑10+ years in marketing strategy, CRM, customer optimization, or Mar Tech.
- Strong experience in financial services or highly regulated industries.
- Proven experience working across business teams (Product, Sales, Channels), technology/Mar Tech platforms, and data science/analytics teams.
- Deep understanding of Next Best Action / Offer frameworks, customer lifecycle marketing and omni‑channel engagement, and 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).
- Robust ability to translate between business requirements and technical implementation.
- Leadership & Collaboration, Analytical & Strategic Skills, Ability to define value drivers and build a business case.
- 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 systems.
Salary: $86,000.00 - $.
Payroll may include commissions or bonuses. Full benefit package includes health insurance, tuition reimbursement, accident and life insurance, retirement savings plans, and various rewards.
Additional NotesThis position requires a minimum of 3 days in the Toronto office. It is a hybrid role.
EEO & AccessibilityBMO s’engage à offrir un milieu de travail inclusif, équitable et accessible. Nous apprenons de nos différences et tirons notre force des gens et de leurs différents points de vue. Des mesures d’adaptation sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection.
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