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Program Manager – AI/ML & Marketing Analytics

Acunor

Saint Nazaire d Acton, Canada

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Posted: August 30th, 2025

Job Description

Job Title: Program Manager – AI/ML & Marketing Analytics (Retail)

Location: Remote, US, Canada (Must align with PST working hours)

Type: Contract (6+ months, extendable)

About the Role

We are hiring for a Program Manager to lead enterprise-scale AI/ML and marketing analytics initiatives for one of our premier retail clients.

The ideal candidate will have extensive experience managing analytics, data science, and AI/ML programs in a retail or eCommerce environment, with proven success in cross-functional coordination, stakeholder management, and Agile delivery.

Key Responsibilities

  • Own end-to-end delivery of AI/ML and analytics programs across marketing, merchandising, and customer experience functions
  • Collaborate with marketing, data science, analytics, engineering, and business teams to ensure program success
  • Translate business objectives into actionable program roadmaps with clear milestones and success metrics
  • Drive Agile delivery practices, including sprint planning, backlog prioritization, and retrospectives
  • Oversee data collection processes, model deployment cycles, and measurement frameworks
  • Manage risks, remove blockers, and ensure high-quality program deliverables
  • Prepare and deliver executive-level updates, reports, and dashboards

Required Qualifications

  • 8–12 years of experience in program or project management in enterprise environments
  • Proven track record leading AI/ML, data science, or analytics programs, ideally in retail/eCommerce
  • Strong understanding of marketing analytics and KPI frameworks (ROI, customer segmentation, media effectiveness, personalization)
  • Exceptional stakeholder management, communication, and cross-functional leadership skills
  • Proficiency with program management and collaboration tools (JIRA, Smartsheet, Confluence, MS Project)
  • Agile methodology experience

Nice to Have

  • Exposure to Marketing Mix Modeling (MMM) or media analytics programs
  • Familiarity with Bayesian/Frequentist modeling concepts
  • Experience working with large-scale CPG marketing data
  • Background in omnichannel attribution or advanced marketing measurement

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