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Senior Marketing Insights Manager

Job in Toronto, Ontario, C6A, Canada
Listing for: Maple
Full Time position
Listed on 2026-07-04
Job specializations:
  • IT/Tech
    Data Analyst, Digital Marketing
  • Marketing / Advertising / PR
    Digital Marketing
Salary/Wage Range or Industry Benchmark: 112000 - 130000 CAD Yearly CAD 112000.00 130000.00 YEAR
Job Description & How to Apply Below

Position

Senior Marketing Insights Manager – Lead how we measure, understand, and improve marketing performance at Maple.

Responsibilities
  • Design and Own Marketing Measurement Systems
    • Build scalable frameworks that measure full-funnel marketing performance in partnership with the Data and Analytics Team.
    • Establish and evolve advanced media measurement (attribution, incrementality, MMM) to better understand channel contribution, optimize budget allocation, and inform long-term investment strategy.
    • Develop and operationalize predictive models that enable personalized marketing at scale, improving conversion, retention, and lifetime value across channels.
    • Oversee the development and maintenance of dashboards, KPIs, and channel infrastructure that guide decision-making across the organization.
    • Champion a user-centric approach to insights, ensuring metrics reflect behavior across the full customer journey in an accessible and flexible manner.
  • Lead Strategic Insights Initiatives
    • Support planning cycles with data-backed recommendations and scenario modeling, helping the marketing team estimate impact and make informed investment decisions.
    • Serve as a key voice in shaping strategy through regular business reviews, marketing planning sessions, and campaign retrospectives.
    • Translate technical findings into compelling, actionable narratives tailored for executive and cross-functional audiences.
  • Scale Tools and Processes
    • Identify inefficiencies in current measurement and reporting processes; implement scalable systems to improve speed, accuracy, and accessibility.
    • Oversee and optimize event tracking frameworks (e.g., Google Tag Manager, offline conversion APIs) to ensure accurate, scalable, and privacy compliant data collection across all digital touchpoints.
    • Design and oversee a structured experimentation roadmap, including A/B and multivariate testing frameworks, to validate hypotheses and drive incremental performance improvements.
    • Drive the integration of AI and agentic workflows into marketing analytics, designing systems that automate insight generation, optimize decision-making, and scale personalization across the organization.
Success Criteria

In your first 90 days you’ll build a strong understanding of Maple’s marketing channels, data infrastructure, and current measurement approach, establish relationships across Marketing and Data teams, take ownership of key reporting workflows, and identify opportunities to improve visibility, accuracy, and consistency in how performance is tracked and shared.

Over the next 12 to 18 months you’ll establish a scalable and reliable marketing measurement function, strengthen experimentation capabilities, and enable more confident, data-driven decision-making across the organization. Your work will directly influence how marketing investments are made and how we drive growth.

Requirements
  • 7+ years of experience in marketing analytics, data science, or a related field, with a focus on marketing measurement and performance analysis.
  • Strong experience with attribution, incrementality testing, or marketing mix modelling (MMM).
  • Proven ability to build and scale reporting frameworks, dashboards, and performance metrics.
  • Experience working with large datasets and translating data into actionable business insights.
  • Strong understanding of digital marketing channels and full-funnel performance measurement.
  • Experience designing and running experiments (A/B testing, multivariate testing).
  • Proficiency with analytics and BI tools (e.g., Looker, SQL, Google Analytics, or similar).
  • Strong communication skills, with the ability to clearly present insights to cross-functional and senior stakeholders.
  • Comfortable working in a fast-paced, high-growth environment with evolving priorities.
Nice to Have
  • Experience with predictive modelling or personalization frameworks.
  • Familiarity with tracking tools such as Google Tag Manager or conversion APIs.
  • Experience working in a B2C, SaaS, or healthcare environment.
Benefits

Pay range: $112,000 – $130,000. Other benefits include: competitive benefits package, health spending account, maple access, flexible benefits budget, and retirement savings plan.

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Position Requirements
10+ Years work experience
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