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About the Role
We are seeking a strategic, commercially minded Associate Director, Insights & Analytics to lead and scale our MMM capability across clients and internal teams. This role will shape the agency’s approach to marketing effectiveness measurement, guide clients through data requirements and model design, translate complex model outputs into clear business recommendations, and ensure MMM insights are embedded into planning, optimization, and investment decisions.
Responsibilities
- Own the development and evolution of the agency’s MMM offering, including model approach, data collection process, governance, delivery standards, and client-facing best practices.
- Partner with clients and internal teams to define business objectives, KPI hierarchy, brand/category structure, base versus incremental measurement needs, and testable hypotheses.
- Lead data requirement planning across media, sales, revenue, pricing, promotions, seasonality, macro factors, and other business drivers; ensure data inputs are complete, consistent, and model-ready.
- Work closely with internal analytics teams, data science partners, and external vendors to support model development, validation, output review, scenario planning, and optimization recommendations.
- Turn model results into clear, practical implications for media investment, channel mix, budget allocation, flighting, diminishing returns, and future planning decisions.
- Lead client conversations on marketing effectiveness, explain model methodology and limitations, present findings with confidence, and build trust with senior stakeholders.
- Collaborate with strategy, planning, investment, performance, and client teams to ensure MMM learnings are connected to broader audience, media, and business strategy.
- Create scalable MMM briefing documents, data collection templates, QA checklists, output interpretation frameworks, and executive-ready reporting formats.
- Stay current on MMM, incrementality testing, attribution, media effectiveness, privacy-safe measurement, and AI-enabled analytics to continuously improve the agency’s measurement practice.
- Identify, test, and scale AI-enabled tools, workflows, and best practices that improve research, analytics, reporting, and knowledge-sharing across the agency.
- Contribute to research and insights work as needed, including new business pitches, category and consumer POVs, thought leadership, client requests, and cross-agency strategic initiatives.
- Support the growth of managers, specialists, and analysts by providing coaching, quality control, project guidance, and capability-building across MMM and analytics workstreams.
Requirements
- 8+ years of experience in marketing analytics, media measurement, research, consulting, or agency/client-side analytics roles.
- Strong understanding of Marketing Mix Modeling, including model objectives, business use cases, data requirements, interpretation of outputs, and application to media planning and budget optimization.
- Experience managing MMM projects end to end, including scoping, client alignment, data collection, vendor coordination, model review, delivery, and post-model planning recommendations.
- Ability to translate technical analytics into concise executive narratives, clear planning implications, and actionable recommendations for senior stakeholders.
- Familiarity with paid media channels, including TV, digital video, social, search, display, audio, OOH, retail media, and CTV, and how these channels are measured and optimized.
- Strong analytical fluency, with comfort reviewing data inputs, model outputs, response curves, ROI/ROAS, contribution, saturation, and scenario planning outputs.
- Demonstrated ability to manage multiple stakeholders, timelines, and workstreams while maintaining strong attention to detail and quality control.
- Ability to lead through influence across strategy, planning, investment, analytics, and client teams.
- Strong leadership and mentoring capabilities, with experience guiding team members and building repeatable processes or capability standards.
Skills
- Marketing Mix Modeling
- Excel
- PowerPoint
- Power BI
- SQL
- R
- Python
- MMM platforms
- Analytics tools
- Statistical tools
Location
- Windsor
- Toronto
- Montreal
Work Type
- Full-time
- Hybrid
Experience Level
- Associate Director
- 8+ years
Education Level
- Bachelor’s degree or equivalent practical experience
- Advanced degree in Marketing, Statistics, Economics, Business Analytics, Data Science, or a related field
Salary/Compensations
- $80,000 - $90,000 per year
Benefits
- Work Your World program (work from anywhere in Canada or overseas for up to 6 weeks a year)
- Extended long weekends
- Wellness & Tech benefits
- Birthday leave
- Extensive Learning & Development opportunities
- Professional Development Allowance
- Local and Global Mobility within the Publicis Groupe network
About the Company
- Starcom is a global communications planning and media leader with over 80 years of history.
- Grounded in the principle that people are at the center of all they do, Starcom harnesses data and technology to move people and business forward.
- With over 7,000 employees in over 100 offices worldwide, Starcom partners with leading marketers and brands.
- In Canada, Starcom is part of Publicis Media within Publicis Groupe.
- Recognized as a Great Places to Work certified three years in a row.
- Ranked in LinkedIn’s Top 25 Great Places to Work (only communications company).
- Named 2022 Media Agency of the Year and a 2023 Media Agency of the Year finalist.
Equal Opportunity
- Starcom is an equal opportunity employer with a strong commitment to diversity and inclusion.
- Accommodations are available throughout the hiring process upon request.
- We encourage applications from all qualified individuals and will provide appropriate accommodation for candidates with disabilities or accessibility needs throughout the recruitment process, upon request.