Creative and digital agency scaling analytics and AI infrastructure
Publicis Canada operates a full-service creative and digital agency for mid-market and enterprise Canadian clients, with a tech stack spanning Google Analytics 4, BigQuery, Salesforce Marketing Cloud, and cloud platforms (AWS, Azure, GCP). The hiring surge skews heavily toward marketing (7 roles) and data (3 roles) at senior levels, paired with active work on measurement frameworks, tagging infrastructure, and enterprise AI platforms — indicating a shift from campaign execution toward data-driven optimization and generative AI workloads. Internal pain points around CRM efficiency, infrastructure cost, and scaling ML suggest the agency is building internal capability to compete on analytics depth, not just creative output.
Notable leadership hires: Account Director
Publicis Canada is a Montreal-headquartered creative and digital services agency operating across advertising, production, digital, and emerging channels. The firm serves large Canadian retail brands and enterprise clients with 360 advertising campaigns, CRM marketing lifecycle work, and always-on social programs. The organization spans 501–1,000 employees and is publicly held. Recent scaling efforts focus on cloud-native infrastructure, digital analytics maturity (measurement frameworks, tagging), and internal AI/ML platforms to optimize campaign performance and operational efficiency across managed accounts.
Google Analytics 4, BigQuery, Salesforce Marketing Cloud, Braze, Adobe, Tableau, Power BI, AWS, Azure, GCP, Docker, Kubernetes, and RAG systems. The mix reflects both campaign execution (Meta, Instagram, TikTok, LinkedIn, X) and analytics/BI layers (Looker Studio, BigQuery).
Yes. 14 active roles focus on marketing (7), data (3), and engineering (2), mostly at senior and VP levels. Hiring velocity is accelerating and concentrated in Canada.
Measurement framework development, digital analytics roadmap, tagging infrastructure, enterprise AI platform, cloud-native platform, AI/ML workloads, test-and-learn frameworks, and CRM optimization for large retail clients.
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