Sr. Manager, Digital Data Tagging & Platform Enablement

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At Rogers, we are committed to connecting Canadians through unique partnerships, our world-class network and content Canadians love. Every day we wake up with one purpose in mind. To bring loved ones together from across the globe. To connect people to each other and the world around them. To help an entrepreneur realize their dream. A sports fan celebrate a special moment.

Because we believe connections unite us and moments define us. Come build a rewarding career at Rogers and be a driving force behind our success story!

Reporting to the Director, Marketing Technology & Digital Data Enablement, you will lead the strategy, governance, management and maintenance of digital data collection platforms across our portfolio of websites (, , etc) and mobile applications (MyRogers iOS / Android). This role owns the end-to-end digital data enablement ecosystem ensuring web and mobile behavioural data is consistently captured, governed, trusted, and made available for analytics, profiling, segmentation, activation, and other enterprise data platforms.

• Lead and actively manage the digital data collection ecosystem, including Adobe Tag Manager, Adobe Analytics, Google Analytics 4, Adobe Target, Adobe Real-Time Customer Data Platform (RT-CDP), and Quantum Metric.
• Own platform configuration, governance, and technical health across web and mobile applications while ensuring alignment to evolving business and analytics needs.
• Team Leadership & Shared Services Model:
  • Directly manage a shared-service team of Analytics Managers, JavaScript developers, and Analytics QA supporting multiple product teams. Allocate capacity and manage budget across portfolios, establish clear roles and responsibilities, and drive consistent quality and governance standards while supporting team development and growth.
• Data Schema Design & Governance:
  • Own web and mobile data layer and event schema design across brands, platforms, and channels. Ensure governed, reusable standards supported by clear documentation and partner closely with Legal and Privacy to ensure compliant data collection and activation.
• End-to-End Data Collection Lifecycle:
  • Partner with the Data Insights team to ensure collected data is analytics-ready, trusted, and fit for reporting, modelling, and activation. Oversee the full lifecycle from requirements gathering and implementation through QA, release validation, and ongoing regression monitoring.
• Work closely with Product Managers and Engineering teams to educate stakeholders on data requirements and best practices. Define data acceptance criteria, ensure data quality during feature development and releases, and embed tagging and QA practices into agile delivery workflows. Participate and support Digital Releases to ensure key data key events are always available after new product releases.
• Enable efficient and privacy-aware data sharing with advertising platforms via client-side pixels and server-side integrations (CAPI). Oversee data pipelines feeding enterprise data lake, enterprise warehouses, analytics platforms, optimization tools in partnership with data engineer, production support, EFT/MFT teams.
• Cross-Functional Leadership & Communication:
  • Build strong partnerships across Product, Engineering, Analytics, Media, Marketing, and Privacy teams. Translate complex technical concepts into clear guidance for non-technical audiences and champion best practices in digital data governance and measurement maturity across the organisation.

• 8+ years of experience in digital analytics, tagging, data engineering, or digital data platform roles
• 5+ years in team leadership capacity managing complex digital data environments
• Hands-on experience with Data Layer / Adobe Tag Manager / Launch, Adobe Analytics, Google Analytics 4, Adobe Target, and Quantum Metric
• Strong expertise in web and mobile app data layer design, event schemas, and tagging governance
• Experience working closely with Product and Engineering teams in agile or product-led environments
• Solid understanding of data pipelines, digital-to-enterprise data flows, and analytics…