Sr. Manager, CA Segment Measurement & Insights Lead

About the position The Sr. Manager, Measurement & Insights lead for CA Segment is a senior leadership role within the Global Digital Marketing organization. The Sr. Manager of Canada Measurement & Insights would be responsible for standardizing digital measurement framework, end-to-end marketing intelligence enablement and analytics engineering to accelerate digital sales growth, strengthen customer experiences, optimize brand performance, and improve distribution outcomes for Manulife’s Canada segment as a global SME. This role leads and develops a high-performing team of digital analysts, marketing analysts and analytics engineers, setting standards for analytical rigor, experimentation excellence, and trustworthy insights. The position also serves as a strategic partner to Segment Marketing, Digital, Distribution, CX, Product and regional business leaders, ensuring digital analytics translates into measurable business value, smarter investments, and market-ready playbooks. The position measures marketing programs and help grow marketing commercialization, and contribute to a data community within Manulife (Data Office, AI, and BI teams) to augment digital experience data with offline and other data sets for accessible, connected and reusable data Responsibilities • Build and implement advanced measurement methodologies (incrementality, attribution, experimentation, MMM, cross-channel frameworks) • Develop end-to-end measurement strategies, measurement roadmaps, and KPI standards for specific segment • Shape how advertising teams measure marketing effectiveness across ecosystems, including AI-powered platforms • Translate complex data into clear, compelling stories, visualizations, and executive-ready narratives • Perform data extraction, modeling and analysis using SQL/Python and large datasets • Generate actionable recommendations that influence segment CMO and business / marketing leaders • Serve as the primary data, marketing measurement, and attribution advisor to senior marketing and business leaders • Own senior-level relationships and guide digital strategy roadmap • Partner with cross-functional teams (marketing, product, sales, engineering, IT), providing with insights and building connected marketing data products • Represent GDM and the organization to share emerging trends and best practices in marketing intelligence • Drive internal education, evangelizing measurement capabilities and insights frameworks. • Lead a dedicated team of analysts and managers (often dedicated to individual lines of business) • Manage intake and team capacity for all segment personalization use-cases and marketing measurement • Coach on technical depth, insightfulness, and the business storytelling • Develop talent, performance, and long term high performing team structure • Lead the Databricks‑first marketing data architecture practice to build a scalable measurement foundation powering marketing reporting, attribution, and executive insights. • Support Data Office building gold‑layer semantic models for funnels, journeys, and distribution analytics in partnership • Ensure robust data contracts and high‑quality event tracking across web, app, and server‑side sources. • Advance predictive, causal, and optimization analytics to drive marketing performance and personalization. • Build forecasting, attribution, and optimization models (ARIMA/Prophet, MMM/MTA, budget/channel optimization) using Python and PySpark. • Deploy feature stores and batch/streaming scoring pipelines, writing predictions back to Databricks and activation platforms like Adobe RTCDP Requirements • 15+ years in marketing/digital analytics, BI insights, or data science with demonstrated cross-functional leadership experience. • Deep expertise across segments-aligned domains, including digital sales, CX, Brand & Distribution, Analytics Engineering, and Python based Data Science. • Advanced proficiency with Databricks, including SQL, PySpark, Delta Lake, Workflows, Unity Catalog) and Adobe Analytics. • Expertise in experimentation design, attribution methodologies, incrementality, measurement, MMM, CLV and privacy aware analytics in regulated industries. • 10 years of experience in leading analysts / BI developers / analytics engineers / data scientist, providing technical direction, mentorship, and prioritization. • Familiarity with Adobe Analytics, Adobe Journey Optimizer and Target activation and outcome feedback loops. • Strong data storytelling, insight synthesis, and executive-ready communication • Stakeholder influence and change management, especially across marketing, digital engineers, and MarTech • Deep experimentation mindset, measurement discipline and ROI orientation • Demonstrated ownership, bias for action, and comfort with ambiguity. • Analytical rigor and systems thinking across data, measurement and modeling layers. • Analytics engineering, and Python modeling would be plus Benefits • health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. • various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. • generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence.

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