Sr. Manager, CA Segment Measurement & Insights Lead

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 Position Responsibilities: Measurement Strategy & Frameworks 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 Insights & Analytics Leadership 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 Segment Stakeholder Partnership & Thought Leadership 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. People Leadership for the Segment Measurement & Insights Team 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 Thought leadership on Data Analytics Engineering and Marketing Data Science 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 Required Qualifications: 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. Key Competencies 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 Success Metrics Driving measurable gains in conversion, retention, brand lift, and channel efficiency via effective dashboard and actionable insights Adoption of unified KPI frameworks and incrementality measurement for hyper personalized marketing communication Executive decisions informed by trustworthy dashboards, models, and narratives Validated standardized measurement across initiatives, scaled playbooks and test learnings High performing team building and empowerment Shifting focus from ad-hoc reporting to AI-empowered Insights via self-serve reporting automation When you join our team: As part of our global team, we’ll support you in shaping the future you want to see. We’ll empower you to learn and grow the career you want. We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words. #LI-Hybrid The role being advertised is an existing vacancy. About Manulife and John Hancock Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html. Manulife is an Equal Opportunity Employer At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com. Referenced Salary Location Toronto, Ontario Working Arrangement Hybrid Salary range is expected to be between $92,900.00 CAD - $142,900.00 CAD Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location. Manulife offers eligible employees a wide array of customizable benefits, including 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. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our 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. If you are applying for this role in the U.S., please contact hr@manulife.com for more information about U.S.-specific paid time off provisions. We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

The role involves standardizing digital measurement frameworks and leading a high-performing team to drive marketing intelligence and analytics engineering. It also requires serving as a strategic partner to business leaders to translate data into actionable insights and measurable business value.

Candidates must have 15+ years of experience in marketing or digital analytics with demonstrated cross-functional leadership. Proficiency in Databricks, Python, and advanced measurement methodologies like attribution and incrementality is required.

• Health insurance • Dental insurance • Mental health support • Vision insurance • Short-term disability • Long-term disability • Life insurance • AD&D insurance • Adoption/surrogacy benefits • Wellness benefits • Employee/family assistance plans • Retirement savings plans • Pension plan • Global share ownership plan • Financial education and counseling • Paid time off • Statutory leaves of absence

• SQLSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Digital analytics
• Marketing intelligence
• Data science
• SQL
• Python
• Databricks
• PySpark
• Adobe Analytics
• Attribution modeling
• Experimentation design
• Marketing effectiveness
• Data storytelling
• Stakeholder management
• Analytics engineering
• Predictive modeling
• Cross-functional leadership
• Ad Hoc Reporting
• Digital Content Delivery
• Digital Media Strategy
• Influencing Skills
• Autoregressive Integrated Moving Average (ARIMA)
• MarTech Solutions
• Digital Sales
• Workplace Inclusivity
• Pipelines
• Influencing Without Authority
• Workflow Management
• Data Storytelling
• Time Off Management
• Adobe Real-Time CDP (RTCDP)
• Adobe Journey Optimizer (AJO)
• Technology Ecosystems
• Information Gathering
• Thought Leadership
• Artificial Intelligence
• Analytics
• Data Analysis
• Automation
• Business Marketing
• Mental Health
• Business Intelligence
• Dashboard
• Business Valuation
• Investments
• Change Management
• Commercialization
• Communication
• Data Architecture
• Data Extraction
• Digital Marketing

• Data & Analytics
• Marketing
• Management & Leadership
• Technology
• Finance & Accounting
• Segment Manager
• Marketing Analytics Specialist
• Advertising and Marketing Professionals
• Market Research Analysts and Marketing Specialists

Expérience minimale

10+ ans

Postuler avant le

20 août 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine