Senior Manager, AI Marketing Science & Analytics

Scotiabank • Toronto, ON

3d • Onsite

About The Position

The Senior Manager, Marketing Analytics provides leadership in the development, delivery, and continuous improvement of marketing analytics capabilities that support data-driven marketing decisions across global marketing functions. Reporting to the Director, Global Advanced Analytics & Insights in Marketing, this role leads a portfolio of analytics work spanning marketing measurement, campaign performance, audience strategy, personalization, forecasting, and business insights. The role sits at the intersection of marketing strategy, banking economics, data, and analytics, translating complex client, product, channel, and campaign data into clear recommendations that improve marketing effectiveness, customer value, and business outcomes.

Requirements

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or Engineering.
• 8+ years of progressive experience in marketing analytics, advanced analytics, data science, business insights, or a related quantitative field.
• Experience in financial services or banking preferred, with strong understanding of customer economics, product performance, and marketing effectiveness.
• Proven track record leading marketing analytics initiatives such as MMM, MTA, incrementality testing, campaign measurement, segmentation, forecasting, personalization, or ROI analysis.
• Experience leading teams, managing priorities, and delivering executive-ready recommendations to senior stakeholders in a complex business environment.
• Experience partnering with cross-functional teams including Marketing, Product, Digital, Finance, Data Engineering, BI, Technology, and Data Science.
• Expert knowledge of experimentation and marketing measurement techniques.
• Strong familiarity with BI and data visualization tools (e.g., Power BI preferred).
• Experience working with large-scale data environments and cloud platforms (e.g., AWS, Azure, GCP).
• Ability to translate complex analytical findings into clear, concise, and actionable business recommendations for both technical and non-technical audiences.
• Exceptional leadership, team-building, and mentorship skills.
• Excellent written and verbal communication skills, with a proven ability to influence and persuade at all levels of an organization.
• Strong collaborative skills, with experience guiding technical roadmaps and partnering effectively with engineering and business teams.

Responsibilities

• Lead the planning and delivery of marketing analytics initiatives across campaigns, channels, products, and customer segments.
• Translate business priorities into analytical roadmaps, manage intake and prioritization, and ensure timely delivery of high-quality insights and recommendations.
• Oversee measurement frameworks including Marketing Mix Modelling (MMM), Multi-Touch Attribution (MTA), incrementality, experimentation, campaign effectiveness, and ROI analysis.
• Apply statistical and machine learning techniques where appropriate to improve measurement quality, scalability, and business relevance.
• Develop analytical frameworks and recommendations to improve allocation of marketing investment across channels and audiences.
• Leverage experimentation, uplift modelling, forecasting, and performance measurement to continuously improve campaign effectiveness and ROI.
• Partner with data, technology, BI, and engineering teams to develop repeatable analytics products, dashboards, data assets, and standardized reporting frameworks.
• Drive reuse, documentation, automation, and governance of analytical approaches.
• Champion a practical understanding of banking economics, customer value, profitability, and lifetime value.
• Convert client, portfolio, loyalty, and campaign data into actionable insights that inform marketing strategy and investment decisions.
• Lead audience analytics capabilities including segmentation, targeting, lookalike modelling, next-best-action support, and personalization insights for digital, paid media, and direct marketing activation.
• Partner closely with Marketing, Product, Digital, Channel, Finance, and Analytics stakeholders to frame business questions, align on success measures, and communicate findings in a clear, executive-ready manner to senior leadership and non-technical audiences.
• Lead, coach, and develop marketing analytics talent while identifying opportunities to improve analytics processes through automation, AI-enabled workflows, experimentation, and best-practice methods.
• Promote a culture of measurement, learning, and continuous improvement.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior