Sr. Manager, Retention Analytics

Role Overview: We’re seeking a hands‑on analytics professional to lead Retention Analytics at McAfee. In this role, you will provide data‑driven, actionable insights into subscriber journeys, lifecycle performance, and the effectiveness of retention marketing efforts—strengthening retention outcomes. You will partner closely with the Engagement and Retention team, Finance, Product, and the broader Analytics organization to shape annual and quarterly plans, uncover and explain performance trends, identify opportunities, and turn insights into clear, actionable recommendations that drive business impact. You will also lead business planning and forecasting for Retention and ensure findings are communicated effectively through regular business reviews and other leadership forums. As part of McAfee’s analytics organization, you will report to the Senior Director of Engagement and Retention Analytics. You’ll be embedded within key parts of the business, aligned to the customer journey, and bring deep domain knowledge to day‑to‑day collaboration. This is a Hybrid position located in Waterloo or Toronto Canada. You will be required to be onsite on an as needed basis. When you are not working onsite you will work from your home office. We are only considering candidates within a commutable distance of Waterloo or Toronto Canada and are not offering relocation assistance at this time. Job Description: About the role: Lead the Retention Analytics team at McAfee—own insights that inform strategy and execution for Retention, strengthening outcomes. Drive the insights and prepare executive‑ready materials for leadership reviews, clearly communicating retention trends, pacing to plan, and progress on strategic initiatives Build annual and quarterly plans in partnership with key stakeholders across Engagement and Retention, Finance, and Product. Own retention forecasting, monitor performance vs. plan, and communicate risks and opportunities. Measure the impact of retention initiatives and A/B tests, evaluate campaign effectiveness, and optimize messaging based on results. Modernize data reporting, partnering with the Data Engineering Team to automate dashboards, and reduce manual work to focus on high-value analysis and insights. Analyze subscriber behavior to uncover churn risks, conversion levers, and journey pain points. Identify high-value segments for targeting to drive loyalty and reduce churn. Manage and coach a team of 2-4 analysts, setting priorities, reviewing outputs, and investing in skills development. About You: Experience: 7+ years in an analytical, management consulting, finance, or similar role—including people-leadership experience (3+ years). Analytical problem-solving: Proven ability to structure and solve exploratory problems; strong attention to detail and accuracy in analysis and reporting; effective decision-making under uncertainty. Business communication: Excellent verbal/written communication; ability to translate complex concepts into simple, executive-ready narratives and visuals. Productivity & tools: Advanced Excel and MS Office (PowerPoint, Word, Outlook). Data & coding fluency: A self-starter who isn’t afraid to get hands dirty—comfortable using SQL, Python, and generative AI tools as needed to access data and deliver analysis, even if not a coding expert. Ways of working: Thrives in a fast-paced environment; collaborates across time zones; builds strong relationships and cross-functional alignment to accomplish objectives. #LI-Hybrid Accommodations: McAfee recognizes and supports its obligation to reasonably accommodate applicants and employees with disabilities. We are here to help. Please let us know if you need a reasonable accommodation for any part of the application, interviewing, hiring, or at any other time during the employment process. Please do not include personal medical information in the email. Diversity is foundational for our business success. We want to be a workplace of choice for all people and we value the unique perspectives offered by a diverse workforce. McAfee does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, citizenship, disability, protected veteran status, age, ancestry, medical condition, genetic information, marital status, pregnancy, or any other legally protected status. This principle applies to all areas of employment: recruitment and hiring, training, performance evaluations, promotions and transfers, compensation and benefits, and social and recreational programs. McAfee desires to be an employer of choice with an inclusive environment for all individuals. As part of this goal and in compliance with various laws and regulations, McAfee provides reasonable accommodation to applicants and employees. Requests for reasonable accommodation for applicants and employees are evaluated on a case-by-case basis. Posting Statement: McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Lead the Retention Analytics team to provide insights that inform strategy and execution for retention efforts. Drive insights and prepare executive-ready materials for leadership reviews, while managing forecasting and performance monitoring.

Candidates should have 7+ years of experience in an analytical role, including 3+ years of people-leadership experience. Strong analytical problem-solving skills and excellent communication abilities are essential.

• Data analysisPreferred

Identified from the job description. Confirm important requirements above.

• Analytics
• Retention
• Data-Driven Insights
• Business Planning
• Forecasting
• A/B Testing
• SQL
• Python
• Data Reporting
• Team Management
• Communication
• Problem-Solving
• Collaboration
• Excel
• MS Office
• Customer Journey

• Data & Analytics
• Management & Leadership
• Technology
• Marketing
• Customer Service & Support

Minimum experience

7+ years

Posting language

English

Working hours

40 hours per week