Program Manager- Fraud Detection & Control

Summary

We are looking for a Program Manager, Fraud Detection & Control who will lead and coordinate a portfolio of fraud focused initiatives, including technology, analytics, and AI driven capabilities. This role is central to aligning fraud operations, data science, engineering, and business partners toward a unified roadmap that strengthens fraud detection, prevention, and controls across the organization.  In this role, you will strengthen Bell’s fraud control framework by aligning policies and processes across BUs, improving control effectiveness, and reducing financial risk without impacting customer experience. You will work closely with various Business Units to quantify losses, validate control ROI, and ensure all fraud related processes meet audit and governance expectations. 

Key Responsibilities

• Support the delivery of fraud related initiatives across operations, analytics, and technology teams.  
• Translate operational fraud needs into structured technical, analytical, and AI ready requirements, ensuring clarity across cross functional teams.  
• Work with fraud operations, data, and engineering teams to help translate fraud needs into clear technical and analytical deliverables.  
• Oversee requirements intake, backlog management, prioritization, and readiness across multiple fraud workstreams.  
• Coordinate and support UAT activities, including test preparation, issue tracking, and business feedback consolidation.  
• Coordinate and govern UAT execution, including validation of AI driven features, reviewing accuracy and false positive impacts, and ensuring business acceptance.  
• Support the implementation and adoption of AI driven fraud tools, including monitoring feedback from users and identifying improvement opportunities.  
• Drive change management activities, including training, communications, operational readiness, and adoption plans related to new fraud capabilities and AI solutions.  
• Prepare status updates, meeting materials, and program tracking artifacts for program leads and stakeholders. 

Critical Qualifications

• Experience in program management, portfolio management, or multi stream operational/technical delivery.  
• Background in fraud operations, risk, analytics, or related technical/business environments.  
• Ability to translate business or operational fraud needs into clear requirements for engineering, analytics, and AI/ML teams.  
• Experience supporting UAT, readiness assessments, or enterprise technology rollouts.  
• Strong communication and stakeholder management skills across both technical and nontechnical groups.  
• Comfortable with ambiguity, prioritization, and driving execution across several fastmoving teams.
• Demonstrated integrity, sound judgment, and the ability to handle sensitive information with professionalism and confidentiality.  
• Working knowledge of SAP, Excel, and O365 tools; ability to perform intermediate data manipulation, queries, and reporting. 

Desired Qualifications

• Exposure to fraud operations, investigations, controls, or compliance.  
• Familiarity with data workflows, model governance, or analytics tooling.  
• Experience in process optimization, organizational readiness, or transformation programs.  
• Knowledge of Agile, hybrid delivery models, or scaled program framework
• Experience supporting UAT, technology implementations, or operational change initiatives.  
• Curiosity about AI/ML concepts (e.g., how models are trained, tested, and monitored), without requiring hands-on technical expertise.