Senior Manager, AI & Data Initiatives

RBC; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading financial institution in Toronto seeks a Senior Manager for AI & Data Initiatives to drive transformational changes in fraud management through AI and data capabilities. The ideal candidate will have over 5 years of experience in data analytics and proven leadership in high-visibility projects. This role offers an opportunity to make a significant impact within a collaborative and dynamic work environment.

Benefits

Dynamic work environment

Opportunities for advancement

Qualifications

• 5+ years of experience in data analytics, AI & data science, reporting, and working with large datasets.
• Proven experience in leading transformational initiatives and capturing AI and data requirements.
• Strong analytical skills to perform data and gap analysis.

Responsibilities

• Lead cross-functional efforts to identify and implement AI-driven solutions.
• Collaborate with teams across RBC for project requirements and recommendations.
• Manage project risks and ensure communication with stakeholders.

Skills

Leadership

Agile Methodology

Change Management

Communication

Critical Thinking

Tools

HDFS

AWS cloud infrastructure

Snowflake

Kafka

ElasticSearch

Job description

Job Description

What’s the Opportunity

The Senior Manager, AI & Data Initiatives will be responsible for bringing RBC’s AI & Digital Transformation (ADT) program to life. This role will support ADT initiatives within Credit & Fraud Management (CFM), driving ambitious changes across CFM by enhancing machine learning and data capabilities through change initiatives. You will lead cross-functional efforts to identify, develop, and implement AI, ML, and data-driven solutions that improve decision-making, reduce fraud losses, and unlock operational efficiency. In collaboration with teams across RBC, you will represent the collective interests of CFM on ADT initiatives and align deliverables to our overarching data strategy.

What will you do?

• Work closely with Detection, Data Science, and Quantitative & Analytics Monitoring stakeholders to ensure analytics, machine learning, modeling, and reporting needs are met by projects’ data requirements
• Collaborate with the Fraud Strategy, Operations, IT, and teams across the bank in brainstorming and solutioning exercises, provide business recommendation and judgement, and translate priorities into project requirements
• Lead AI and data requirements and planning on systems integration projects, create and execute test plans for CFM use cases, and lead the development of project launch playbooks
• Manage project risks, issues, questions, and critical decisions related to AI and data requirements, ensuring proper steps are taken to mitigate, escalate, and communicate detailed information to senior leadership and CFM stakeholders
• Support the project during post-launch warranty period by establishing a seamless transition to end-users and monitoring production issues
• Understand banking data from multiple lines of businesses and how it can be utilized in the Fraud ecosystem to combat fraudulent behaviours

What do you need to succeed?

Must-have

• Proven experience in leading transformational initiatives and interacting with end-users, business analysts and developers to capture AI and data requirements
• 5+ years’ experience in data analytics, AI & data science, reporting, MIS and working with large, real-world datasets
• Experience in thought leadership and working in a high visibility role, interacting with senior leaders and stakeholders across the organization
• Strong critical thinking and analytical skills to perform data and gap analysis, and resolve complex problems
• Proven communication and negotiation skills, including the ability to effectively communicate AI, data science, and analytical recommendations to technical and non-technical audiences
• Familiarity with technology infrastructure concepts eg. relational databases, data feeds, data structures, APIs, data models
• Excellent time management skills and demonstrated ability to prioritize workload
• Ability to operate autonomously in a fast-paced and ambiguous environment

Nice-to-have

• Experience working in systems-integration projects
• Experience designing use cases, test cases, and data flow diagrams
• Knowledge of HDFS, AWS cloud infrastructure, S3 buckets, Snowflake, Kafka, ElasticSearch, big data analytics and modeling
• Understanding of the Software Development Life Cycle and Agile Project Management
• Understanding of fraud detection and prevention

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• Opportunities to take on progressively greater accountabilities

Job Skills

• Agile Methodology
• Agile Project Management
• Change Management
• Communication
• Leadership

Additional Job Details

Address: YORK MILLS CENTRE, 36 YORK MILLS RD:TORONTO

City: Toronto

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: PERSONAL & COMMERCIAL BANKING

Job Type: Regular

Pay Type: Salaried

Posted Date: 2025-08-20

Application Deadline: 2025-10-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.