Anti-Money Laundering Program Manager
- Oakville, ON, Canada
Broadband Salary Range: $79,000 – $131,000. · Full-time
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Job details
- Pay
- Broadband Salary Range: $79,000 – $131,000.
- Job type
- Full-time
- Apply by
- Experience
- 7+ years of experience in data analytics, business intelligence, data science, risk analytics, or a related field.
- Posting language
- English
- Posted
Original job description
What You’ll Do
Reporting to the AVP, Anti-Money Laundering, you will lead data analytics, insights, and performance reporting for the AML program. Your primary focus will be transforming complex data into clear, actionable insights that help senior leaders understand performance, identify trends and risks, and make informed business decisions.
You will act as a trusted analytics partner to executives and senior stakeholders, combining strong analytical expertise with business judgment and data storytelling. You will work across Data, Technology, Risk, Compliance, and business teams to strengthen reporting, improve data capabilities, and support strategic decision-making.
Key Responsibilities
- Analyze large and complex datasets to identify trends, patterns, risks, performance gaps, and opportunities, translating findings into meaningful business insights and recommendations.
- Interpret data in the context of business objectives, moving beyond reporting numbers to explain what the data means, why it matters, and what actions should be taken.
- Develop and enhance dashboards, KPIs, management reporting, and business intelligence solutions that provide senior leaders with a clear view of performance, risk, and emerging trends.
- Prepare and present data-driven insights, recommendations, and business cases to executives, senior leadership, and governance committees, making complex analytical findings easy to understand.
- Partner with senior stakeholders to understand business challenges, define the right analytical questions, and determine how data can support strategic and operational decision-making.
- Lead analytical initiatives from problem definition and requirements gathering through analysis, interpretation, recommendations, and implementation.
- Partner with Technology and Data teams to improve data sourcing, reporting capabilities, automation, data quality, and analytical solutions.
- Establish effective data governance, reporting controls, and quality standards to ensure business reporting and analysis are accurate, consistent, and reliable.
- Identify opportunities to use advanced analytics, automation, predictive methods, and emerging technologies to improve reporting and decision-making.
- Apply analytics to support AML and financial crime risk management, including areas such as transaction monitoring, operational performance, customer risk, sanctions screening, regulatory reporting, audits, and risk assessments.
What You Bring
- 7+ years of experience in data analytics, business intelligence, data science, risk analytics, or a related field.
- Advanced SQL skills and demonstrated experience analyzing and interpreting large, complex datasets.
- Strong experience with Power BI, Tableau, or similar visualization and business intelligence tools.
- Experience with analytics technologies such as Databricks, Python, Spark, SAS, or similar platforms.
- Strong data interpretation and storytelling skills, with the ability to turn complex analysis into clear insights and recommendations.
- Proven experience working with executives and senior leadership, including presenting findings and influencing decisions through data.
- Strong business acumen, critical thinking, and problem-solving skills, with the ability to independently navigate complex or ambiguous business problems.
- Excellent written, verbal, and presentation skills with the ability to communicate effectively with technical and non-technical audiences.
- Experience leading cross-functional analytics or data initiatives and partnering with Data, Technology, Risk, Compliance, and business teams.
- Experience with predictive analytics, statistical modelling, machine learning, cloud-based data platforms, or data modernization is an asset.
- Experience in financial services, risk, compliance, fraud, AML, or another regulated environment is an asset. Deep AML expertise is not required.
Role Profile
This is a Manager - level individual contributor role with no direct people management responsibilities. The successful candidate will act as a senior analytics advisor, using data, business understanding, and strong communication skills to influence decisions and support senior leadership.
The ideal candidate is first and foremost a strong data analytics professional who can interpret data and tell the story behind it. They should be comfortable engaging with executives, challenging assumptions, identifying the most important insights, and translating complex analysis into clear recommendations and actions. AML expertise is valuable, but the priority is finding someone with the analytical depth, business judgment, and executive presence to use data effectively in a complex business environment.
Broadband Salary Range: $79,000 – $131,000.
Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role.
This posting represents an existing vacancy within our organization.
We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.
About Us
At Canadian Tire Services Limited/Canadian Tire Bank, it is our mandate to continue to create innovative and rewarding financial solutions for our customers. Our growing suite of products and services showcase the dynamic contributions from our employees and our success is driven by a strong vision, loyal customers, and our ability to build teams that reflect the diverse customers and communities in which we live and work. Join us, where there's a place for you here.
Our Commitment to Diversity, Inclusion and Belonging
We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better. .
Accommodations
We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.
More about this job
Responsibilities
You will lead data analytics, insights, and performance reporting for the AML program to support strategic decision-making. This involves transforming complex datasets into actionable business insights and partnering with cross-functional teams to improve data capabilities.
Requirements
Candidates must have 7+ years of experience in data analytics or a related field with advanced SQL and data visualization skills. Strong business acumen and the ability to communicate complex analytical findings to senior leadership are essential.
Skills
- Data Analytics
- Business Intelligence
- SQL
- Power BI
- Tableau
- Databricks
- Python
- Spark
- SAS
- Data Storytelling
- Risk Management
- Financial Crime
- Anti-Money Laundering
- Predictive Analytics
- Statistical Modelling
- Data Governance
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Finance & Accounting
- Management & Leadership
- Technology
Keywords
- Anti-Money Laundering
- Data Analytics
- Business Intelligence
- SQL
- Power BI
- Tableau
- Databricks
- Python
- Spark
- SAS
- Risk Management
- Financial Crime
- Transaction Monitoring
- Sanctions Screening
- Regulatory Reporting
- Data Governance
- Predictive Analytics
- Statistical Modelling
- Machine Learning
- Cloud-based Data Platforms
- Data Modernization
- Financial Services
- Compliance
- Fraud
- Management Reporting
- KPIs
- Data Storytelling
- Strategic Decision-making
- Automation
- Data Quality