Anti-Money Laundering Program Manager

Posted Yesterday
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Oakville, ON, CAN
In-Office
79K-131K Annually
Senior level
Retail
The Role
Lead AML program analytics, business intelligence, dashboards, KPI reporting, data governance, and executive insights. Analyze complex datasets to identify risks, trends, performance gaps, and improvement opportunities. Partner with Data, Technology, Risk, Compliance, and business teams to enhance reporting, data quality, automation, and analytical capabilities. Present recommendations to senior leaders and governance committees while supporting transaction monitoring, sanctions screening, regulatory reporting, audits, and financial crime risk management.
Summary Generated by Built In

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.

#LI-NZ2


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.

Skills Required

  • 7+ years of experience in data analytics, business intelligence, data science, risk analytics, or a related field
  • Advanced SQL skills and experience analyzing and interpreting large, complex datasets
  • Experience with Power BI, Tableau, or similar visualization and business intelligence tools
  • Experience with Databricks, Python, Spark, SAS, or similar analytics platforms
  • Strong data interpretation, storytelling, written, verbal, and presentation skills
  • Experience presenting findings to executives and senior leadership and influencing decisions through data
  • Strong business acumen, critical thinking, and problem-solving skills
  • Experience leading cross-functional analytics or data initiatives
  • Experience partnering with Data, Technology, Risk, Compliance, and business teams
  • Experience with predictive analytics, statistical modeling, machine learning, cloud-based data platforms, or data modernization
  • Experience in financial services, risk, compliance, fraud, AML, or another regulated environment
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The Company
HQ: New York, NY
9,112 Employees

What We Do

HBC is a diversified global retailer focused on driving the performance of high quality stores and their omni-channel offerings and unlocking the value of real estate holdings. Founded in 1670, we are the oldest company in North America.

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