Senior Manager AML TDI Reporting & Visualization

Canadian Imperial Bank of Commerce•Chicago, IL

2d•Hybrid

About The Position

The US Anti-Money Laundering Transformation, Delivery, and Insights Team (US AML TDI) team is a forward-thinking group driving innovation in anti-money laundering through advanced analytics, technology, and strategic transformation. We enhance the bank’s capabilities in customer risk rating, reporting, and data governance. Our mission is to reduce risk, improve efficiency, and shape the future of AML across the industry.

Requirements

7+ years of experience in financial services, risk/compliance, AML, or related reporting/analytics roles; experience supporting BSA/AML programs strongly preferred.
Demonstrated experience owning recurring metrics/reporting processes with strong controls, documentation, and evidence management.
Demonstrated knowledge of AML data sets and operations, including Transaction Monitoring, Customer Risk Rating, Sanction/Screening
Strong data skills, including advanced SQL and Python programming (required), plus hands-on experience with SAS Viya for data preparation, reporting datasets, automation, and repeatable QA/QC (Alteryx also a plus).
Hands-on experience building dashboards and interactive analytics using SAS Viya (including Visualize and Explore, and ideally CAS for reporting/analytics); and/or in-depth experience with other BI tools (Power BI/Tableau/Qlik) is a plus.
Practical knowledge of data governance concepts and deliverables (data dictionaries, KPI definitions/metrics workbooks, lineage, controls, data quality rules/monitoring, retention) and comfort working with enterprise data management stakeholders.
Strong stakeholder management and communication skills, including the ability to explain complex logic and results to both technical and non-technical audiences.
Proven people leadership, including leading a small, high-performing team; prioritizing work across multiple projects; coaching; and driving delivery under time constraints.
Ability to develop, track, and create deployable reporting pipelines across multiple environments, including SDLC/Agile delivery practices (requirements, testing, UAT, change management) and writing clear deployment instructions (pre- and post-deployment steps) in partnership with Technology on releases.
Good problem-solving skills with a demonstrated ability to evaluate tradeoffs and drive optimal solutions.
Expertise supporting enterprise or business-line AML Risk Assessments, including data compilation, methodology support, evidence management, and senior stakeholder readouts.
Experience supporting regulatory exams, audits, and issue management, including drafting responses and demonstrating reporting controls.
Comfortable working in a hybrid environment and collaborating across multiple time zones and teams.
Master’s degree in information science, Business Analytics, Data Visualization, Computer Science, or related field (required).
A degree in a creative field (e.g., design) combined with a strong technical portfolio will also be considered.

Nice To Haves

Preferred: CAMS (ACAMS) or equivalent AML certification.
Preferred: certifications in data/analytics or BI (e.g., SAS, Microsoft Power BI, Tableau, AWS/Azure, or similar).

Responsibilities

Lead the delivery of accurate, timely, and well-governed AML metrics and reporting.
Partner with AML Advisory/FIU, Technology, and other TDI teams to define requirements, improve data quality controls, and build intuitive reporting and dashboards and executive-ready visualizations that enable decision-making and support regulatory and audit expectations.
Own the AML reporting lifecycle (intake, definition, sourcing, calculation logic, QA/QC, distribution, retention), to support team, management, board, and regulatory reporting deliverables.
Manage and execute AML Risk Assessment (AMLRA) data deliverables, including data sourcing, governance/definitions, QA/QC and reconciliations, refresh cadence management, and production of supporting reporting and SAS Viya Visualize/Explore outputs.
Drive and manage strong data governance practices for AML reporting data (definitions, dictionaries, lineage, controls, evidence, and documentation) aligned to enterprise guidance and internal policies; document projects end-to-end and develop materials to explain findings to technical and non-technical audiences.
Lead the design and delivery of dashboards, scorecards, and ad-hoc visual analytics primarily in SAS Viya (including Visualize and Explore), using a design-centric approach that drives clear, compelling storytelling and decision-ready insights.
Establish and continuously improve data quality monitoring (completeness, validity, timeliness, reconciliation, reasonableness/trending), including escalation, root-cause coordination, and remediation tracking.
Lead the construction and maintenance of backend reporting pipelines and analysis data models, partnering with Technology and vendors as needed; translate business requirements into clear user stories, acceptance criteria, and test plans.
Provide oversight of reporting methodology and controls to ensure outputs are consistent, repeatable, and defensible under audit/model risk/governance review.
Build and manage reporting data models as a product, including development lifecycle/process documentation, change tracking, and ongoing updates.
Manage and develop a team of analysts (and/or oversee matrixed resources), setting priorities, coaching technical skills, and ensuring high-quality execution.
Communicate effectively with senior stakeholders, including synthesizing complex data into clear narratives, commentary, and executive-ready materials.