Control Tester & Advisor – Data & AI Governance

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BMO U.S.

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🏦 Banking

💸 Finance

💳 Fintech

Banking • Finance • Fintech

BMO U. S. is a diversified financial services company operating in the United States. It offers a broad range of financial products and services including personal and business banking, mortgage services, investments, financial planning, insurance, and wealth management. Additionally, it provides commercial loans, commercial mortgages, and other financial solutions tailored for small businesses and large enterprises. The company places a strong emphasis on customer service and offers digital and cross-border banking solutions to meet the needs of diverse clients. BMO U. S. is also involved in asset management and capital markets operations, making it a full-service financial institution.

📋 Description

• Execute design effectiveness (DE) and operating effectiveness (OE) testing of controls related to Data Governance and AI Governance, including data quality, data management, AI lifecycle governance, and ethical AI controls. • Develop and document test steps and test scripts aligned to approved testing methodologies and risk frameworks. • Perform reperformance testing, sampling, and evidence validation to assess control execution. • Apply professional judgment to determine control effectiveness, identify control gaps, and assess residual risk. • Provide risk, control, and process advisory support to business and technology partners related to Data and AI governance. • Advise on control design, control enhancements, and process improvements to address identified risks or emerging governance expectations. • Support and provide input into risk assessments, including identification of inherent risks, evaluation of mitigating controls, and assessment of control coverage. • Assist stakeholders in understanding risk and control expectations, governance standards, and testing outcomes. • Offer guidance on data and AI governance best practices, including alignment to internal policies, standards, and risk frameworks. • Support proactive risk management efforts by identifying potential control weaknesses or governance gaps outside of formal testing cycles. • Lead and conduct walkthroughs with control owners and stakeholders to understand end-to-end processes related to in-scope control activities. • Document process flows, control descriptions, and key risks based on walkthroughs and artifact reviews. • Develop and maintain a working understanding of how data and AI controls operate within business and technology processes, enabling both testing and advisory activities. • Analyze and assess business and governance artifacts, including: Data governance policies, standards, and procedures Data lineage, metadata, and data quality documentation AI governance artifacts (e.g., model lifecycle documentation, approvals, monitoring evidence). • Evaluate whether artifacts sufficiently demonstrate control design, operating effectiveness, and risk mitigation. • Provide advisory feedback to stakeholders where artifacts or documentation do not fully support risk and control expectations. • Identify, document, and clearly articulate control deficiencies, design gaps, and operating issues, including root cause analysis. • Draft clear, risk-based issue descriptions and contribute to discussions on risk severity and impact. • Provide actionable, practical recommendations that balance risk mitigation with business and operational considerations. • Communicate testing results, risk insights, and advisory recommendations to stakeholders in a clear and professional manner. • Act as a primary testing and advisory contact for business partners, technology teams, and risk partners for assigned areas. • Partner with stakeholders to clarify control intent, evidence expectations, risk ownership, and remediation approaches. • Support ongoing governance forums, working groups, or risk discussions related to Data and AI governance. • Contribute to continuous improvement of Data & AI governance testing and advisory practices. • Create and maintain high-quality testing and advisory documentation, including workpapers, test scripts, walkthrough notes, risk assessments, and conclusions. • Ensure work meets quality standards, methodology requirements, and service level expectations while maintaining appropriate independence.

🎯 Requirements

• 3–5 years of relevant experience in control testing, risk management, audit, governance, or advisory functions. • Demonstrated experience performing control design and operating effectiveness testing. • Experience supporting or contributing to risk assessments and control evaluations. • Strong analytical skills with the ability to interpret complex governance, risk, and technical artifacts. • Strong written and verbal communication skills, including issue write-ups and advisory discussions. • Required: CISA, CRISC or CGRC. • Preferred: CDMP or AIGP • Preferred Experience in Data Governance, AI Governance, Model Risk Management, or Technology Risk. • Familiarity with data management concepts, AI/ML model lifecycles, and governance frameworks. • Experience balancing independent testing responsibilities with advisory and consultative support.

🏖️ Benefits

• Health insurance • Tuition reimbursement • Accident and life insurance • Retirement savings plans