QA Analyst protecting Fellow’s privacy - focused AI meeting assistant across web, desktop, and mobile. Designing holistic tests, maintaining regression automation, and supporting release decisions.
About the role
- Control Tester & Advisor responsible for assessing controls and providing risk advisory support at BMO financial group. Collaborating with business and technology teams to enhance Data & AI governance.
Responsibilities
- 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
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