CIB Chief Data and Analytics Control Manager - Executive Director

Position Overview:

We are excited to invite you to join our dynamic team as the CIB Chief Data and Analytics Control Manager. In this role you will serve as a Control Manager Executive Director responsible for leading and building out an enhanced control framework that supports a continuous and integrated approach to risk assessment. You will oversee governance controls and tooling strategies for our data analytics and AI initiatives ensuring that our systems are developed deployed and maintained in a manner that is ethical compliant and aligned with industry best practices.

You will collaborate closely with our Chief Data Officer (CDO) and Chief Analytics Officer (CAO) to ensure alignment with our data and analytics strategies. Additionally you will ensure the team assists in topdown risk analysis realtime control issue detection escalation root cause analysis and remediation based on the aforementioned control framework and principles. We are looking for a highly skilled and experienced professional like you to make a significant impact in this position.

Key Responsibilities:

• Develop and implement governance frameworks and controls for data analytics and AI systems to ensure compliance with regulatory requirements and ethical standards.
• Lead the design development and maintenance of tooling and infrastructure to support robust and scalable data and AI solutions.
• Collaborate with the CDO and CAO to align data analytics and AI governance and tooling strategies with organizational objectives.
• Provide leadership support for the endtoend execution of the Control and Operational Risk Evaluation (CORE) including control deficiencies and resolutions to reduce financial loss regulatory exposure and reputational risk.
• Monitor and assess the performance and impact of data analytics and AI systems identifying and mitigating risks associated with their deployment.
• Review and analyze programrelated data (e.g. KRI/KPI) to proactively identify existing and emerging operational risks and issues to support businessrelated programs and strategies.
• Interact and collaborate with Control Leaders and their respective organizations as well as key partners across the CIB.
• Collaborate with crossfunctional teams to create a Community of Practice including data scientists engineers legal and compliance to ensure alignment with governance policies and procedures.
• Manage and motivate a team focused on reducing financial loss regulatory exposure and reputational risk. Provide ongoing feedback and training and develop employees on risk concepts and the application to risk and control evaluation. Provide guidance and training to team members on data analytics and AI governance best practices and tooling usage.
• Stay current with industry trends emerging technologies and regulatory changes related to data analytics and AI governance and controls uplifting existing governance and controls as needed.
• Drive continuous improvement initiatives to enhance the effectiveness and efficiency of tooling (UT ISS AT and Estimations) within the CIB Controls organization.

Qualifications:

• Highly motivated individual with advanced skills in strategy problemsolving transformation and delivery execution as well as strong influencing interpersonal and communication skills.
• Bachelors or Masters degree in Computer Science Data Science Engineering or a related field.
• Audit internal control or operational risk experience.
• Proven experience in data analytics and AI governance controls and tooling with a strong understanding of AI/ML technologies and frameworks.
• Proficient knowledge of control and risk management concepts with the ability to design create and evaluate the operational risk and control environment in conjunction with business partners.
• Indepth knowledge of regulatory requirements and ethical considerations related to data analytics and AI. Familiarity with data privacy and security standards such as GDPR CCPA and HIPAA.
• Excellent communication and interpersonal skills with the ability to collaborate effectively with crossfunctional teams.
• Strong project management skills with the ability to manage multiple initiatives simultaneously.

Preferred Qualifications:

• Professional certifications in AI data science or related fields.
• Experience in a leadership or managerial role.
• Knowledge of software development lifecycle (SDLC) and agile methodologies.
• Experience with data analytics and AI/ML tooling and infrastructure