Data Analytics & Artificial Intelligence Audit Manager

The Data Analytics & & Artificial Intelligence (AI) Audit Manager supports the Deputy Chief Audit Officer (DCAO) in leading, overseeing, and strategically enhancing the internal audit function by embedding data analytics and AI into audit planning, execution, and reporting. This role combines advanced technical expertise with leadership and risk management skills to assess the integrity, risk, and controls around data-centric and AI-enabled systems. 

 By joining our team, you’ll be joining a Bank that believes that maintaining a diverse and inclusive workplace where everyone feels valued and respected is essential for us to grow as a company. We are dedicated to building a more equitable world in our everyday practices by embracing the values of our employees and customers.

 

SPECIFIC RESPONSIBILITIES:

The Data Analytics & Artificial Intelligence (AI) Audit Manager is responsible for the execution of internal audits focusing on data analytics and artificial intelligence systems and controls. The role involves assessing risk, evaluating algorithm integrity, validating data governance, and ensuring compliance with AI-related regulations and ethical standards. Additionally, the position will strategically enhance the internal audit function by embedding data analytics and AI into audit planning, execution, and reporting.

Responsibilities include:

      Leadership & Strategy

• Lead a team of auditors and data specialists in planning and delivering risk-based audits, with a focus on data analytics, automation, and AI-related areas.
• Act as a subject matter expert (SME) on data analytics and AI within the audit function, supporting capability development and training.
• Advise executive leadership on risks associated with AI adoption, algorithmic decision-making, and emerging technologies.
• Drive the integration of data analytics and AI audit methodologies into the overall audit framework.

      Audit Delivery

• Oversee audits of AI systems, data pipelines, and digital platforms, including assessments of model fairness, transparency, bias, and compliance.
• Evaluate the effectiveness of data governance, model risk management frameworks, and automated controls.
• Ensure audits are compliant with regulatory requirements and internal policies, including AI regulations.
• Review and approve audit reports with clear, concise, and value-driven findings and recommendations.
• Assist the DCAO in performing and supervising audits, identifying critical control issues, and recommending corrective actions for various business lines, including but not limited to: Commercial Banking, Commercial and Residential Lending, Accounting, Treasury, Bank Operations, Trust and Vendor Management.

• Coordinate the department’s risk assessment process by assisting audit staff in performing risk assessment workshops.
• Supervise the work of the Staff Auditor as it relates to the assigned audit in accordance with professional standards. Provide coaching to ensure assignments are adequately planned in advance, answering questions, providing technical assistance and information to adequately prepare audit staff, ensuring work is performed in accordance with Internal Audit’s standards, and preparing staff assessments with input from the DCAO.
• Provide assistance and guidance to the Internal Audit co-source firm to ensure a timely and efficient completion of their audits. 
• Assist the DCAO on special projects and assignments, including regulatory requests.
• Maintain core competencies in understanding of bank operations and key industry risks. 

      Stakeholder Engagement

• Engage with business units, technology teams, and risk owners to understand and assess risks related to data and AI.
• Represent the audit function in senior management meetings, risk committees, and external regulatory interactions when relevant.
• Influence change by promoting ethical and responsible AI use across the organization.

 

Knowledge, Skills and Experience Requirements:

Education:

• Bachelor’s or Master’s degree in Information Systems, Data Science, Computer Science, Accounting, Finance, or a related field. 

Preferred professional certifications:

Certified Internal Auditor (CIA), Certified Information Systems Auditor (CISA), Certified Analytics Professional (CAP), ISO/IEC 42001 or other AI governance frameworks. Certification or training in AI ethics, data governance, or model risk management (e.g., MIT AI Ethics, NIST AI Risk Framework),

Experience:

• 10+ years in internal/external audit or risk assurance, with at least 4 years in a leadership role.

• Significant experience auditing or managing risks in data analytics, machine learning, or AI environments.
• Strong background in IT risk, data governance, and regulatory compliance.
• Demonstrated experience in managing and developing high-performing audit teams.

Skills & Competencies:

Technical

• Deep knowledge of AI/ML systems, model lifecycle, and related controls.
• Understanding of data analytics tools (e.g., Tableau, Python, SQL, Power BI, R) and audit automation.
• Awareness of cloud computing, big data architecture, and cybersecurity risks in AI systems.
• Knowledge of Workiva audit database and Workiva AI capabilities is a plus.

Leadership

• Strategic thinker with a proactive and adaptive leadership style.
• Strong verbal and written communication skills to influence senior stakeholders and explain complex issues simply.
• Ability to manage multiple priorities and high-risk audit engagements and supervising audit staff.

• Exceptional supervisory, analytical, interpersonal, time management, and research.

Desirable Attributes

• Passion for technology, innovation, and continuous improvement.
• Ethical and analytical mindset, committed to responsible AI oversight.
• Comfortable operating in ambiguous and fast-evolving regulatory landscapes.

Our job titles may span more than one career level. The starting base salary for this role is between $180,000.00 – $190,000.00. The actual base pay is dependent upon many factors, such as: training, transferrable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future.

Amalgamated Bank is an Equal Opportunity and Affirmative Action Employer, Minorities / Females / Individuals with Disability / Veterans. AmeriCorps, Peace Corps and other national service alumni are encouraged to apply. View our Pay Transparency Statement. Submission of a resume or any information regarding your qualifications does not constitute a promise or offer of employment. At Amalgamated Bank, we consider an applicant to be someone who has interviewed at least once, in person, with the hiring manager. Amalgamated Bank does not sponsor applicants for work visas.

Hybrid Work Model 
Effective February 18, 2025, employees in office-based positions will be working a Hybrid work schedule consisting of three days or more, on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, the contact center, branch service roles, and general services where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance does not apply to roles that have been designated as “remote”.
Search Firm Representatives- Please Read Carefully 
 Amalgamated Bank does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for the position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.