AI Strategy & Risk Manager

Customers Bank•Malvern, PA

About The Position

The AI Strategy & Risk Manager serves as a coordinator and subject matter resource for Artificial Intelligence (AI) initiatives within the Risk Management organization. This role is responsible for driving the execution, governance, and oversight of AI-related activities across Risk Management while representing the Risk organization in enterprise-wide AI programs, committees, and strategic initiatives. The position will partner closely with business leaders, technology teams, model risk management, compliance, legal, audit, and other stakeholders to ensure the responsible adoption of AI capabilities that align with the Bank’s risk appetite, regulatory expectations, and strategic objectives. The position will also serve as a critical interface with the Bank’s BSA/Financial Crimes Compliance function, ensuring AI tools and models used in transaction monitoring, suspicious activity detection, and customer due diligence processes meet applicable regulatory standards and governance expectations.

Requirements

Bachelor’s degree in Business, Risk Management, Data Analytics, Information Technology, Computer Science, Finance, or a related field.
Minimum 5 years of experience in risk management, governance, project management, compliance, technology, data analytics, or a related discipline.
Strong understanding of risk management principles, governance frameworks, and control environments.
Excellent organizational and project management skills.
Strong written and verbal communication skills.
Demonstrated ability to build relationships and collaborate effectively across business and functional areas.
Strong analytical and problem-solving capabilities.
Proficiency in Microsoft Office applications (Word, Excel, PowerPoint, Outlook).
Experience with project management and collaboration tools such as Jira, Confluence, SharePoint, or similar platforms.
Familiarity with analytics, reporting, and AI-enabled tools.

Nice To Haves

Experience supporting AI, machine learning, advanced analytics, or data governance initiatives.
Familiarity with banking regulations, model risk management, technology risk, operational risk, or emerging technology governance.
Experience working within or alongside a BSA/AML or Financial Crimes Compliance function, including familiarity with transaction monitoring systems, SAR filing processes, or customer due diligence programs.
Professional certifications such as PMP, CRISC, CISA, FRM, CRCM, CAMS, CFE or similar credentials.
Experience working with governance committees, regulatory examinations, or enterprise transformation initiatives.
Knowledge of emerging AI governance frameworks and responsible AI principles.

Responsibilities

Coordinate and manage AI-related projects and initiatives within the Risk Management organization.
Maintain visibility into AI use cases, pilots, implementations, and emerging opportunities impacting Risk Management functions.
Track project milestones, deliverables, risks, dependencies, and resource needs across multiple AI initiatives.
Support the development of roadmaps and strategic plans for AI adoption within Risk Management.
Prepare executive reporting, presentations, and status updates for senior management and governance committees.
Support the implementation and ongoing enhancement of the Bank’s AI governance framework.
Assist in identifying, assessing, and documenting risks associated with AI systems and AI-enabled processes.
Facilitate reviews of AI use cases to ensure alignment with internal policies, risk management standards, and regulatory expectations.
Coordinate documentation, inventories, and governance artifacts related to AI systems used within Risk Management.
Monitor emerging regulatory guidance, industry trends, and best practices related to AI governance and responsible AI.
Evaluate AI-enabled systems used in BSA/AML transaction monitoring, suspicious activity reporting (SAR), and enhanced due diligence (EDD) to ensure alignment with regulatory expectations, model risk management standards, and OCC/FinCEN guidance.
Represent the Risk Management organization on enterprise AI working groups, steering committees, and cross-functional initiatives.
Serve as a liaison between Risk Management and business, technology, data, compliance, legal, and audit teams on AI-related matters.
Coordinate stakeholder engagement and communication efforts to ensure alignment across AI initiatives.
Assist in developing enterprise-wide standards, procedures, and controls related to AI governance and risk management.
Identify opportunities to leverage AI tools and capabilities to enhance risk management processes, reporting, monitoring, and decision-making.
Support evaluation and testing of AI-enabled solutions intended for use within Risk Management.
Analyze trends, metrics, and performance indicators related to AI initiatives and governance activities.
Promote awareness and understanding of AI capabilities, risks, and governance requirements across the Risk organization.
Contribute to training, education, and change management efforts related to AI adoption.
Support internal audits, regulatory examinations, and independent reviews related to AI governance and risk management.
Coordinate responses to information requests and maintain supporting documentation.
Assist in the development and maintenance of policies, procedures, standards, and reporting materials related to AI oversight.
Ensure appropriate records are maintained to support transparency, accountability, and governance expectations.
Partner with the BSA/Financial Crimes Compliance team to assess and govern AI tools deployed in transaction monitoring, AML detection, and customer risk scoring environments.
Support validation and quality control reviews of AI-enabled BSA/AML models and automated decisioning systems, ensuring accuracy, completeness, and regulatory defensibility.
Monitor regulatory developments from FinCEN, OCC, FFIEC, and other bodies related to the use of AI/ML in financial crimes compliance and communicate implications to Risk Management leadership.
Coordinate documentation and audit-readiness materials related to AI use in BSA/AML processes, including model inventories, governance logs, and testing records.