Director of Data Analytics & AI

Job Title

Director of Data Analytics and AI

Oversee enterprise data analytics, data governance, business intelligence, and artificial intelligence strategy and operations for the Bank. Lead the development and delivery of secure, compliant, and scalable analytics and AI capabilities that support strategic decision-making, operational efficiency, risk management, and customer experience. Establish and maintain data management, model governance, and AI risk management practices aligned with regulatory expectations and industry standards.

Collaborate with business units to implement data-driven solutions while ensuring strong controls over data quality, privacy, model risk, and third‑party technology providers.

The scope of responsibility includes enterprise data architecture, data warehousing and reporting platforms, BI tools, advanced analytics, AI/ML solutions, model lifecycle governance, data quality controls, and analytics‑related vendor platforms across cloud and on‑premises environments.

The following is a list of essential functions, which may be subject to change at any time and without advance notice. Management may assign new duties, reassign existing duties, or eliminate a function.

• Develop and implement the Bank's enterprise data analytics and AI strategy aligned with business goals, risk appetite, and regulatory expectations.
• Collaborate with the CIO and executive leadership on strategic planning, innovation initiatives, and risk assessments related to data and AI capabilities.
• Establish and lead a formal data governance framework including data ownership, stewardship, classification, quality standards, lineage, and retention controls.
• Oversee enterprise reporting, dashboards, and analytics platforms to support finance, risk, operations, compliance, lending, and customer analytics.
• Lead development and controlled adoption of AI and advanced analytics use cases, ensuring appropriate validation, transparency, monitoring, and human oversight.
• Implement and maintain model and AI lifecycle controls including development standards, testing, validation support, performance monitoring, change control, and documentation.
• Partner with Risk, Compliance, and Information Security to align analytics and AI practices with model risk management, privacy, cybersecurity, and consumer protection requirements.
• Ensure data integrity, accuracy, and completeness across critical reporting and decision‑support systems.
• Oversee data architecture, data warehouse/lake, ETL/ELT pipelines, and analytics tooling across cloud and on‑prem environments.
• Establish standards for responsible AI use, including bias monitoring, explainability, auditability, and appropriate‑use controls.
• Manage analytics and AI vendors, platforms, and data providers, including due diligence, contract review, performance monitoring, and third‑party risk coordination.
• Oversee enterprise change management and release controls for analytics models, reporting logic, and AI‑enabled processes.
• Develop and report analytics program metrics, model performance indicators, and data quality KPIs to executive leadership.
• Support regulatory exams and internal/external audits involving data management, reporting accuracy, models, and AI usage.
• Manage departmental budget, staffing, and technology investments related to analytics and AI capabilities.
• Promote data literacy and analytics adoption across business units through training and stakeholder engagement.

• Comply with all applicable regulations and Bank policies regarding employment and employment law.
• Participate in annual compliance and other job‑related training.
• Comply with applicable banking regulations, Bank policies and procedures, and supervisory guidance related to data governance, model risk management, AI usage, and third‑party risk management.
• Support regulatory exam, audit, and risk assessment activities related to analytics, reporting, and AI systems.
• Comply with Bank's internal privacy and ethics standards.

• Internal: Frequent contact with executive leadership, risk management, finance, lending, operations, compliance, and technology teams to…