Director of Data and Artificial Intelligence
Job Description & How to Apply Below
SUMMARY
We are seeking a visionary and strategic Director of Data and AI to establish and lead our organization's dedicated data and artificial intelligence function. This is a transformational leadership opportunity to continue to build our data and AI capabilities, driving innovation and competitive advantage across our banking operations. Reporting directly to the Chief Information Officer, this role will be responsible for developing our data ecosystem, implementing AI solutions and establishing the organizational capabilities needed to become a data‑driven financial institution.
ESSENTIAL
JOB FUNCTIONS/RESPONSIBILITIES
Strategic Leadership & Vision
Develop and execute a comprehensive data and AI strategy aligned with the bank's business objectives and regulatory environmentBuild and champion a data‑driven culture across the organization, serving as a thought leader and change agentEstablish governance frameworks, policies, and standards for data management, data quality, and AI ethicsPartner with executive leadership to identify high‑value opportunities for data and AI to drive business outcomesDefine and communicate the strategic roadmap for data infrastructure, analytics capabilities, and AI implementationData Ecosystem Development
Design and implement a scalable, secure data architecture that supports analytics, AI/ML, and business intelligence needsEstablish data governance frameworks including data quality standards, metadata management, and data lineageImplement master data management (MDM) and data integration strategies across disparate banking systemsDevelop data lake/lakehouse and data warehouse solutions optimized for both operational and analytical workloadsCreate policies and processes for data access, security, privacy, and regulatory compliance (GDPR, CCPA, GLBA, etc.)Build data cataloging and discovery capabilities to democratize access to trusted data assetsAI & Advanced Analytics
Identify, prioritize, and implement AI and machine learning use cases that deliver measurable business valueDevelop responsible AI frameworks addressing ethics, bias mitigation, explainability, and model risk managementEstablish MLOps practices for model development, deployment, monitoring, and lifecycle managementCreate predictive and prescriptive analytics capabilities for risk management, fraud detection, customer insights, and operational efficiencyEvaluate and implement generative AI solutions while ensuring appropriate controls and risk mitigationBuild experimentation frameworks and proof‑of‑concept capabilities for emerging technologiesTeam Building & Leadership
Build, develop, and mentor a high‑performing team of data engineers, data analysts, data scientists, and AI specialistsEstablish clear roles, responsibilities, and career pathways for data and AI professionalsFoster a culture of innovation, continuous learning, and technical excellence within the teamDevelop partnerships with universities, technology vendors, and industry organizations to access talent and insightsCreate training programs to upskill staff across the organization on data literacy and AI fundamentalsStakeholder Management & Collaboration
Partner with business unit leaders to understand needs and translate them into data and AI solutionsCollaborate with IT, cybersecurity, compliance, and risk management to ensure integrated approachesManage relationships with technology vendors, consultants, and strategic partnersPresent regular updates to executive leadership and board committees on data and AI initiativesServe as the primary liaison with regulators on data management and AI‑related mattersTechnology & Infrastructure
Select, implement, and manage modern data platforms, tools, and technologiesEnsure data infrastructure scalability, reliability, security, and cost‑effectivenessEstablish cloud data strategies and hybrid architecture approaches as appropriateImplement real‑time data processing capabilities and streaming analytics where neededOversee API development for data access and integration with internal and external systemsQUALIFICATIONS EDUCATION, CERTIFICATIONS
- Bachelor's degree in Computer Science, Data Science,…
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