Establish and lead the Bank’s AI Adoption Center of Excellence (CoE), driving the responsible, secure, and value-driven integration of Artificial Intelligence (AI), Generative AI (GenAI), and Intelligent Automation across business and technology domains.
Requirements
- 10+ years of experience in technology strategy, data analytics, or intelligent automation, with at least 2 years leading enterprise-level AI or digital transformation initiatives.
- Proven leadership in developing and executing AI/automation strategies at scale.
- Deep understanding of AI/ML technologies, Generative AI platforms, and automation tools (e.g., Microsoft CoPilot, RPA platforms, NLP, LLMs).
- Strong grasp of data governance, cybersecurity, model risk management, and regulatory compliance frameworks.
- Experience in financial services or a regulated industry is strongly preferred.
Responsibilities
- Establish the AI Adoption Center of Excellence (CoE) as the enterprise hub for AI strategy, governance, and enablement.
- Develop and execute the AI adoption roadmap aligned with the Bank’s strategic objectives, risk appetite, and regulatory obligations.
- Prioritize and sequence AI initiatives to maximize enterprise value, alignment, and adoption.
- Partner with executives across business, risk, compliance, data, and IT to prioritize and scale AI use cases that deliver measurable value.
- Advocate for responsible AI adoption that emphasizes transparency, explainability, fairness, and data ethics.
- Oversee the AI Governance Framework, including risk assessment, vendor review, model validation, and ongoing performance monitoring.
- Lead an AI Use Case Portfolio, coordinating with business leaders to identify and assess opportunities in customer engagement, operations, compliance, and risk management.
Other
- Bachelor’s degree in computer science, Data Science, Engineering, or related field.
- Excellent communication and executive presentation skills—able to translate complex AI concepts into business outcomes.
- Strategic thinker with hands-on delivery mindset and cross-functional influence.
- This role is eligible for a hybrid schedule; 3 days in the office and 2 days work from home based on business need.
