through reusable libraries, templates, refer ence implementations, and engineering enablement. Governance, Risk & Responsible AI Ensure AI systems are designed with appropriate controls for security, data protection, access management, auditability, and model risk. Define and promote responsible AI practices including evaluation, explainability considerations, fallback behavior, guardrails, and human … related AI developer ecosystems. Proven ability to influence technical strategy across teams without relying solely on direct reporting authority. Strong understanding of cybersecurity controls, data privacy, model risk management, governance, and compliance expectations in regulated financial-services environments. In-depth knowledge of industry trends and thought leadership ...