Team Working In A Fun And Innovative Environment
Banking
AILead
Neural analysis suggests this role is
optimal for Lead candidates.
“AI Lead at Team Working In A Fun And Innovative Environment. Skills: AI, GenAI, Governance, Risk management. Act as single point of coordination for AI. Own and coordinate bank’s AI use-case portfolio”
What You'll Achieve.
Measurable business value; Strategic alignment; Regulatory compliance; Scalability
Industry & Context.
Value driven mindset
What They're Looking For.
Must Have
Experience in AI, advanced analytics, digital innovation or transformation roles within banking or other regulated industries, Solid understanding of AI and GenAI concepts, Exposure to AI governance, model risk management, or regulatory frameworks relevant to banking, Proven ability to operate effectively in complex, matrix and federated environments, Senior stakeholder management skills, Clear, structured and concise communication style
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Act as single point of coordination for AI
Own and coordinate bank’s AI use-case portfolio
Ensure prioritization
and alignment with strategic objectives
Act as liaison with Global AI and Group-level
Ensure alignment with enterprise AI initiatives
Proactively identify AI use cases
solutions or practices
Orchestrate a federated AI operating model
Enable collaboration across distributed AI SPOCs
Support identification
shaping and prioritization of AI use
Ensure clear articulation of objectives
Ensure AI initiatives are aligned with banking regulations
Contribute to definition and adoption of enterprise AI
Support definition of AI and model lifecycle principles
Define and monitor value-tracking indicators for AI initiatives
Consolidate insights at enterprise level
Prepare decision-ready materials
insights and recommendations
Act as bridge between business
technology and control
Translate complex AI topics into clear
executive-level communication
technological and regulatory developments
Advise senior leadership on implications for the bank
Ensure AI initiatives are aligned with Global and
Align CIO and Global functions
Align IT investments and expected return and benefits
How You'll Work.
Team & Collaboration
Across business lines; Across control functions; With Global AI; With Group-level stakeholders; Across distributed AI SPOCs; Between business, technology and control functions
Communication Scope
Executive communication; Clear communication; Concise communication; Structured communication
Process & Methodology
Prioritization, Roadmap planning
Full Job Description
The AI Lead is responsible for orchestrating and enabling Artificial Intelligence initiatives across the bank, ensuring strategic alignment, regulatory compliance and measurable business value. The role acts as the central liaison between the CEO and AI SPOCs across business and control functions, operating through functional leadership in a federated and highly regulated environment. The position provides enterprise‑wide visibility and coherence to generative AI adoption, without line management responsibility. **Key responsibilities** * Act as the single point of coordination for AI initiatives across business lines and control functions (e.g. Business, Risk, Compliance, Legal, IT, Operations, HR). * Own and coordinate the bank’s AI use‑case portfolio, ensuring prioritization, coherence, and alignment with strategic objectives. * Act as liaison with Global AI and Group-level stakeholders, ensuring alignment with enterprise AI initiatives and proactively identifying AI use cases, solutions or practices developed in other countries that may be relevant and scalable to the Italian context. * Orchestrate a federated AI operating model, enabling collaboration across distributed AI SPOCs without hierarchical authority. * Support the identification, shaping and prioritization of AI use cases, ensuring clear articulation of objectives, benefits, risks and scalability. * Ensure AI initiatives are aligned with banking regulations, supervisory expectations, and internal policies, including Responsible AI principles. * Contribute to the definition and adoption of enterprise AI standards, including governance frameworks, ethical guidelines and escalation mechanisms. * Support the definition of AI and model lifecycle principles, in alignment with model risk management and regulatory requirements. * Define and monitor value‑tracking indicators for AI initiatives (e.g., adoption, impact, scalability) and consolidate insights at enterprise level. * Prepare decision‑ready materials
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