AI Adoption and Transformation Lead

Job Description

Job Requirements

• AI adoption, digital transformation, automation, or technology delivery in a business or regulated context.
• Practical generative AI, LLM, agent, and workflow-automation knowledge; translating business needs into technical solutions.
• Running pilots through to production; working with senior stakeholders and cross-functional teams.
• Evaluating vendors, building business cases, and managing third-party risk.
• Governance, risk, security, or compliance; creating policies, frameworks, or operating models.

Technical And Ai

• Strong grasp of generative AI, LLMs, agents, automation, and data-driven decision support.
• Understanding of prompt engineering, RAG, workflow design, and human-review models.
• Ability to evaluate platforms and their limitations; working knowledge of APIs, integrations, access control, and cloud.

Business And Transformation

• Strong business analysis and process optimisation; sharp prioritisation and ROI focus.
• Roadmap, business-case, and operating-model development.
• Solid project management across planning, scheduling, dependency tracking, risk/issue management, and stakeholder reporting.

Governance And Risk

• Understanding of responsible AI, privacy, security, and operational risk; ability to assess data sensitivity and regulatory exposure.
• Familiarity with security- and privacy-by-design; comfort working with legal, risk, and security stakeholders.
• Regulated-environment experience highly desirable.

Communication And Leadership

• Excellent written and verbal communication; able to explain complex AI in plain business language.
• Able to influence senior stakeholders, lead workshops, and drive governance discussions.
• Strong documentation discipline with a functional mindset ensuring concepts translate into execution.

Qualifications

• Degree in Computer Science, Information Systems, Data Science, Engineering, Business Technology, or a related field — or equivalent experience.
• Advantageous certifications: AI governance / responsible AI, cloud, project management, or business analysis.
• Practical and delivery-oriented; analytical, curious, and innovation-driven.
• Risk-aware without being restrictive; balances speed, control, and value.
• Strong stakeholder management; able to challenge unrealistic AI expectations.
• Disciplined in documentation; high integrity and confidentiality.

Nice-To-Have And Preferred

• GDPR, EU AI Act, ISO 27001, PCI DSS knowledge in a financial services or fintech context.
• Third-party and model risk management; internal audit experience.
• Enterprise AI platforms; vector databases and RAG; low-code/no-code automation.
• Secure software development practices.

Strategy & Roadmap

• Develop the AI strategy in line with business priorities and risk appetite.
• Maintain a practical roadmap from short-term pilots to long-term maturity, underpinned by an AI maturity model.
• Define KPIs, ownership, timelines, and governance checkpoints; report progress to senior management.

Use-Case Delivery

• Work with department heads to surface opportunities; assess each on value, complexity, data sensitivity, regulatory impact, risk, and ROI.
• Lead pilots, PoCs, and controlled rollouts; translate requirements into functional specs.
• Coordinate internal teams, vendors, and business users ensuring every use case has a clear owner, defined process impact, measurable benefit, and human accountability model.

Governance, Risk & Compliance

• Create an AI system inventory (tools, use cases, owners, data types, vendors, risk ratings) and approval workflows.
• Coordinate AI risk assessments across privacy, security, confidentiality, bias, explainability, resilience, and regulatory exposure.
• Partner with Legal, Security, and Data Protection to align with GDPR, EU AI Act, ISO 27001, PCI DSS, DORA, NIS2, and internal policies.
• Embed human-in-the-loop controls for high-impact use cases.

Secure Adoption

• Prevent confidential, regulated, or personal data from reaching public AI tools.
• Mitigate AI-specific risks: prompt injection, data leakage, hallucination, insecure integrations, uncontrolled agents, and vendor lock-in.
• Ensure platforms ship with SSO, RBAC, DLP, logging, audit trails, encryption, contractual safeguards, and incident escalation.
• Support secure internal assistants built on approved data sources and controlled retrieval.

Tools & Vendors

• Evaluate AI tools, LLM providers, automation platforms, and agents; produce comparisons, business cases, and recommendations.
• Support procurement and due diligence across security, privacy, data processing, hosting, contracts, and model-training practices.
• Onboard vendors through third-party risk management; monitor performance, cost, and risk.

Recruitment & Enablement

• Help HR define AI roles and skills; build JDs, interview questions, and scoring criteria.
• Create training, playbooks, and awareness programmes promoting responsible use.
• Help teams redesign workflows around AI without introducing unacceptable risk.

Stakeholder Management & Change

• Act as the central coordination point for AI adoption across all functions and leadership.
• Facilitate workshops and risk reviews; build confidence through low-risk, high-value wins.
• Communicate clearly to technical and non-technical audiences; manage resistance so adoption supports rather than disrupts people.

Measurement & Reporting

• Define adoption KPIs and value metrics tracking impact on productivity, cost, quality, cycle time, and decision support.
• Report to senior management on roadmap progress, use-case delivery, risk, tool usage, policy compliance, shadow-AI indicators, and vendor performance.
• Use data and feedback to continuously refine the roadmap.

Job Benefits

• Competitive salary package aligned with experience and market standards.
• Medical Insurance starting from day 1.
• Access to training resources and development opportunities that support your professional growth.
• Well-stocked office with snacks, drinks, and refreshments available daily.
• A multinational organisation that promotes a strong, collaborative culture
• Regular team-building events and company activities that strengthen collaboration across teams.
• Employee Recognition Program celebrating our "Employee of the Month" with special perks.