Role Description 

• Apply AI, automation, and advanced analytics to solve complex business and operational challenges across transformation programs. 

• Use generative AI tools (e.g., Microsoft Copilot, ChatGPT, Claude, and emerging platforms) to accelerate research, synthesis, documentation, analysis, and solution design. 

• Analyze existing processes and systems to identify opportunities for simplification, automation, and step-change improvements through AI-enabled ways of working. 

• Design and prototype AI-enabled workflows, decision-support tools, and productivity accelerators across functional domains (finance, operations, IT, customer experience, etc.). 

• Translate ambiguous problem statements into structured hypotheses, experimentation plans, and data-driven insights. 

• Partner with cross-functional teams to test, refine, and scale AI-powered solutions that fast-track transformation outcomes. 

• Stay current on emerging AI capabilities, models, and tooling, bringing fresh thinking and innovative ideas into enterprise environments. 

• Document learnings, insights, and solutions in a clear, compelling way suitable for executive and technical audiences. 

• Contribute to building repeatable playbooks and frameworks for applying AI across transformation initiatives. 

Skill Level Requirements 

• Strong foundation in computer science, artificial intelligence, data science, machine learning, or related technical fields (academic or applied). 

• Demonstrated proficiency with modern AI and generative AI tools, such as:  

• Microsoft Copilot 

• ChatGPT 

• Claude 

• Similar large language model (LLM) platforms and AI developer tools 

• Exceptional problem-solving and critical-thinking skills, with the ability to break down complex, ambiguous challenges. 

• Ability to rapidly learn, experiment, and adapt to new technologies, tools, and ways of working. 

• Experience or coursework in areas such as algorithms, data structures, machine learning, natural language processing, or software engineering. 

• Comfort working with data, models, prompts, and experimentation to test and refine AI-driven solutions. 

• Strong communication skills — able to explain technical ideas clearly to both technical and non-technical audiences. 

• Self-directed, intellectually curious, and motivated by impact, innovation, and real-world application of emerging technology. 

• Collaborative mindset with the confidence to challenge assumptions and propose bold, creative solutions. 

Behaviors and Competencies 

• Leadership: Can demonstrate a willingness to take charge and lead a team when assigned. 

• Communication: Can communicate simple ideas and information clearly. 

• Customer Service: Can provide responsive and courteous assistance to customers. 

• Follow-Through: Can demonstrate a willingness to complete assigned tasks and responsibilities on time. 

• Detail-Oriented: Can demonstrate an ability to follow instructions and complete tasks as assigned. 

• Willingness to Learn: Can demonstrate interest in learning new things and seeks opportunities for personal and professional development. 

• Planning: Can demonstrate a willingness to plan tasks and responsibilities when assigned. 

• Digital Acumen: Can demonstrate an understanding of basic digital tools and technologies. 

• Self-Motivation: Can demonstrate a willingness to take on tasks and responsibilities independently when assigned.