Responsibilities:

• Review the existing GenAI CA Productivity Analysis PoC and enhance and develop future roadmap and delivery strategy
• Identify specific use cases and technical patterns where GenAI CAs is most influential
• Identify the key challenges, headwinds and accelerators, best practices for adoption of GenAI CAs
• Input to a data science strategy for measuring GenAI CAs benefits with the GenAI CAs programme manager
• Help define a delivery strategy and phased plan, clear objectives, scope and operational implementation of MVPs

Work with the programme manager to:

• Explain the actionable insights to senior stakeholders

Requirements:

• Track-record of developing knowledge acquisition, knowledge transfer, communities of interest, processes and content
• Proven ability to deliver globally across matrix-based organisations
• Strong Influential communication and interpersonal skills, able to operate well across cultures and in multicultural, diverse work environment
• Proficiency in verbal and written English, especially proficient in email communication, ppts, and in occasionally rewriting English content when written by a non-native speaker
• Willing to learn, explore and implement new and emerging technologies
• Ability to work in a fast-paced dynamic environment to deliver high quality results under tight schedule and pressure
• Proven experience in data analysis, particular in software development context
• Strong understanding of SDLC, Deployment and DORA metrics and their relevance to developer productivity
• Experience in translating data analysis into actionable business or operational insights
• Familiarity with GenAI technologies, specifically coding assistant like GitHub Copilot
• Exposure to data Analytics and processing using Python/R/SQL/Jupyter notebook or similar toolkits
• Deep understanding of data modelling
• Exposure to Machine Learning Libraries e.g. Scikit-learn/XGboost/Keras/Pytorch or similar