Success here will lead to industry-defining insights into how GenAI coding assistants impact developer effectiveness. The outcomes will play a critical role in improving the productivity of over 20,000 engineers and help set a new benchmark for how software teams adopt and measure the value of GenAI in real-world development environments.
responsibilities :
Review the current GenAI Coding Assistant (CA) Productivity Analysis proof of concept and contribute to shaping its future roadmap and delivery strategy.
Identify high-impact use cases and technical patterns where GenAI CAs provide the greatest benefit to developers and teams.
Analyse and document key challenges, barriers, enablers, and best practices for the effective adoption of GenAI CAs.
Collaborate with the GenAI CAs programme manager to help shape a data science strategy for measuring GenAI CA effectiveness and ROI.
Leverage internal software development lifecycle (SDLC), deployment, and engineering performance metrics (e.g., DORA) to gather, analyse, and interpret productivity-related data.
Work closely with data analysts and data scientists to refine analytical models and methodologies for assessing GenAI CA impact.
Define a delivery approach, including a phased implementation plan, clear objectives, and operational rollout of minimum viable products (MVPs).
Partner with the programme manager to:
Communicate actionable insights and findings to senior stakeholders in a clear and compelling way.
Translate insights into tangible actions by supporting delivery teams in designing and executing sub-projects aimed at improving developer productivity and maximizing GenAI CA value.
requirements-expected :
Self-starter.
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 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
offered :
Work on ambitious, large-scale projects with modern technologies
A supportive environment focused on growth and collaboration
Real impact on the product and business
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
