Group AI ML Manager

Job Title: Group AI ML Manager

RESPONSIBILITIES

• Lead the data anlaytics roadmap to deliver AI & ML solutions with measurable impact across business
• Lead data scientists and data analysts to drive the EDA, development, implementation, ongoing optimization and monitoring of all AI/ML solutions – ensure the team delivers high-quality outputs across the full ML lifecycle
• Contribute to increasing the AI maturity of the company – support both scaling of the team and improvement of processes
• Work closely with business stakehoders on understaning the requirement and use cases and coming up with the right AI/ML based solutions
• Work closely with Product Owner to maintain the analytics (AI/ML) backlog, feature refinement, quarterly prioritisation and regular statuses
• Work closely with Scrum Master to manage the sprint execution, following agile ceremonies and and reolvong blockers.
• Work closely with other data managers for dependencies and aligning on resolving them.
• Follow high quality of governance around delivery and communication.
• Be the AI & ML point of contact in the business, promote data driven practices and analytical solutions.
• Deliver analytical requests of CXOs with executive analysis as requested.

Requirements AND OTHER SPECIFICATIONS – Knowledge, Skills and Experience

• A degree in Computer Science / Information Technology / Statistics / MBA or Economics or a related field.
• Fluent communication skills in English both written and verbal.
• Minimum 6 years + experience as a Data Scientist, Data Analyst or similar analytical role.
• A minimum of 5+ years of progressively responsible experience in developing and managing Data Analytics, Machine Learning and AI functions in a large data-focused organisation

Qualifications, knowledge, specific technology; hard and soft skills required:

• 5+ years of experience in leading and motivating data scientists, data analysts, ML Ops engineers
• Experience in leading development, maintenance of analysts and building AI/ML models
• Excellent knowledge of Personalisation, Recommendation, Prediction, Regression, Segmentation models.
• Good understanding of NLP and Gen AI models.
• Great experience in Data Modelling, Excel, SQL, R, Python, PySpark, Statistics.
• Excellent analytics skills, ability to synthesize information and generate insights.
• Presentation skills in data visualization with storytelling.
• Team player who can share the experience with the team and grow them technically.
• Experience with agile teams and cross-functional collaboration.
• High quantitative and cognitive ability to solve complex problems and think with a vision.

Work and personality characteristics required:

• AI/ML Focused 
• Data-driven 
• Presentation Skills, ability to communicate complex ideas (storytelling skills) 
• Problem solving, critical thinking Skills 
• Leadership Skills 
• Management Skills 
• Communication Skills 

Other specifications, operating environment

• Ability to develop and maintain strong working relationships with internal and external partners. 
• Strong customer ethos and the ability to insights into value creation opportunities and deliverables
• Able to operate efficiently in international environment.
• Committed to continuous learning and staying current with evolving AI/ML trends, tools, and best practices

#LI-KP1