Job Description

Job Function
Strategy and Transformation
Job Summary
The Manager - Analytics and Artificial Intelligence ( Strategy & Transformation) is someone who lives and breathes data. He/she is someone who is "T" shaped - With numerous IT related skills, communication skills, strategy skills with a deep specialisation in data analytics. He/she works data analytics projects - from gathering the data to doing up visualisations that aim to provide value to the business.
He/she extracts and integrates data from various sources, and creates advanced models and algorithms suitable for the business use case. He conducts testing on data and AI models, interprets findings from testing, and evaluates model performance for scaling and deployment. He develops compelling and logically structured communication materials to facilitate stakeholder buy-in.
He/she works in a team setting and is proficient in statistics, scripting and programming languages required by the organisation. He is also familiar with the relevant software platforms on which the solution is deployed on.
He/she has strong analytical and critical thinking skills to identify and solve problems. He/she is passionate about analysing and resolving complex business problems, displaying intellectual curiosity towards using data and AI to address business needs and challenges. He/she is a data storyteller, and is able to influence key stakeholders and spearhead a data driven approach to resolve business issues.
Being the leader of the team, he/she must be comfortable with interfacing with the C-suite, making difficult decisions and managing team morale. This person is the point person for all things data in the organisation. He/she must be a superhero and have exceptionally high intelligence quotiant, emotional quotiant and adversity quotiant.
Job Responsibilities/Key Tasks(External)
Operations and Data Analytics

• To conduct analysis to determine best path for solving business problems

• Conduct extraction and integration of data including features from different data sources

• Account for data ethics and policies in model selection and evaluation process

• Spearhead projects that increase the efficiency and effectiveness of the supply chain control tower

Build and assess models

• Develop multiple models and algorithms suitable for the use case
• Perform model comparison to draw inferences on variable importance
• Select the best model based on pre-defined evaluation criteria
• Interpret and evaluate model performance for scaling and deployment
• Conduct testing on final model in real-time business conditions prior to deployment
• Document modelling techniques used and assumptions made against test outcomes
• Enable end user capability to use data analytics effectively
• Evaluate autonomous monitoring solutions to scale human oversight

Present data driven business value of data science/AI models

• Create reports and deliverables based on insights derived from the model results
• Develop compelling, logically structured presentations including story-telling of research and/or analytics findings to secure stakeholder commitment
• Contribute to the creation of leading-edge resources, including playbooks, guides, blog posts, videos, etc.

Leadership

• Champion the data analytics narrative to both internal and external stakeholders
• Manage the budgeting and financing of the team

Others

• Undertake any assigned projects / duties directed by Management (If any)

Job Requirements

• Strong programming skills in Python, R, SQL.
• Proficiency in machine learning techniques such as supervised/unsupervised learning and deep learning
• Familiarity with data manipulation, statistical analysis and machine learning theories is preferred
• Proficiency in data visualization tools like Tableau or Power BI
• Excellent communication, collaboration, and stakeholder management skills
• Knowledge of Lean Six Sigma methodologies
• Knowledge of AI frameworks and tools is a must
• Ability to work in a fast-paced, dynamic environment and adapt to changing priorities

Professional Qualifications & Relevant Experience

• Bachelor's degree in Computer Science, Engineering, Statistics, Operations Research, Economics, Mathematics or a related quantitative field.
• 7-10 years of experience in analytics, data science, or AI

Skills Required