Assistant Manager Data & AI

About the role

National Foods Limited is looking for an Assistant Manager Data & AI to build, deploy and support data, analytics, AI and automation solutions across the company. The role translates business requirements into practical, scalable and reliable technology solutions through hands-on development, integration, testing and deployment, in line with the priorities and standards set by the Manager Data & AI.

Key responsibilities

• Build, test, deploy and maintain analytics, AI and automation solutions, gathering requirements from business users and assessing technical feasibility.
• Develop automated workflows using Microsoft Power Automate (cloud and desktop), RPA and Python to reduce manual effort.
• Build and maintain Power BI dashboards, reports and self-service analytics, including semantic models, DAX measures and Power Query, for Sales, Finance, SCM, Manufacturing, Marketing, HR and other functions.
• Configure Copilot Studio agents, knowledge assistants, document processing, summarization and RAG use cases, and Power Apps applications integrated with Microsoft 365 and enterprise systems.
• Extract, clean, transform and integrate data from SAP S/4HANA, SAP BW, databases, APIs, Excel, SharePoint and cloud platforms; support data pipelines and lakehouse or warehouse solutions in Microsoft Fabric, SQL and Python.
• Develop, evaluate, deploy and monitor machine learning solutions for forecasting, predictive analytics, classification and optimization, following MLOps and model control practices.
• Test solutions, coordinate UAT, resolve defects and manage production deployments; monitor workflows, jobs, dashboards and AI apps and fix failures.
• Apply data access controls, role-based security and naming conventions in line with cybersecurity, privacy and data governance policies.
• Maintain technical documentation, SOPs, test cases and knowledge transfer materials, and train users to drive adoption.
• Track automation success rates, time savings, data accuracy and adoption, and coordinate with internal teams, vendors and partners.

Required profile

• Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Technology, Artificial Intelligence or a related discipline.
• 1-3 years of relevant experience in data analytics, business intelligence, process automation and AI-related roles.

Required skills

• Microsoft Power Automate, Power BI, Power Apps and Copilot Studio
• RPA and Python
• SAP S/4HANA, SAP BW, Microsoft Fabric, SQL
• DAX, Power Query