Assistant Manager Data & AI

At National Foods Limited, we are on a journey of growth and on building our most valuable assets which include our brands, financial strength, global presence, and our unbridled commitment to becoming a truly sustainable and a renowned company in the world.

Job Purpose

Build, deploy, and support Data, Analytics, AI, and Automation solutions across National Foods Limited, translating 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.

Job Responsibilities

• Solution Development & Delivery: Build, test, deploy, and maintain analytics, AI, and automation solutions in line with the Data & AI roadmap and the priorities set by the Manager Data & AI; gather requirements from business users, assess technical feasibility, and translate them into working solutions.
• Process Automation: Develop automated workflows using Microsoft Power Automate (Cloud and Desktop), Robotic Process Automation (RPA), and Python for processes identified with business teams, to reduce manual effort and improve operational efficiency.
• Business Intelligence & Reporting: Develop and maintain Power BI dashboards, reports, and self-service analytics, including semantic models, DAX measures, and Power Query transformations with defined business logic and KPIs, for Sales, Finance, SCM, Manufacturing, Marketing, HR, and other functions.
• AI & Power Platform Applications: Configure and build Copilot Studio agents, knowledge assistants, document processing, summarization, and Retrieval-Augmented Generation (RAG) use cases, along with Power Apps business applications, integrated with Microsoft 365 and enterprise systems; apply the established security, privacy, and evaluation checks before release.
• Data Integration & Pipeline Support: Extract, clean, transform, and integrate data from SAP S/4HANA, SAP BW, databases, APIs, Excel, SharePoint, and cloud platforms; support and monitor data pipelines and lakehouse or warehouse solutions in Microsoft Fabric, SQL, and Python to ensure data accuracy, consistency, and availability.
• Machine Learning Support: Develop, evaluate, deploy, and monitor machine learning solutions for forecasting, predictive analytics, classification, and optimization use cases, following the MLOps and model control practices set by the Manager Data & AI.
• Testing & Deployment: Conduct solution testing, coordinate User Acceptance Testing (UAT), resolve defects, and manage production deployments.
• Monitoring & Production Support: Monitor automated workflows, scheduled jobs, dashboards, data refreshes, and AI applications; troubleshoot failures and implement improvements to enhance stability, performance, and user experience.
• Data Security & Compliance: Apply established data access controls, role-based security, validation checks, naming conventions, metadata and lineage practices, and KPI definitions in line with organizational cybersecurity, privacy, and data governance policies; escalate exceptions to the Manager Data & AI.
• Solution Documentation: Prepare and maintain technical documentation, process flows, Standard Operating Procedures (SOPs), test cases, and knowledge transfer materials to support operational continuity.
• Stakeholder & Vendor Coordination: Work with internal teams, external technology partners, and solution providers on technical discussions, integrations, and issue resolution; refer licensing, commercial, and architectural matters to the Manager Data & AI.
• User Enablement & Adoption: Conduct user training, demonstrations, and knowledge-sharing sessions to drive adoption of analytics, automation, and AI solutions across business functions.
• Performance & Value Tracking: Track automation success rates, time savings, data accuracy, and adoption, and provide regular progress updates and operational insights to the Manager Data & AI.
  
  

Preferred Qualification, Skills And Experience

• 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
  
  

Location:

Karachi

National Foods Limited provides equal employment opportunity (EEO) to all persons regardless of age, color, origin, physical or mental disability, race, religion, creed, gender, marital status, status with regard to public assistance or any other characteristic protected by federal, state or local laws.