Jobs

Lead – Automation & AI Enablement at Bridge Talent Management

  • Job Type Full Time
  • Qualification BA/BSc/HND
  • Experience 2 – 5 years
  • Location Nairobi
  • Job Field Data, Business Analysis and AI  , ICT / Computer 

Lead – Automation & AI Enablement at Bridge Talent Management

Lead – Automation & AI Enablement

About the role:

Our client is one of East Africa’s leading FMCG companies, operating in edible oils & fats, food, beverages, home care, personal care, and animal feeds. The company is modernizing its digital backbone, strengthening SAP S/4HANA, and integrating automation and AI into operations, production, supply chain, and corporate functions. The Lead – Automation & AI Enablement will play a key role in accelerating this digital evolution.

Additionally, they will be responsible for designing, developing, and deploying automation, RPA, analytics, and AI/ML use cases across our client’s operations from factory floors to support offices.

This is a hands-on technical role suited for a young, high-potential specialist with strong AI/ML and automation skills, capable of building prototypes, deploying real value-driven solutions, and supporting the digital transformation roadmap.

The ideal candidate brings a mix of software automation talent (Python, Power Automate, Automation anywhere), analytics dashboards (Power BI), and experience working around SAP environments (ECC or S/4HANA preferred).

Key Responsibilities:

Automation & AI Roadmap Execution

  • Support the creation and rollout of our client’s automation and AI enablement roadmap.
  • Identify automation opportunities in production, supply chain, finance, HR, sales, and procurement.
  • Prioritize high-impact use cases in collaboration with business stakeholders.

RPA & Workflow Automation

  • Develop RPA bots using Automation Anywhere or Power Automate.
  • Automate repetitive workflows across offices (finance, HR, procurement, logistics).
  • Maintain automation scripts, troubleshoot failures, and optimize performance.

 AI/ML & Predictive Insights

  • Build machine learning models for forecasting (demand, raw material usage, supply chain).
  • Support predictive maintenance and anomaly detection for production machines.
  • Develop computer-vision models for quality control (optional but desirable).
  • Validate model accuracy and deploy into live environments.

 Systems Integration & SAP Ecosystem

  • Integrate automation with SAP S/4HANA, SCADA, WMS, MIS, and ERP environments.
  • Support creation of APIs, connectors, and data pipelines.
  • Build process automation directly around SAP transactions where relevant.

Analytics & BI Enablement

  • Build dashboards in Power BI or SAP BI (Bobj) for operational insights and KPI tracking.
  • Automate data extraction, cleaning, and reporting pipelines.
  • Enable business teams to make decisions using accurate, timely data.

Process Excellence & Governance

  • Document automated workflows, models, and processes.
  • Enforce automation governance standards, access control, and security.
  • Track ROI, adoption, and tangible value created by each automation project.

Cross-Functional Collaboration

  • Work with operations, production managers, finance teams, HR, supply chain, and commercial teams to identify automation and AI opportunities.
  • Support change management and onboarding of end-users.

Requirements

Qualifications:

  • Bachelor’s degree in IT, Computer Science, Data Science, Engineering, or related field.
  • 2 – 5 years of relevant experience
  • Certifications in RPA, Data Engineering, AI/ML, or Python are an advantage.
  • Hands-on development experience in:
    • RPA: Automation Anywhere  or Power Automate
    • AI/ML: Python (Pandas, Scikit-learn, TensorFlow or PyTorch)
    • Data engineering and analytics (SQL, Power BI)
  • Experience in workflow automation, building bots, and deploying ML models.
  • Exposure to SAP ECC or S/4HANA, or other ERP integration.
  • Experience in manufacturing, FMCG, or supply chain environments is a plus.

Technical Skills

  • Python: data wrangling, scripting, ML model development
  • RPA: Automation Anywhere or Power Automate
  • BI: Power BI, SQL, SAP BI
  • Cloud: Azure or AWS fundamentals
  • API/Integration experience
  • Git, version control, automation testing
  • Understanding of SCADA/WMS/ERP systems is an advantage

Method of Application

Interested and qualified? Go to Bridge Talent Management on bridgetalentgroup.zohorecruit.com to apply

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