Lead - Automation & AI Enablement
2025-12-15T20:50:10+00:00
Bridge Talent Management
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https://bridgetalentgroup.com/
FULL_TIME
Nairobi Area
Nairobi
00100
Kenya
Consulting
Computer & IT, Science & Engineering
2025-12-28T17:00:00+00:00
8
Lead - Automation & AI Enablement
Job Description
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:
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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
Soft Skills
- Strong analytical thinking and problem-solving
- Ability to translate business needs into technical solutions
- Curious, proactive, self-driven — “builder mindset”
- Excellent communication and stakeholder engagement
- Ability to work cross-functionally and handle multiple projects
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. 2. 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. 3. 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. 4. 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. 5. 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. 6. 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. 7. 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.
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 Soft Skills Strong analytical thinking and problem-solving Ability to translate business needs into technical solutions Curious, proactive, self-driven — “builder mindset” Excellent communication and stakeholder engagement Ability to work cross-functionally and handle multiple projects
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.
JOB-694074825c87f
Vacancy title:
Lead - Automation & AI Enablement
[Type: FULL_TIME, Industry: Consulting, Category: Computer & IT, Science & Engineering]
Jobs at:
Bridge Talent Management
Deadline of this Job:
Sunday, December 28 2025
Duty Station:
Nairobi Area | Nairobi | Kenya
Summary
Date Posted: Monday, December 15 2025, Base Salary: Not Disclosed
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JOB DETAILS:
Lead - Automation & AI Enablement
Job Description
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:
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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
Soft Skills
- Strong analytical thinking and problem-solving
- Ability to translate business needs into technical solutions
- Curious, proactive, self-driven — “builder mindset”
- Excellent communication and stakeholder engagement
- Ability to work cross-functionally and handle multiple projects
Work Hours: 8
Experience in Months: 24
Level of Education: bachelor degree
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