Lead Automation & AI Enablement

Thika - Kenya

Monthly Salary: Not Disclosed

Experience Required: 4-5years

Posted on: 12 hours ago

Vacancies: 1 Vacancy

Job Summary

About the role:

Our client is one of East Africas 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 clients 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 clients 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:

Bachelors 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

HOW TO APPLY

Qualified candidates are encourage to share their CV via:

Email Subject Line: Lead Automation & AI Enablement

Applications will be reviewed on a rolling basis

Required Skills:

2-5 years of relevant experience 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

Required Education:

Bachelors degree in IT Computer Science Data Science Engineering or related in RPA Data Engineering AI/ML or Python are an advantage.

About the role:Our client is one of East Africas 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 supp...

About the role:

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

Key Responsibilities:

1. Automation & AI Roadmap Execution

Support the creation and rollout of our clients 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:

Bachelors 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

HOW TO APPLY

Qualified candidates are encourage to share their CV via:

Email Subject Line: Lead Automation & AI Enablement

Applications will be reviewed on a rolling basis

Required Skills:

Required Education:

Bachelors degree in IT Computer Science Data Science Engineering or related in RPA Data Engineering AI/ML or Python are an advantage.

Company Industry

IT Services and IT Consulting

Key Skills

Continuous Integration
APIs
Automotive software
Test Cases
Electrical Engineering
Junit
Distributed Control Systems
Testng
Java
Test Automation
Programmable Logic Controllers
Selenium

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Lead Automation & AI Enablement

Thika - Kenya

Job Summary

Requirements

Requirements

Company Industry

Key Skills

About Company

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