Lead – Automation & AI Enablement
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Experience Required:
Posted on:
18 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Tile: Lead Automation & AI Enablement
Location: Kiambu County
Reporting to: Chief Transformation Officer / Chief Digital Officer
Function: Digital Transformation / Automation / Data & AI
Role Summary
The Lead Automation & AI Enablement is 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
Ideal Candidate Profile
Qualifications
Bachelors degree in IT Computer Science Data Science Engineering or related field.
Certifications in RPA Data Engineering AI/ML or Python are an advantage.
Experience (25 years)
Hands-on development experience in:
o RPA: Automation Anywhere or Power Automate
o AI/ML: Python (Pandas Scikit-learn TensorFlow or PyTorch)
o 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
What Success Looks Like
1020 automation or AI use cases delivered within the first year.
Measurable reduction of manual tasks processing time or error rates.
Power BI and/or SAP BI dashboards adopted across functions for real-time insights.
Predictive analytics applied to at least 23 business areas (maintenance demand finance).
Strong stakeholder satisfaction and alignment with business priorities.
Clear governance and documentation for all automation and AI assets.
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
