Digitalization Specialist

Job Description

Strategic Leadership:


Project Management: Drive and manage digital transformation projects.
Strategy Development: Develop and implement strategies to leverage Industry 4.0 opportunities.
Portfolio Leadership: Lead a digital project portfolio across the value chain.


Technology Integration:


Tool Evaluation: Evaluate and select reliable, secure, and scalable tools and technologies.
AI/ML Integration: Integrate AI/ML solutions for data analysis, pattern recognition, and anomaly detection.
IIoT Management: Manage IIoT implementations, facilitate innovation, and collaborate with vendors. Process Analysis & Improvement:
Opportunity Identification: Analyze business processes to identify digital transformation opportunities.
Sustainable Projects: Implement IIoT-based sustainable projects aligned with business goals.
Digital Solutions: Evaluate processes with a data science perspective and provide digital solutions.


Stakeholder Engagement:


Coordination: Coordinate with internal stakeholders and technology partners.
Training Programs: Develop and deliver training programs.
Support: Lead user acceptance testing and support. Continuous Learning:
Industry Knowledge: Stay updated on the latest process and IT advancements.
Tool Implementation: Identify and implement new tools to enhance and modernize systems.


Qualifications

Educational Background:


BE/BTech, ME/MTech (Computer Science/Information Technology), MCA, IT, ECE, EI, or related IoT/AI/ML specialization.
Proficiency in Python and Java, cloud-based platforms, and data visualization tools is highly desirable.


Technical Skills:


Familiarity with RTOS and IIoT hardware, including sensors, controllers, and gateways.
Strong understanding of data science principles, AI/ML frameworks, and data management.



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