At Beiersdorf we want to help people feel good about their skin and our commitment goes far beyond caring for skin. For 140 years we have developed innovative skin and body care products for well-known brands such as NIVEA Eucerin La Prairie Hansaplast and Labello. We act according to our purpose WE CARE BEYOND SKIN and take responsibility for our consumers our employees the environment and society.

Behind every brand every product and every accomplishment are our more than 20000 employees. It is for them that we live an inclusive culture of respect and trust that is strongly aligned with our values CARE COURAGE SIMPLICITY and TRUST. We also embrace diversity by valuing the uniqueness of each individual and being committed to equal opportunities for all.

Your Tasks

The role will be responsible for :

- Lead end-to-end Manufacturing Data & AI initiatives across factories from business problem definition and data feasibility assessment through pilot execution deployment adoption and value realization.
- Build and strengthen AI-ready data foundations by improving data availability quality governance accessibility KPI standardization and integration across SAP MES Power BI and shopfloor systems.
- Translate manufacturing challenges into scalable analytics AI automation and reporting solutions that drive measurable improvements in productivity cost quality capacity utilization maintenance and operational performance.
- Partner closely with Manufacturing Continuous Improvement Engineering Quality Supply Chain Analytics and Digital/AI teams to identify opportunities define requirements validate use cases and ensure successful implementation.
- Develop and validate analytics and AI prototypes using manufacturing data operational insights and business expertise to demonstrate feasibility and business value.
- Manage a portfolio of Manufacturing Data & AI initiatives ensuring effective prioritization stakeholder alignment execution excellence adoption and benefit tracking.




- Establish standardized KPI frameworks dashboards benchmarking methodologies and self-service analytics capabilities to enhance performance visibility decision-making and governance.
- Embed data-driven decision-making analytics and AI solutions into factory management systems and Continuous Improvement practices to ensure sustainable outcomes.
- Serve as the key liaison between manufacturing and technical teams translating business needs into scalable digital data and AI solutions.
- Drive organizational adoption through communication training capability building and the development of a Manufacturing Data & AI community across the factory network.

Your Profile

- Masters degree in engineering Industrial Engineering Information Systems Data Analytics Computer Science or a related discipline.
- 5 years of experience in manufacturing supply chain operations analytics digital transformation or related fields.
- Strong understanding of manufacturing processes factory operations KPI governance Continuous Improvement and performance management.
- Proven experience translating business challenges into analytics reporting automation or AI-driven solutions.
- Hands-on experience with manufacturing data ecosystems such as SAP ERP SAP BW/BI Power BI MES Azure Data Platform and Microsoft technologies.
- Practical understanding of AI advanced analytics automation and digital manufacturing with a robust focus on business value and scalable implementation.
- Good to have: AI/Data Science/Machine Learning certification with hands-on capstone project experience using real-world business or operational data.
- Strong stakeholder management communication adoption and change management skills in a global and cross-functional environment.
- Strong analytical and problem-solving mindset with the ability to work hands-on with business and technical teams.
- Fluent in English and flexible to work in CET time zone

Your responsible recruiter isKalyani Deshmukh

Required Experience:

IC

📌 Business Analyst- Digital Industrial Engineering (Ahmedabad)
🏢 Beiersdorf
📍 Ahmedabad