Sr. Specialist DDIT OPS Data, Analytics, DS&AI

• Design and manage the development of modular, reusable, elegantly designed and maintainable software or solutions that supports the Supply Chain organization as well as other Cross Functional strategic initiatives.
• Participate fit-gap workshops with business providing effort estimates and solutions proposals.
• Develop and maintain the code repositories for which you are responsible and respond rapidly to bug reports or security vulnerability issues.
• Embody and integrate software development best practices.
• Collaborate extensively with your colleagues across Security, Compliance, Engineering, Project Management, Product Management.
• Drive data enablement and building digital products/deliver solutions as per business prioritizations and in alignment with technology architects.
• Contribute towards AI/ML initiatives including Gen AI, Journey towards cloud, data quality improvement, business process simplification and other strategic pillars.
• Ensure delivered solutions adhere to architectural and development standards, best practices, and meet requirements as recommended in the architecture handbook.
• Ensure designed solutions are aligned with Data and Analytics strategy standards and roadmap.
• Status reporting to product owners and IT management.

Essential Requirements:

• 8+ years of data & analytics experience in a professional environment, building applications across platforms.
• 3+ years of experience in delivery management
• 3+ years of experience in customer facing IT roles
• 2+ years of experience in Machine Learning
• 2+ years of experience in SAP BW on HANA and/or S/4 HANA
• 2+ years of experience in cloud platforms
• Strong data engineering fundamentals in data management, data analysis, back-end system design.
• Strong hands-on exposure in Data & Analytics (including predictive and prescriptive analytics) solutions.

Skills:

• Collecting and interpreting requirements as well as building supporting solutions to satisfy business requirements.
• Excellent understanding of Supply Chain business process and KPIs. Grasp on topics such as inventory management, demand forecasting, real-time logistics management, end-to-end supply chain visibility, supply chain optimization, supply chain digital twin would be highly desirable.
• Domain expertise in Pharma industry and/or Healthcare is a big plus.
• Excellent communication, convincing, analytical and problem-solving skills.
• Excellent knowledge in Machine Learning, GenAI, Data Lake, Data warehouse, Analytical and Visualization tools (preferably Power BI and Qlik Sense).
• Hands-on experience in machine learning along with real-time analytics would be preferrable.
• Familiar with Agile, Disciplined Agile as well as Waterfall delivery concepts.
• Proficient in using: Jira, Confluence, GitHub, Bitbucket, SAP Solution Manager.
• Familiar with: ERWIN, Data modelling.
• Hands-on experience in: AWS Services, Python, Databricks, Snowflake, Power BI, Angular, SAP Analytics (BW on HANA, BW/4HANA, S/4 HANA).
• Strong hands-on exposure in Data and Analytics solutions is must.
• Ability to learn new technologies and functional topics in a very short period.