Senior Big Data Engineer - Data Science & AI

Senior Specialist Data Science & AI - Big Data Engineer

Job Description Summary

We are seeking a Senior Specialist for project delivery and/or governance for

handling big data. The role involves enabling data and supporting data

modelling in the given business sub-capability. The ideal candidate will partner

with Business Stakeholders and IT Strategic Business Partners for demand

analysis, solution proposal/evaluation, project delivery, and data governance.

Job Description

Major accountabilities:

• Enable big data availability for data analytics and AI use cases.
• Ensure adoption of enterprise data management and enable data streams.
• Ensure alignment to Security and Compliance policies and procedures.
• Deliver on agreed important metrics including business impact.
• Launch innovative technology solutions across Novartis at scale.
• Generate business impact and value from IT solutions.
• Adopt and develop Agile, Productization, and DevOps practices.
• Ensure operations stability and effective risk management.

Key performance indicators:

• Achievement and governance endorsement of data management, advanced analytics program tollgates.
• Successful implementation based on KPI’s and data management, advanced analytics program objectives.

Minimum requirement: Work experience:

• University degree in Informatics, Computer Sciences, Business, or a similar field, or

relevant experience.

• 5+ years of relevant experience in Big Data Engineering.
• Experience in Enterprise Data Management implementation, demonstrating the ability to

manage and optimize data streams.

• Industry/business exposure to Master Data Management implementation, showcasing the

ability to handle large-scale data management projects.

• Proven ability to develop trust-based relationships with team members and stakeholders,

ensuring effective collaboration and communication.

• Stakeholder management experience, including the ability to engage and manage

expectations of various stakeholders.

• Proficiency in big data engineering tools and technologies.
• Strong understanding of enterprise data management practices.
• Experience with Agile, Productization, and DevOps practices.

Proficiency in English, both written and spoken, to effectively communicate with global

teams and stakeholders.

Skills

• Big data development
• Data governance
• Data literacy
• Data quality
• Business partnering
• Understanding of Agile framework
• Change Management
• Stakeholder Engagement
• Learning Agility
• Curiosity

Language:

• English

Skills Desired

Artificial Intelligence (AI), Biostatistics, Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical Analysis, Time Series AnalysisExperience Level

Senior Level