Data Engineering Manager - Data Services

Location: Hyderabad (Hybrid) #LI

About the Role

We are seeking an expert Data Engineering Manager to join our team in Hyderabad. In this hybrid role, you will collaborate with business partners, data scientists, and IT teams to develop and implement top-tier data products and solutions. You will also act as a hands-on engineer managing data curation, quality, and standards.

Key Responsibilities

The ideal candidate will:

• Possess deep domain expertise in Commercial Operations, Sales & Marketing, and experience in the Pharma/Life Science industry.
• Collaborate with stakeholders to create and implement world-class data products and solutions.
• Act as a hands-on engineer in curating data, onboarding data assets into the FAIRification process, and managing data quality and standards.
• Understand enterprise-approved schema, tools, and platforms to deliver high-quality, clean, and linked data across projects.
• Manage the quality and consistency of NBS CONEXTS data services for all partners.
• Ensure compliance with GMP and regulatory requirements, continuously improving quality-relevant processes within the area of responsibility.
• Deliver on data strategy priorities and DLC activities in an AGILE manner with proper documentation and communication.

Essential Requirements

To be considered for this role, you must have:

• A Master's/PhD in Computer Sciences, IT, or other quantitative sciences.
• 7+ years of experience in a global company as a data steward, engineer, modeler, or data scientist.
• Business understanding of the pharmaceutical industry and data standards.
• Domain expertise in at least one of the following: Pharma R&D, Manufacturing, Procurement, and Supply Chain, or Marketing and Sales.
• Understanding of various data modeling methodologies including conceptual, logical, and physical modeling.
• Experience with data wrangling, ingestion, unification, anonymization, search, Master & Meta Data Management, and governance.

Desirable Requirements

Additional skills that are beneficial include:

• Hands-on experience with ETL processes and programming/scripting skills (Python).
• Experience in Master Data Management and data quality controls.
• Strong communication and presentation skills.
• Experience in Scrum methodology.
• Knowledge of the big data ecosystem, AWS, AZURE stack, and NLP basics.

Why Novartis?

Our purpose is to reimagine medicine to improve and extend people’s lives, striving to become the most valued and trusted medicines company in the world. Join our mission.

You'll Receive

Discover more about our benefits and rewards in the

Commitment to Diversity and Inclusion

Novartis is committed to fostering an outstanding, inclusive work environment with diverse teams representing the communities we serve.

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Skills Desired

Agility, Analytical Thinking, Brand Awareness, Cross-Functional Collaboration, Digital Marketing, Marketing Strategy, Media Campaigns, Project Management, Sales, Stakeholder Engagement, Stakeholder Management, and Strategic Marketing.

Company Name: Novartis

Job Title: Data Engineering Manager - Data Services