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Associate Director - Data Science

Hyderabad (Office)

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What you’ll work on

Full posting
  • Lead the design, development, deployment, and monitoring of Generative Artificial Intelligence and agentic solutions.

  • Translate complex biomedical and business challenges into scalable data science and artificial intelligence strategies.

  • Drive innovation by applying advanced analytics, machine learning, and enterprise data management practices.

From the employer’s posting
Key Responsibilities Lead the design, development, deployment, and monitoring of Generative Artificial Intelligence and agentic solutions. Translate complex biomedical and business challenges into scalable data science and artificial intelligence strategies.
Lead the design, development, deployment, and monitoring of Generative Artificial Intelligence and agentic solutions. Translate complex biomedical and business challenges into scalable data science and artificial intelligence strategies. Drive innovation by applying advanced analytics, machine learning, and enterprise data management practices.
Translate complex biomedical and business challenges into scalable data science and artificial intelligence strategies. Drive innovation by applying advanced analytics, machine learning, and enterprise data management practices. Partner with scientific, technical, and business stakeholders to deliver measurable impact and strategic outcomes.

What you’ll bring

All qualifications

Core experience

  • 8+ Years expertise in designing, deploying, evaluating, and scaling Generative Artificial Intelligence and agentic systems.
  • Experience building production-grade solutions with testing, continuous integration, deployment, observability, and security practices.
  • Demonstrated ability to apply machine learning, advanced analytics, and data science to complex business challenges.
  • Excellent communication and leadership capabilities, influencing decisions across technical and non-technical audiences.
Qualification wording
8+ Years expertise in designing, deploying, evaluating, and scaling Generative Artificial Intelligence and agentic systems.
Experience building production-grade solutions with testing, continuous integration, deployment, observability, and security practices.
Demonstrated ability to apply machine learning, advanced analytics, and data science to complex business challenges.
Excellent communication and leadership capabilities, influencing decisions across technical and non-technical audiences.

Tools in this posting

  • Python
Source — Tool mentions in context
- 8+ Years expertise in designing, deploying, evaluating, and scaling Generative Artificial Intelligence and agentic systems. - Strong programming and software engineering experience using Python, application programming interfaces, and cloud platforms. - Experience building production-grade solutions with testing, continuous integration, deployment, observability, and security practices.
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, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis

Job description

View original posting ↗

Job Description Summary

Job Title: Associate Director - Data Science

#LI-Hybrid

Location: Hyderabad, India

Relocation Support: Yes

Join Novartis at the forefront of scientific innovation, where advanced Artificial Intelligence and Data Science are transforming how we discover insights and address unmet medical needs. As an Associate Director - Data Science, you will lead the design and delivery of next-Generation Generative Artificial Intelligence and agentic solutions, partnering with global stakeholders to solve complex biomedical challenges at scale. This is an opportunity to combine scientific curiosity, technical excellence, and strategic leadership to create measurable impact for patients, researchers, and the future of healthcare while shaping the evolution of enterprise AI capabilities across Novartis.


 

Job Description

Key Responsibilities

  • Lead the design, development, deployment, and monitoring of Generative Artificial Intelligence and agentic solutions.
  • Translate complex biomedical and business challenges into scalable data science and artificial intelligence strategies.
  • Drive innovation by applying advanced analytics, machine learning, and enterprise data management practices.
  • Partner with scientific, technical, and business stakeholders to deliver measurable impact and strategic outcomes.
  • Establish robust data lifecycle practices to ensure trusted, accessible, and high-quality enterprise data.
  • Guide cross-functional teams in solving critical business problems through data-driven decision making.
  • Evaluate and adopt emerging technologies, tools, and methodologies to advance analytical capabilities.
  • Communicate insights and recommendations effectively to senior leaders and non-technical audiences.
  • Build organizational capabilities through mentoring, coaching, knowledge sharing, and best-practice development.
  • Contribute to external scientific communities through research, publications, and industry collaborations.

Essential Requirements

  • 8+ Years expertise in designing, deploying, evaluating, and scaling Generative Artificial Intelligence and agentic systems.
  • Strong programming and software engineering experience using Python, application programming interfaces, and cloud platforms.
  • Experience building production-grade solutions with testing, continuous integration, deployment, observability, and security practices.
  • Demonstrated ability to apply machine learning, advanced analytics, and data science to complex business challenges.
  • Strong stakeholder management skills with the ability to translate scientific needs into practical solutions.
  • Excellent communication and leadership capabilities, influencing decisions across technical and non-technical audiences.

Commitment to Diversity and Inclusion:

Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

 

Accessibility and accommodation

Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message


 

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, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Source & posting history

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Location & working pattern

Hyderabad (Office)

Job Title: Associate Director - Data Science #LI-Hybrid Location: Hyderabad, India
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Status in our records
Active
First seen by us
Sep 12, 2026
Recorded sightings
15
Last seen by us
Oct 8, 2026

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