Associate Director - Data Science
Hyderabad (Office)
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingLead 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 qualificationsCore 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
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 AnalysisYour 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.
Complete your application on novartis.wd3.myworkdayjobs.com. The employer’s form will show what is required.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hyderabad (Office)
Job Title: Associate Director - Data Science #LI-Hybrid Location: Hyderabad, India
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 12, 2026
- Recorded sightings
- 15
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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