Senior Director Data Science

Eli Lilly And Company

16 - 21 years

30 - 35 Lacs

bengaluru

Posted:5 hours ago| Platform:

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Skills Required

advanced analytics python microsoft azure cloud platforms machine learning artificial intelligence javascript docker agile development methodology operations java data science computer science devops linux jenkins html agile aws ml statistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

Take accountability for the performance and results of the Bangalore BI&A data science and ML engineering/operations teams.
Evaluate and resolve complex business, operational, and technical challenges related to data science and ML engineering/operations.
Identify opportunities for for data science and ML engineering/operations leaders (both administrative as well as technical leaders).
Conduct performance reviews, manage talent development, and build a pipeline of future leaders.
Ensure effective resource allocation and capacity planning to meet operational and strategic goals.
Partner across BI&A Bangalore functions to balance headcount requirements across all BI&A strategic priorities.
Enable technical progression for senior individual contributors through resourcing decisions and project scope design.

Strategic Planning

Actively contribute to the global Data Science and ML Engineering/Operations priorities and roadmap, balancing technical excellence with business needs.
Influence adoption of data science and ML engineering/operations solutions.
Advocate for the assignment of data science and machine learning exploration and innovation initiatives to Bangalore team members.
Mediate resource constraints across Data Science and ML Engineering/Operations teams, driving holistic resource decisions that enable the highest value work to be done.
Deliver on productivity agenda across the team, driving top-down adoption of new tools and capabilities.

Minimum Qualifications

Advanced degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering).
16+ years of relevant experience in data science, machine learning, and AI, including enterprise-scale solution deployment.
Proven experience leading teams and subordinate managers in a complex, cross-functional environment.
Demonstrated ability to influence across business areas and drive adoption of advanced analytics and ML solutions.
Strong understanding of cloud platforms (e.g., AWS), DevOps, analytics platforms, and Agile development methodologies.
Experience with Responsible AI frameworks and ethical AI standards.

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