Senior Manager-Data Science

Hi,

We are having an opening for Manager / Senior Manager 2 Data Science at our Mumbai location

Job Summary

The role would work as an integral part of the Data & Analytics team at SUN Pharma. It involves leading and managing business critical data science projects and AI/ ML Initiatives. The role requires an understanding of business processes related to Pharma industry and data science and analytics, and the ability to communicate effectively to both technical and functional stakeholders.

Position offers a significant opportunity for an all-round business understanding and impact working with the in-house teams as well as business and corporate functions as well as technology consultants and partners

Areas of Responsibility

For designated complex and business critical digital and technology based data & AI related projects,

• Building and expanding the Data Analytics CoE and Data Architecture for Global Use cases
• Clear understanding of the expected business outcome, business value and specific outputs / deliverables
• Managing stakeholders and expectations from use of data science and analytics
• Working in tandem with Data guardians from different functions, in-line with their requirements and vision
• Monitoring any proof of concept for new requirement, coordinating with involved stakeholders and partners, ensuring timely completeness for the objectives pre-decided
• Planning benefits realization for Data Science projects and execution strategy
• Reusability of data streams, wherever applicable, to eliminate duplication in data foot print
• Managing a team of data engineers, cloud architects, MLOps engineers and Database engineers
• Structuring delivery team organization, managing the engagement with relevant partner ecosystem
• Managing CI-CD pipelines and building ML products for internal teams
• Managing budgets, managing scope, time and quality, measuring and managing change
• Targeted communication, orchestration and governance
• System/solution usage and adoption, benefit realization and measurement

Educational Qualification

Skills

• Knowledge of Data Science, ML, Statistical Techniques, Data Modelling, Data Transformation, Use of Cloud Hyperscaler environment.
• Use of cloud based tools for automating ML pipelines and deploying cloud based models for end users
• Ability to understand and interpret complex datasets and formulate means for merging disparate data sources
• Strong fundamentals in cloud services and data lake architecture.
• Work involves handling sensitive data and confidential information requiring discretion on the role holder's part.
• Ability to work under deadlines and comfortable with certain level of ambiguity
• Ability to multi task, successfully adapt to changes in work priorities.
• Should be comfortable to operate at a strategic level, and also have an eye for detail.
• Should be a self motivated

Experience

7-12 years (preferably, IT Services / Pharma Industry Experience, from organizations of repute)

Experience in handling data/ data models for different functions