Senior manager-data science

1 week ago

Mumbai, India SUN PHARMA Full time

Hi,We are having an opening for Manager / Senior Manager 2 Data Science at our Mumbai locationJob 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 partnersAreas of Responsibility :For designated complex and business critical digital and technology based data & AI related projects,- Building and expanding the Data Analytics Co E 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 measurementEducational Qualification : B. Tech / MBASkills :- 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 motivatedExperience :7-12 years (preferably, IT Services / Pharma Industry Experience, from organizations of repute)Experience in handling data/ data models for different functions

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