Job Description

Additional Skills/Preferences:

BTech/ MBA with 8+ years of work experience in data architectures and flows Experienced in setting up automated workflows for ETL Experienced in Azure and AWS Experienced in Python, R, PowerBI, DataBricks and Tableau Experienced in US pharma datasets Strong grasp of LLMs, with experience on all the current foundational models Excellent communication (written & verbal) and prioritization skills with attention to detail Strong learning agility High level of motivation and a strong desire to find creative solutions to challenging situations Keen focus on detail, accuracy, and ability to understand and solve business problems

Key accountabilities will include the following:

Collate information regarding the different datasets relevant for SFO; Conduct detailed analysis of current data flows and architecture Establishing industry best in class data architecture and flows to enable creation of standard data products to be leveraged across analysis and reports Coordinate with multiple teams like DataSpine, Tech to ensure all required datasets are available in the right format and at the right cadence Establish data quality controls to flag any discrepancy in the datasets to source teams (via automated flows) Work with both structured and unstructured data which would be fed into AI / Gen AI based tools and reports Generate and maintain SFO reports database. Draw insights by comparing data across different time stamps Setup, maintain and manage standard SFO LLMs / agents based on both structured and unstructured datasets Create process maps, SOPs and detailed documentation Lead and upskill a team of data enthusiasts to support all field facing roles Lead ideation initiatives to identify and solve cross team problems
Job Types: Full-time, Permanent

Pay: ?3,500,000.00 - ?3,900,000.00 per year

Benefits:

Health insurance Provident Fund
Work Location: In person