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