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Sr. Consultant- Data Architecture

JOB_REQUIREMENTS

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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

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