Director - Data Engineering

Candidate should have 14+ years of prior experience in delivering customer focused Cloud Data Management solution(s): Enterprise Data Warehouse, Enterprise Data Lake, Master Data Management System, Business Intelligence & Reporting solutions, IT Architecture Consulting, Cloud Platforms ( AWS/AZURE), SaaS/PaaS based solutions in the Life Science industry. Minimum of 5 years of relevant experience in Pharma domain. (Must) Should have successfully program managed/solutioned 2-3 end to end DW Cloud implementations on AWS/Redshift/Cloud in Pharma or Life Sciences Business domains (Must) Candidate must have prior hands-on working experience on big data and ETL technologies. Tech stack exposure (hands on/project mgmt. on few of these): from amongst AWS, ETL, Data modelling, Python, Qlik/Tableau/MicroStrategy, Dataiku, Databricks, Airflow, Graph DB, Full stack. Good to have working knowledge of tools: At least 2 of the following - QlikView, Qlik Sense, Tableau, MicroStrategy, Spotfire, MS PBI.

Must have a very good understanding of end-to-end pharma commercial landscape covering both enterprise and syndicated data sets. Decent exposure to Business processes like alignment, market definition, segmentation, sales crediting, activity metrics calculation and Exposure on advanced analytics such as next best action implementation. Ability to handle large teams of IT professionals . Ability to lead large RFP responses. Ability to handle P&L . Ability to handle different stakeholders - customers, vendors, internal teams . Strong project/program management capabilities .Strong written and verbal communication skillsRole & responsibilities.