Business Manager - Data Ops

PGD is a center of expertise catering to international markets on a full spectrum of digital, data and tech services. Also, an interconnected network, with a diversity of talent- a never sleeps machine of creation that continuously grows and mutates, to become a more efficient and a collaborative system, that delivers outstanding work. The PGD team in India boasts of over 1000+ specialists across Mumbai, Gurgaon, Pune and Bengaluru certified across all major platforms - Amazon, Facebook Blueprint, Google Adwords, Google Shopping, SA 360, Data Studio and more. With solid expertise in Search, Programmatic, Data engineering, Data sciences, Ecommerce, Consulting and Development, the team supports a host of Publicis operations across US, Europe and Asia and their multinational clients. 

• Leads a team of data scientist at various levels of seniority. 
• Coaches team members and manages team development.  
• Engages in knowledge transfer to team members. 
• Partners with other data science teams across US and Poland 
• Partner with project managers, directors, and other internal project leaders. 
• Execute and monitor project plans for timely project completion, supporting all stages of the analytic pipeline. 
• Actively supports innovation, and the integration of new methods and technologies. 
• Supports and/or tests new methodologies, software and data sources for continual improvement of quantitative solutions.  
• Supports and/or implements techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs. 
• Utilizes statistical, mathematical, and machine learning theory and methodologies to design analytic architecture and solutions.  
• Supports and/or participates in the creation of lucid documentation and reports (technical and non-technical) for internal and external clients.  
• Presents analysis ideas, progress reports and results to internal managers, project owners, and executives. 

• Graduate-level degree with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline.   
• Strong relevant professional experience 
• Team-oriented with a track record of building strong internal and external unit partnerships. 
• Experience leading cross-functional projects using advanced data analysis techniques. 
• Proficient across the stages of the data analytic pipeline, from ETL to results communication, supporting knowledge transfer for team growth. 
• Skilled with feature engineering and selection methodologies.  
• Knowledge in and applied experience with statistical and machine learning. 
• Experience using statistical and machine learning computer languages (e.g. R, Python, SLQ). 
• Experience managing large and complex datasets. 
• Strong verbal, written, and presentation communication skills (technical and non-technical).

Desired:

• Experience in insurance or related business  
• Experience with R/Python and SQL 
• Experience with cloud computing environments (e.g. AWS)