Key Responsibilities:
People and Project Leadership
Manage the Data Science team, help data scientists take ownership and deliver best outcomes, focusing on quality and productivity
Will be responsible for supervising, managing, and motivating team members on a day-to-day basis
Create a framework for communication, project management and execution across team to help drive best practises
Implements policies and procedures that will improve operations
Collaborate closely with stakeholders to understand key result areas, ensure expansion and penetration of data science use-cases
Develop a pipeline of data science talent and leadership, and contribute to an inclusive community of data analytics practitioners/ thought leaders
Be able to act proactively to ensure smooth team operations and effective collaboration
Strategic growth and thought leadership
Strategize on key opportunities/ whitespaces, drive discussions and expand outcomes from LCCI for data science solutions
Focus on the future business needs and expand capabilities of the group
Provide thought leadership on advanced analytics techniques to answer business questions at the intersection of the pharmaceutical and marketing spaces to provide value to commercial teams
Integrate working model for analytics capabilities across BI&A teams, and where possible, across other LCCI teams to drive better cross-team resourcing, cross-pollination of best practices.
Conducting quarterly/ annual performance reviews of the team and motivate team to achieve excellent results
Required Skills and Expertise:
8+ years of relevant experience in a data science and/ OR people management roles supporting Pharma/Lifesciences Commercial ops internally or in consulting
At-least 2+ years experience in leading highly competent and analytics-oriented teams
Persuasive communication and inter-personal skills
High level of motivation and a strong desire to find creative solutions to challenging situations
Demonstrated ability to enforce business rules and policies in a constructive but disciplined manner
Substantial analytics experience and understanding of complexities in specialty markets, analytics techniques, and US pharmaceutical business
Proven ability to manage resources to achieve project and business results
Demonstrated strength/understanding in statistics (preferred)
Education
Bachelor's/ Master's degree in Computer Applications/ Mathematics/ Pharma or a related field from a premium college
