01Key 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
Work under the guidance of DS director, implement 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
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
Go beyond to support BI&A leadership to implement out of box solutions which support Lillys
organizational objectives.
Required Skills and Expertise:
12+ years of relevant experience in a data science and people management roles supporting
Pharma/Lifesciences Commercial ops internally or in consulting.
At-least 6+ 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
Education
Bachelors/ Masters degree in Computer Applications/ Mathematics/ .
