At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

LCCI Business Insights & Analytics – Associate Director, ML Ops

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 39,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease. We are looking for people who are determined to make life better for people around the world.

The LCCI (Lilly Capability Centre India), BI&A (Business Insights & Analytics) team was started in 2017 with the objective of supporting business decisions for the commercial and marketing functions in the US and ex-US affiliates. This team is part of the LCCI - Commercial Services organization and works very closely with business analytics team based in Indianapolis (HQ). The team currently comprises of ~300 team members, with varied backgrounds and skills across data democratization, data engineering, analytics and data sciences, market research. The team works across customer segments which include HCPs, Payer and HCOs, Consumer and Med Affairs.

Currently, we are hiring for an Associate Director who can manage Machine Learning Engineers in the team. This team works on commercial analytics requirements of Lilly’s US portfolio. The scope of work starts from launch support and continues across the life cycle of our products. There is a strong focus on predictive analytics and for the same, we are expanding the data science team. The incumbent will

- take ownership of people and work processes for the ML Ops team

- define structure and expand current delivery by building a strong process-focused culture

- work closely with the onshore advisors to plan and build these capabilities to meet strategic needs

- build and leverage relationships with stakeholders across BI&A, other Commercial Services, and other technical teams

Key Responsibilities:

People and Project Leadership

• Manage the ML Ops team, help ML Ops engineers 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 ML Engineering 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 Lilly’s organizational objectives.

Required Skills and Expertise:

• 12+ years of relevant experience in an ML Ops or Dev Ops space
• 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

• Bachelor’s/ Master’s degree in Computer Applications/ Mathematics/ Pharma or a related field from a premium college

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

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