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BI&A - Director - Data science

4 months ago

bangalore, India Lilly Full time

We’re looking for people who are determined to make life better for people around the world.


Lilly Business insights and analytics -

Data science Director

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 150+ team members, with varied backgrounds and skills across data management, analytics and data sciences, business, and commercial operations etc.

Lilly wants to hire a leader for the Data sciences organization (part of our business insights and analytics organization) to accelerate Reach and scale. We are looking for a leader with advanced degrees in statistics, mathematics, econometrics, operations research and computer science to deal with the complex problems of a global business and a dynamic data and analytics environment. The BI&A data science organization aims to create valuable and measurable outcomes for Lilly’s commercial global business by creating a comprehensive view of the customer and creating scalable AI applications for capability development.

The incumbent will

Shape, resource and deliver work for the data sciences organization within BI&A. Take ownership of people and work processes for both the Data sciences and ML Ops team Build a strong innovation and process-focused culture. Work closely with LCC to plan and build these capabilities to meet strategic needs. Build and leverage relationships with stakeholders across BI&A, other Commercial Services, and Lilly IT (IDS) teams.

This role will report into the Head of commercial services, LCCI.

Key Responsibilities:

Program / Project delivery

Scale and manage the Data Sciences team, help data scientists take ownership and deliver best outcomes, focusing on quality and productivity. Responsible for supervising, managing, and motivating team members on a day-to-day basis. Lead high quality delivery on Data sciences over all- deliver class leading data sciences solutions that are scalable across all customer groups. Actively lead and drive change through the capability leading a strong leadership team to support accelerating Reach and Scale. Partner with leadership in US, brands/stakeholders and other capabilities teams to drive value and productivity. Create a framework for communication, project management and execution across team to help drive best practices 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. Know and fully understand Lilly’s processes, brand strategies and tactics and support resources to effectively coach team and remove barriers by understanding Lilly’s culture, org structure, roles and practices. Lead key initiatives for data sciences across sub capabilities from ideation to impact measurement. Identify improvement opportunities and remove barriers. Oversee capacity planning and resourcing and look for capacity utilization across the BI&A organization in close partnership with the BI&A Analytics leader Uphold Lilly policies and procedures. Demonstrate ability to partner effectively across functions by cultivating a strong network of cross-functional colleges. Facilitate shared learning forums to identify challenges and establish best practices across the team. Build goals and manage metrics associated with the quality, speed, value of their individual reports (e.g. cycle time, rework, throughput, deviations) Overall be accountable for the performance and results of the function.

People leadership

Develop a pipeline of data science talent and leadership, and contribute to an inclusive community of data analytics practitioners/ thought leaders. Proactively operate to ensure smooth team operations and effective collaboration. Conduct quarterly/ annual performance reviews of the team and motivate team to achieve excellent results. Lead a team of leaders across datasciences and machine learning ops teams and manage HC GenOpex, and organizational targets as required.  Provide leadership on standardizing frameworks for communication, project management, and execution across COE and business-focused teams Drive strategy for sourcing of new talent, both internally and externally, as well as internships, early career, and experienced hiring Work with Functional Leadership and HR to define career paths and develop deep and wide pipeline of market research talent and cross functional leadership Contribute to an inclusive community of insights practitioners Proactively identify and manage organizational and operational problems, including, but not limited to talent management, succession planning and build a deep pool of talent to meet business goals.

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. Go beyond to support BI&A leadership to implement out of box solutions which support Lilly’s organizational objectives.

Minimum Position Qualifications:  

16+ years of experience with strong understanding of advanced analytics, ML and AI with relevant experience designing and implementing solutions Relevant experience in developing and deploying enterprise AI/ML application in AWS or other cloud platforms. Knowledge of DevOps, UI development, analytics platforms, Agile Development and AI deployments Demonstrate the ability to drive, lead others and influence others outside of their sphere of influence. Experience in softer aspects for AI adoption, including but not limited to Responsible AI framework, Ethical AI standards and regulations Manage team(s) focused on deploying high quality projects in advanced analytics, machine learning and artificial intelligence Manage a team i.e. responsible for staff performance evaluations and management training and development; and have authority to hire Identify and hire talent to foster innovation and excellence. Proven experience in assessing business value, risk mitigation, cost optimization and return on investment. Deliver results based upon annual goals, department goals and management requests. Develop department budget, performance standards, and schedules. Establish operating policies and procedures. Implement initiatives for continuous improvement and ideas for positive disruption.

Preferred Qualifications / Certifications  

Passion of using AI/ML techniques to solve business problems Prior experience in Pharma or Life Sciences domain

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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