Work as a leader in the Decision Science Practice and help scale up the practice (People, Processes, Innovation, Thought Leadership, Top Line, Bottom Line etc.

KEY RESPONSIBILITIES :

- Leadership : Collaborative leadership in a matrix environment, managing accounts and programs independently or with little support, to deliver revenue and customer satisfaction objectives. Be a partner to onshore leaders/ clients and lead RPFs/ proposals/ POVs etc. to help grow the business

- Delivery & People Management : Nurture and build teams to deliver multiple client engagements. Delivery role will include project scoping, solution design, working closely with team in successful delivery

- Thought leadership and innovation : Leverage latest technologies, algorithms and processes to generate new ideas, build new solutions and capability for the organization. Optimize the current processes and bring in delivery innovations towards clients and internal objectives

- Capability/ Org building : Build and scale up capabilities to help efficient business delivery. Recruit, train, mentor and help build the team

- Handle Client Relationship : Manage client relationship and client expectations independently. Should be able to deliver results back to the Client independently.

- Should have excellent communication skills : verbal, written, presentation.

ELIGIBILITY CRITERIA :

- Education : B-Tech or BE in any engineering discipline or PG in Statistics/ Mathematics/ Operation Research/MBA from top tier college.

- Required Experience : Over 18 years of progressive experience, with a strong preference for leadership roles in the Life Sciences and Pharmaceutical domains.

- Proven expertise in leading large-scale analytics engagements, delivering measurable business impact across complex, global environments.

- Proven expertise in leveraging patient analytics, real-world data (RWD), and advanced data science techniques, along with deep experience across core pharmaceutical analytics areas including forecasting, sales, marketing, payer, and provider insights.

- Statistical analysis and modeling knowledge with a proven ability to translate complex data into actionable insights through compelling visualizations, consulting acumen, and strategic storytelling.

- Demonstrated logical and strategic thinking in designing, developing, and scaling analytics solutions across domains such as patient, sales, and marketing analytics.

- Ability to lead and expand client portfolios, driving growth in close collaboration with cross-functional and senior stakeholders.

- Demonstrated people, project, program and client management skills with strong communication skills.

- Technical awareness- R/ Python/ SQL.

- Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage.

- Prior experience in pharmaceutical commercial analytics is highly desirable.

Desirable qualities :

- Results-Oriented and Self-Driven : Demonstrates strong initiative, sets clear priorities, and pursues goals with persistence and a sense of ownership. Overcomes challenges with resilience and a commitment to outcomes.

- Customer Focus : Deeply committed to understanding and exceeding the expectations of both internal and external clients, ensuring long-term partnership and trust.

- Problem Solving : Applies structured thinking and analytical rigor to tackle complex challenges. Seeks diverse perspectives, identifies root causes, and delivers pragmatic, high-quality solutions.

- Learning on the Fly : Adapts quickly to new situations, absorbs knowledge rapidly, and applies learnings effectively

- Hands-on person : Actively involved in solution design, proposal development, and creation of high-impact deliverables including RFP responses and strategic presentations.

- Skilled in developing and delivering client presentations that clearly articulate insights, recommendations, and business value