JOB OBJECTIVE: 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 client's 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