Data Science Delivery Lead- Pharma

• Ability to develop a point of view on industry and global trends and articulate their impact on pharma clients.
• Good to Have-Prior experience working with pharma or life sciences clients in a consulting or enterprise environment.
• Familiarity with pharma data domains such as clinical trials, commercial analytics, patient data, real-world evidence (RWE), or supply chain data

• Accountable for delivery quality for all the projects in the account.
• Ensures that client deliverables provide material value or impact to client's businesses, thereby maintaining high levels of contract renewal probabilities.
• Ensures process for identifying potential risks are in place. Mentors project leaders in the account to develop strategies to mitigate risks.

• Builds and maintains strong relationships with clients, understands their needs, manages their expectations, and strives to make them successful in their roles.
• Leads Monthly Business Reviews with clients and consciously and regularly seeks feedback from clients on the team's performance.

• Builds and leads high-performing project teams. Provides guidance, mentoring, and coaching to team members. Promotes a culture of collaboration, innovation, and continuous learning.
• Provides both business and technical guidance to the delivery team.
• Looks for improvements in delivery processes, actively seeks buy-in on the improvements from peers and managers, implements them in the team and monitors their adoption.
• Ensures that necessary structures, processes, KPIs, scorecards, etc., to ensure quality delivery standards, are adopted as a way of working by everyone in the account.

• Engages clients in strategic conversations shows thought leadership.
• Manages account delivery within the financial levers that help maintain EBITDA. These levers include Gross utilization, recommended designation mix, and billing Project delivery leads where possible.

• Project management methodologies and tools
• Probability and Statistics
• Practical Machine Learning, including key pitfalls and approaches to address them.
• SQL and Python
• MS Office applications - Excel and PowerPoint

• Strong business acumen with an ability to assess financial impact of decisions - both in the operations of running the delivery team and in the context of delivering solutions to clients.
• Ability to recognize pragmatic alternatives vis-à-vis a perfect solution and get the delivery teams on-board to pursue them, balancing priorities of time with potential business impact.
• Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation.
• Leadership and mentorship to the delivery team.
• Ability to storyboard presentations effectively and hold conversations with senior executives in client businesses.
• Self-driven with a strong sense of ownership.
• Solution proposals, collaborating with growth, customer success and central solutioning functions.
• Ability to hold conversations with senior and C-suite level executives in client businesses.

• An undergraduate/postgraduate degree in engineering, statistics, mathematics, computer science, or another technical field.
• 8 to 12 years of relevant prior work experience and technical aptitude will be important.

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