Data Science - Delivery Unit Head (Pharma)

As a Data Science Delivery Unit Head at MathCo, you will play a crucial role in overseeing project delivery to ensure top-notch quality and client satisfaction. Your responsibilities will include managing client relationships, leading high-performing teams, and ensuring the success of various engagements. Here's a breakdown of what you can expect in this role: Project Delivery: - Take accountability for the delivery quality of all projects within the account. - Ensure that client deliverables bring significant value to clients" businesses, enhancing the chances of contract renewals. - Establish processes to identify and mitigate potential risks, guiding project leaders in developing risk mitigation strategies. Client Relationship: - Foster strong relationships with clients by understanding their needs, managing expectations, and supporting their success. - Conduct Monthly Business Reviews with clients and actively seek feedback on the team's performance. Team Management: - Build and lead high-performing project teams, providing guidance, mentoring, and coaching to team members. - Encourage a culture of collaboration, innovation, and continuous learning within the team. - Drive improvements in delivery processes, secure buy-in from peers and managers, implement changes, and monitor adoption. Business Consulting: - Engage clients in strategic discussions and demonstrate thought leadership. - Manage account delivery within financial parameters to maintain EBITDA, focusing on Gross utilization, designation mix, and billing. Required Skills: Tech: - Proficiency in project management methodologies, Probability and Statistics, Practical Machine Learning, SQL, and Python. - Competence in using MS Office applications, particularly Excel and PowerPoint. Non-Tech: - Strong business acumen with the ability to assess financial impacts of decisions. - Excellent people skills, conflict resolution, empathy, communication, listening, negotiation, leadership, and mentorship. - Ability to storyboard presentations effectively and engage in conversations with senior executives. - Self-driven with a strong sense of ownership and a focus on proposing solutions collaboratively. Preferred Educational Qualification: - An undergraduate/postgraduate degree in engineering, statistics, mathematics, computer science, or a related technical field. - 13 to 17 years of relevant work experience and technical aptitude are preferred for this role.,