About the Role
We are seeking a Data Science Delivery Lead to oversee and manage the delivery of data science projects. The ideal candidate will have extensive experience leading high-performing teams, managing client relationships, and delivering innovative data science solutions that drive business impact. You will play a key role in ensuring the success of client engagements, managing project quality, and fostering a collaborative team culture.
Key Responsibilities
1. Project Delivery
- Ensure High-Quality Delivery : Lead the execution of data science projects, ensuring quality deliverables that align with client objectives and expectations.
- Accountable for Project Success : Take ownership of the delivery quality for all projects within your account portfolio, ensuring clients receive value that drives long-term success and contract renewals.
- Risk Mitigation : Implement and oversee processes for identifying and managing risks. Mentor project leaders on developing strategies to mitigate risks and resolve challenges during project execution.
2. Client Relationship Management
Client Engagement : Build and maintain strong relationships with key clients, ensuring a deep understanding of their needs, goals, and challenges.Expectation Management : Regularly engage with clients to manage expectations, ensuring projects stay aligned with business objectives and desired outcomes.Business Reviews : Lead Monthly Business Reviews (MBRs) with clients, highlighting successes, gathering feedback, and continuously improving delivery.3. Team Leadership & Development
Lead High-Performing Teams : Build and lead talented, high-performing teams of data scientists and project leaders, guiding them in both technical execution and business strategy.Mentorship & Coaching : Provide ongoing mentorship and coaching to team members, fostering a culture of collaboration, continuous learning, and professional development.Process Improvements : Actively look for opportunities to improve delivery processes, incorporating feedback from peers and managers. Ensure adoption of best practices, KPIs, and delivery standards within the team.4. Business Consulting & Strategy
Thought Leadership : Engage in strategic conversations with clients, providing insights and innovative solutions that address business challenges.Account Financials : Manage the financial levers of project delivery, including gross utilization, billing, and the recommended designation mix to optimize EBITDA and client satisfaction.Collaboration with Growth Teams : Work closely with internal growth, customer success, and central solutioning functions to ensure smooth project execution and business development.Required Skills
Technical Skills (Must-Have)
Strong understanding of Project Management methodologies and tools (Agile, Scrum, Waterfall, etc.).Solid foundation in Probability and Statistics as applied to data science.Proficiency in SQL and Python , including experience with machine learning and data analytics frameworks.Advanced proficiency with MS Excel and PowerPoint for data analysis, visualization, and client presentations.Business & Leadership Skills
Strong business acumen , with the ability to assess the financial impact of project decisions and client solutions.Ability to make pragmatic decisions , balancing the ideal solution with time constraints and potential business impact.Strong people management skills , including conflict resolution, empathy, and effective communication with teams and clients.Proven track record of leading teams , offering mentorship, and promoting a culture of innovation and excellence.Ability to communicate complex technical ideas to C-suite executives and other senior stakeholders.Why Join Us?
Lead cutting-edge data science projects that make a real business impact.Work in a collaborative environment where your ideas matter.Opportunity to work with a talented team of professionals and make a difference at the organizational level.Competitive salary and benefits, including growth opportunities and mentorship.