Key Responsibilities:

- Project Delivery & Management:
- Lead multiple concurrent data science and analytics projects across industry domains.

- Own project planning, scope, estimation, risk management, and quality assurance.

- Ensure timely and high -quality deliverables aligned with client expectations.

- Stakeholder Management:
- Build robust relationships with key stakeholders including CxOs, Product Owners, and Business SMEs.

- Drive customer satisfaction and account growth through proactive communication and value delivery.

- Team Leadership & Resource Management:
- Lead and mentor cross -functional teams of data engineers, data scientists, and analysts.

- Participate in recruitment and upskilling of delivery teams to align with emerging tech trends.

- Technical Oversight:
- Provide guidance on solution architecture, ML model deployment, data pipelines,



and BI dashboards.

- Ensure alignment with data governance, security, and compliance standards.

- Process Excellence:
- Promote Agile, DevOps, and MLOps practices for efficient delivery.

- Continuously improve project delivery processes and reusable assets.