Delivery Manager – Data & AI
Summary
A senior delivery manager owns end-to-end delivery of concurrent data science, AI/ML, and analytics projects for clients — handling planning, estimation, risk, and stakeholder relationships while leading cross-functional teams. Provides technical oversight of ML deployment, data pipelines, and BI dashboards on cloud platforms (Azure, AWS, GCP) using Python, Spark, and MLOps practices.
Experience: 15+ years
Location: Bangalore
Employment Type: Full-time
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.
- Lead multiple concurrent data science and analytics projects across industry domains.
- Stakeholder Management:
- Build strong relationships with key stakeholders including CxOs, Product Owners, and Business SMEs.
- Drive customer satisfaction and account growth through proactive communication and value delivery.
- Build strong relationships with key stakeholders including CxOs, Product Owners, and Business SMEs.
- 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.
- Lead and mentor cross-functional teams of data engineers, data scientists, and analysts.
- Technical Oversight:
- Provide guidance on solution architecture, ML model deployment, data pipelines, and BI dashboards.
- Ensure alignment with data governance, security, and compliance standards.
- Provide guidance on solution architecture, ML model deployment, data pipelines, and BI dashboards.
- Process Excellence:
- Promote Agile, DevOps, and MLOps practices for efficient delivery.
- Continuously improve project delivery processes and reusable assets.
- Promote Agile, DevOps, and MLOps practices for efficient delivery.
Requirements
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
- 10+ years of IT experience, with at least 5+ years in Data & Analytics project delivery.
- Proven track record in delivering large-scale Data Science, AI/ML, or BI projects.
- Strong understanding of cloud data platforms (Azure, AWS, GCP), SQL/NoSQL, and modern ETL tools.
- Familiarity with tools like Python, R, Spark, Power BI/Tableau, and ML Ops frameworks.
- PMP, CSM, or SAFe certification is a plus.