Delivery Manager – Data & AI

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 strong 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.
    

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.