Delivery Manager – Data & AI

Incture Technologies Pvt. Ltd.; Bengaluru; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

Incture Technologies Pvt. Ltd. seeks a senior Delivery Lead to oversee multiple data science and analytics initiatives across industries. You will manage scope, estimates, risks, and quality while ensuring timely delivery that meets client expectations.

You will build strong relationships with CxOs and SMEs, drive account growth through proactive communication, and mentor cross-functional teams of data engineers and scientists. A strong background in cloud platforms and BI tools is required.

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 Python, R, Spark, Power BI/Tableau, and ML Ops frameworks.
• PMP, CSM, or SAFe certification is a plus.

Responsibilities

• 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 CxOs, Product Owners, and Business SMEs.
• Drive customer satisfaction and account growth through proactive communication and value delivery.
• 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.
• Provide guidance on solution architecture, ML model deployment, data pipelines, and BI dashboards.
• Promote Agile, DevOps, and MLOps practices for efficient delivery.

Skills

Stakeholder management

Delivery leadership

Mentoring teams

Agile/DevOps/MLOps

Education

Bachelor’s or Master’s degree in Computer Science or Data Science

Tools

Python

R

Spark

Power BI

Tableau

ML Ops frameworks

Job description

• 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.
    
• 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.
    

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.