Delivery Manager – Data & AI

Incture Technologies; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Incture Technologies is seeking a senior data & analytics leader to drive multiple projects from planning through delivery in a fast-paced environment.

You will guide cross-functional teams, manage stakeholders including CxOs, and ensure high-quality results aligned with client goals across AI/ML, BI, and data platforms.

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 relationships with CxOs, Product Owners, and Business SMEs; drive customer satisfaction and account growth.
• 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

Data & analytics delivery

Stakeholder management

Team leadership

Cloud platforms

Education

Bachelor’s/Master’s in CS/DS/Engineering

Tools

Azure

AWS

GCP

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.