Delivery Manager – Data & AI

incture; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Incture in Bengaluru is seeking an experienced Delivery Leader for data science and analytics programs. You will oversee multiple concurrent projects, plan scope, estimate effort, manage risks, and ensure high-quality client outcomes.

You will collaborate with CxOs, Product Owners, and business SMEs, mentor delivery teams of data engineers and scientists, and guide architecture, ML deployment, data pipelines, and BI dashboards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or 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.
• Build relationships with CxOs, Product Owners, and Business SMEs; drive account growth.
• Lead and mentor cross-functional teams of data engineers, scientists, and analysts.
• Provide guidance on solution architecture, ML model deployment, data pipelines, and BI dashboards.
• Promote Agile, DevOps, and MLOps practices for efficient delivery and reusable assets.

Skills

Project delivery

Stakeholder management

Team leadership

Data analytics

Cloud platforms

SQL/NoSQL

Python

R

Spark

BI tools

ML Ops

Education

Bachelor's or Master’s degree in CS/DS/Engineering

Tools

Power BI

Tableau

Spark

ETL tools

Azure

AWS

GCP

SQL

NoSQL

Python

R

Job description

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.
• 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.

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.