Delivery Lead / Delivery Manager (Noida/Pune)

Role: Delivery Lead / Sr. Delivery Manager

Experience: 14+ Years

We are looking to hire an experienced Delivery Leader with strong product engineering and AI-enabled delivery expertise. This role is pivotal in ensuring the successful delivery of high-impact engineering and AI-driven digital transformation projects that align with clients strategic goals.

The person will oversee project management, client engagement, team leadership, delivery excellence, and the adoption of modern AI technologies such as Generative AI, automation, and data-driven engineering practices to improve product delivery outcomes.

Key Responsibilities

Project Oversight:

Lead and manage the delivery of multiple engineering and AI-enabled digital transformation projects, ensuring adherence to timelines, budgets, and quality standards. Work closely with stakeholders to ensure successful execution and delivery outcomes.

Client Engagement:

Act as the primary point of contact for clients, fostering strong relationships and ensuring satisfaction with project outcomes. Engage with stakeholders to review engagement health, discuss AI-driven innovation opportunities, identify growth areas, and address concerns.

Team Leadership:

Build, mentor, and lead high-performing delivery teams including AI engineers, software engineers, data engineers, and product specialists, fostering a culture of collaboration, innovation, and accountability.

Strategic Alignment:

Collaborate with engineering leaders, product managers, and other stakeholders to align project delivery with product roadmaps, AI initiatives, and digital transformation strategies.

AI & Innovation Enablement:

Drive adoption of AI/ML, Generative AI, intelligent automation, and data-driven development practices to enhance engineering productivity, accelerate delivery cycles, and create business value.

Continuous Improvement:

Identify opportunities for process improvements and implement AI-enabled delivery practices, automation tools, and engineering best practices to enhance delivery efficiency and effectiveness.

Risk Management:

Proactively identify and mitigate delivery risks across engineering and AI implementation initiatives to ensure successful outcomes.

Performance Metrics:

Define and track key performance indicators (KPIs) including delivery efficiency, engineering productivity, and AI adoption impact to measure delivery success and drive continuous improvement.

Account Growth:

Support account expansion by identifying AI, automation, and digital engineering opportunities for upsell and cross-sell within existing engagements.

Qualifications

Education:

Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field.

Experience:

• Minimum 15+ years of experience in software development and engineering delivery
• At least 7+ years in project/program delivery leadership roles within technology or product engineering organizations

Technology Expertise:

• Experience delivering projects involving Java, .NET Core, Angular/React/Vue.js etc
• Exposure to microservices architecture and distributed systems
• Experience with cloud platforms such as AWS, Azure, or GCP
• Understanding or exposure to AI/ML, Generative AI, LLM-based solutions, or AI-assisted engineering tools is highly desirable

Leadership Skills:

Demonstrated experience in leading and developing multidisciplinary teams including engineering, data, and AI teams.

Communication Skills:

Excellent verbal and written communication skills with the ability to effectively communicate with clients, leadership teams, and technical stakeholders.