Assistant Vice President – Delivery and Transformation Lead(Data Science).

Ready to build the future with AI? 
At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 
If you thrive in a fast-moving, innovative-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. 
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. 
We are inviting applications for the role of Assistant Vice President – Delivery and Transformation Lead(Data Science).
We are seeking experienced Delivery & Transformation Lead to oversee and elevate our partnership with the client’s Data Science vertical. This role will strengthen strategic alignment, drive future-focused initiatives (automation, self-service, scale), and ensure Genpact consistently delivers with foresight, maturity, and impact.
This leader will act as the day-to-day strategic and delivery counterpart to Client Data Science teams, enabling the Genpact Operating Leader to focus on enterprise-wide orchestration, client relationship management, and growth across all client business lines 
Work location: Bangalore
Responsibilities:
Strategic Partnership & Foresight
1.    Act as the primary thought partner to Client’s DS leadership, anticipating future needs around automation, ML Ops, self-service, and scalable data products.
2.    Identify risks, technical gaps, and architectural opportunities before they surface.

Technical Delivery Leadership
1.    Oversee development and deployment of scalable analytical solutions using Client’s preferred tech stack (PySpark, cloud Hadoop ecosystems, Databricks-style environments).
2.    Ensure robust engineering practices - version control (Git), CI/CD adherence, production-ready pipelines.
3.    Introduce scalable processes to reduce firefighting and operational variability.
4.    Ensure exceptional day-to-day support while raising delivery maturity

Transformation & Automation

1.    Lead automation and self-service initiatives aligned to client’s forward-looking                          expectations.
2.    Partner with Tech and Data Engineering to build reusable components and scalable frameworks.
3.    Drive efficiency programs that reduce manual work and increase throughout.

People Leadership & Capability Building

1.    Build, coach, and scale a high-performing team supporting Client’s DS org.
2.    Develop talent in ML Ops, Python, automation, and advanced analytics.
3.    Shape a culture of ownership, innovation, and credibility.

Stakeholder Management & Influence

1.    Strengthen credibility and influence across Client’s product, tech, and analytics teams.
2.    Serve as an escalation point for DS-related priorities.
3.    Drive alignment between Client expectations and Genpact capabilities.

Experience:
1.    Extensive hands-on experience in data science operations, ML Ops, analytics delivery, or technology-led transformation.
2.    Proven experience working with senior client technology leaders.
3.    Strong understanding of ML/AI lifecycle, automation, scalable operations, and analytics platforms.
4.    Demonstrated ability to build strategy and execute reliably.
5.    Strong communicator with presence, maturity, and credibility.
Qualifications we seek in you
Minimum Qualifications:
•    Master’s Degree: Science, Technology, Engineering and Mathematics (MSc, Masters in technology, Statistics )
Preferred qualifications:
•    Exposure to cloud platforms (AWS, Azure, GCP).
•    Experience with big data tools (Spark, Hadoop).
•    Knowledge of MLOps and model deployment best practices.
Technical skills:E    
•    PySpark, cloud Hadoop ecosystems, Databricks-style environments Ability to lead projects independently and deliver under tight timelines.
Why join Genpact?
• Lead AI-first transformation – Build and scale AI solutions that redefine industries 
• Make an impact – Drive change for global enterprises and solve business challenges that matter
• Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
• Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
• Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build 
• Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a
foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.