Delivery Lead- Senior Manager English

Ready to build the future with AI

At Genpact we dont just keep up with technologywe set the pace. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory our industry-first accelerator is an example of how were 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 innovation-driven environment love building and deploying cutting-edge AI solutions and want to push the boundaries of whats possible this is your moment.

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading ourdeep business knowledge operational excellence and cutting-edge solutions we help companies across industries get ahead and stay by curiosity courage and innovationour teamsimplementdata technology and AItocreate tomorrow to know us onLinkedInXYouTube andFacebook.

Inviting applications for the role of Senior Manager Delivery Lead!

We are seeking a highly skilled Senior Data Scientist / Delivery Manager with strong expertise in retail use case development financial analysis and accounting this role you will lead the design development and deployment of advanced analytics solutions that drive measurable business impact across merchandising supply chain pricing store operations and financial performance.

You will partner closely with cross-functional leadersFinance FP&A Merchandising Marketing Operations and ITto translate business challenges into scalable data science products.

Responsibilities

1. Use Case Development & Solution Design

Identify prioritize and develop high-value analytics use cases across retail functions such as demand forecasting price & promotion optimization inventory planning customer segmentation and store performance analytics.

Translate business needs into analytical problem statements selecting the right methodologies and data sources.

Build business cases quantify ROI and work with stakeholders to ensure adoption.

2. Advanced Modeling & Analytical Execution

Develop validate and deploy machine learning/statistical models (e.g. time-series forecasting recommendation systems propensity models optimization algorithms).

Apply financial modeling and accounting understanding to design solutions that tie directly to revenue margin cost and profitability metrics.

Conduct exploratory data analysis feature engineering and model performance tracking.

3. Data Architecture & Engineering Collaboration

Partner with data engineering teams to define data requirements improve data quality and optimize pipelines for scalable model deployment.

Work within cloud environments (AWS GCP Azure) to operationalize models and automate analytics workflows.

4. Business Partnership & Communication

Present insights and model outcomes to senior executives in Finance Operations and Commercial teams.

Build strong relationships with business units to enable data-driven decision-making.

Conduct workshops and analytics roadmapping sessions with functional leaders.

5. Governance MLOps & Continuous Improvement

Implement best practices in model governance version control monitoring and documentation.

Lead continuous improvement initiatives to refine models data processes and solution performance.

Delivery Leadership & Program Management

Oversee the delivery of multiple concurrent analytics and data science projects from scoping to deployment.

Manage timelines budgets quality standards and stakeholder expectations for all analytics deliverables.

Establish governance frameworks delivery methodologies and best practices for analytics program execution.

Technical & Analytical Oversight

Guide data scientists analysts and engineers in developing advanced analytical models (e.g. predictive modeling optimization NLP computer vision).

Ensure quality scalability and interpretability of analytics outputs.

Champion the use of modern data science tools AI/ML platforms and cloud-based analytics ecosystems (Azure AWS or GCP).

Team Leadership & Talent Development

Lead mentor and inspire cross-functional analytics teams to deliver excellence.

Foster a culture of innovation collaboration and continuous learning.

Support hiring training and career development of analytics talent.

Strategic Impact & Innovation

Identify and prioritize high-value use cases across the CGR lifecycle such as demand forecasting trade optimization portfolio mix analysis consumer segmentation and digital shelf analytics.

Drive adoption of advanced analytics solutions across the organization to unlock revenue growth and operational efficiency.

Stay abreast of emerging technologies and trends in AI GenAI and data science relevant to the CGR domain.

Qualifications we seek in you!

Minimum Qualifications

Masters or PhD in Data Science Statistics Computer Science Economics Finance Engineering or related field.

Preferred Qualifications/ Skills

Masters degree in Data Science Statistics

Relevant years of experience in data science advanced analytics or machine learning roles.

Demonstrated experience developing retail analytics use cases (e.g. demand forecasting price optimization customer analytics churn prediction assortment planning).

Strong knowledge of finance accounting fundamentals and P&L drivers.

Expertise in Python or R SQL and ML frameworks (scikit-learn TensorFlow PyTorch XGBoost).

Experience working with cloud platforms (AWS/GCP/Azure) and modern data stacks.

Strong understanding of data modeling version control (Git) and model deployment practices.

Exceptional communication skills with the ability to translate complex analytics into clear business recommendations.

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 careerGain 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 140000 coders tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.

Lets 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.