Assistant Vice President, Delivery Lead

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Job Description - Assistant Vice President, Delivery Lead (ANA019739)

Assistant Vice President, Delivery Lead - ANA019739

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, innovation-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.

Inviting applications for the role of Assistant Vice President, 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 principles. In 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 leaders—Finance, FP&A, Merchandising, Marketing, Operations, and IT—to 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.

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).

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

Master’s or PhD in Data Science, Statistics, Computer Science, Economics, Finance, Engineering, or related field.

Preferred Qualifications/ Skills

Master’s 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.

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.