Director - BI, Reporting and Data Visualization

Ready to turn bold ideas into real-world impact?
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or 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 agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job Description -

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 I Tto translate business challenges into scalable data science products. Responsibilities: - 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. - 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. - 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. - 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. - Governance ML Ops & 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 Gen AI and data science relevant to the CGR domain.

Qualifications -

Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science

Certifications -

Azure Data Engineering (DP-203) - MicrosoftMicrosoft, Databricks Data Engineer Associate - Databricks AcademyDatabricks Academy, Microsoft Azure Data Fundamentals - MicrosoftMicrosoft, Microsoft Certified: Azure Data Fundamentals (DP-900) - MicrosoftMicrosoft, Microsoft Certified: Power BI Data Analyst Associate - MicrosoftMicrosoft

Required Skills -

Actuarial Services, Actuarial Services, Agile Methodology, AI/ML Ops, AML Investigations, Business Analysis, Business Development, Business Intelligence (BI), Business Process Management (BPM), Business Reporting, Capital Markets, Change Management, Client Relations, Collaboration Tools, Customer Onboarding, Data Analytics, Data Management, Data Visualization, Design Thinking, Executive Presence, Inclusion, Insight Generation, Know Your Customer (KYC), Modernizing Operations, People Leadership {+ 6 more}

Language

English

Language Proficiency -

Proficient - C2

Additional Job Location -

Job Type

Regular

Master Skill List -

BI, Reporting and Data Visualization

Remote Type -

Hybrid

Work Shift -

Standard (United Kingdom)