(IND) DIRECTOR, DATA ANALYTICS
Data Science
Bangalore Urban, Karnataka, India · Bangalore Rural, Karnataka, India · Remote
Position Summary...
As a Director Finance – Reporting & Analytics, you will lead a team of 25+ professionals across Chennai & Bangalore and will be responsible for defining the multi-year strategic roadmap for Finance Reporting & Analytics, driving adoption of AI/ML capabilities, and delivering measurable business outcomes through technology-enabled & AI transformation.What you'll do...
About the Team:
This position is part of the Finance CoE, Global Finance Transformation organization and will be based out of Walmart Global Tech Bangalore office. This is a highly visible leadership role responsible for leading the Reporting & Analytics Center of Excellence (COE) and establishing COE support for Walmart Finance’s Gen AI office. The team based out of Chennai & Bangalore provides strategic reporting, analytics, and AI-driven solutions to Walmart HQ Finance Teams, International Finance, and cross-functional business partners, driving continuous improvement and transformation across the enterprise.
What you'll do:
Define and execute the multi-year strategic roadmap for Finance Reporting & Analytics CoE, aligning with enterprise priorities and Finance Transformation goals
Partner with Transformation and Finance leaders across Walmart’s key segments to identify high-impact opportunities for Reporting, analytics, automation, and AI-driven insights
Establish and scale CoE support for Walmart Finance’s AI Office, defining vision, roadmap, governance, and operating model
Drive AI based Operational excellence in the area of Report development & maintenance
Identify and prioritize AI/ML use cases across Finance: automated commentary, predictive forecasting, anomaly detection, intelligent automation, GenAI applications
Build, lead, and inspire a high-performing team of 25+ professionals, including senior managers, analysts, data engineers, and AI specialists. The team takes care of understanding the Functional requirements, Developing new builds & managing/maintaining the publication of reporting.
Lead managers: coach and develop next-generation leaders within the R&A and AI COE teams
Drive adoption of Agile/DevOps practices within the COE, ensuring rapid iteration and value delivery
Establish reporting standards, governance frameworks, and data quality protocols across the core supported segments & build a strong relationship with leaders & Senior management
Lead change management and adoption strategies for AI-powered tools, ensuring Finance teams embrace new capabilities
Develop ethical AI guidelines, model governance, and risk management frameworks specific to CoE applications
Communicate complex technical concepts to non-technical executive audiences with clarity and impact
Strategic thinking with the ability to translate Reporting strategy into actionable roadmaps
Foster a culture of innovation, continuous learning, and collaboration within the team
Track and communicate ROI and value realization from new reporting solutions and AI initiatives to executive stakeholders
Own the P&L and budget for the R&A COE, ensuring optimal resource allocation and ROI on technology investments
What you'll bring:
Master’s degree in finance, Computer Science, Data Science, or related field. MBA, or advanced degree in a quantitative field strongly preferred
20+ years of progressive experience in Finance, FP&A, Finance Technology/Analytics & Finance Transformation roles
10+ years in people leadership roles, managing managers and building teams from the ground up and a prior experience of building/leading a Reporting CoE
Proven track record leading large-scale Finance transformation initiatives in a matrixed, global organization
Hands-on experience with Finance reporting platforms: Power BI (advanced), Tableau, OneStream, or similar enterprise systems
Deep expertise in management reporting, and analytics
Advanced proficiency in Power BI: DAX, Power Query, data modeling, enterprise deployment, governance
Strong SQL skills for data extraction, transformation, and analysis from large-scale databases (Big Query, Snowflake, SQL Server)
Understanding of data architecture, data warehousing, ETL/ELT pipelines, and modern data stacks
Knowledge of AI/ML concepts: supervised/unsupervised learning, NLP, GenAI, LLMs, predictive modeling
Experience with Agile methodologies, JIRA, Confluence, and product development practices
Experience partnering with Data Science, AI, or Machine Learning teams to deploy analytics/AI solutions
Track record of delivering measurable business outcomes through technology-enabled transformation
Additional Qualifications:
Experience in retail, consumer goods, or e-commerce industries will be an added advantage
Global / multi-country Finance experience (US, International, or multiple regions)
Familiarity with Python/R for data analysis, automation, and basic machine learning
Experience with GenAI platforms (ChatGPT, Claude, Co-pilot) and prompt engineering for Finance use cases
Advanced knowledge of Agile product development methods and experience working with Product teams globally
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Work
Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their personal lives.
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
Belonging
We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.
At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
Equal Opportunity Employer
Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Minimum Qualifications:Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 5 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in data analysis, data science, statistics, or related field. Option 3: 7 years' experience in data analysis, data science, statistics, or related field. 2 years' supervisory experience.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.