IMU - AI & Data Manager

Job Title - S&C Data & AI, Manager IMU Management Level: 07 - Manager Location: Delhi, Mumbai, BangaloreMust have skills: AI and data experience, Data Science & Modeling particularly in sales, marketing, and supply chain,Good to have skills: Python, visualization tools like Power BI and Tableau, data warehousing platforms like Databricks and Snowflake.Experience: Minimum 10+ years of relevant experience Educational Qualification: Master’s degree in business administration (MBA) or post graduate degree in management (PGDM)Job summaryAs a Data & AI, Manager within the India Market Unit, you will help drive client value creation by combining industry context with Data AI, analytics, and cloud-led delivery. You will partner closely with client stakeholders and internal teams to translate business priorities into well-governed data assets, high-quality insights, and scalable solutions.In this role, you will own standards and best practices for data analysis, profiling, modeling, mapping, and query governance; ensure data quality and accuracy across delivery initiatives; and support release/change management by understanding end-to-end data flows, dependencies, lineage, and access controls. You will also help shape and deploy predictive and machine-learning solutions using platforms such as Python/Spark and cloud services, while maintaining alignment to organizational data principles and guidelines.Key Responsibilities

• Understand client business priorities, leadership agenda, and industry landscape.
• Build and manage strong client relationships, providing strategic insights and industry expertise.
• Ensure data quality, accuracy, and consistency across all delivery initiatives.
• Lead data analysis, profiling, modeling, mapping, and query design activities.
• Review and govern data queries and DML to maintain performance and compliance.
• Define and enforce standards and best practices for data analysis, modeling, and query development.
• Develop and maintain an enterprise data dictionary aligned with business glossary and data assets.
• Define and manage the organization’s data landscape, including overlays with technology architecture, end-to-end data flows, transformations, and lineage.
• Partner with the data governance team to ensure adherence to organizational data principles and guidelines.
• Delivery experience in industries like – Resources, Consumer Goods, Life sciencesProfessional & Technical Skills:
• Proven experience in predictive analytics and data science modeling.
• Hands-on expertise with at least one major analytics product/platform.
• Strong understanding of big data, data lakes, machine learning, and conversational AI.
• Experience deploying models on cloud platforms (AWS, Azure, GCP).
• Prior consulting experience, preferably with exposure to C-suite stakeholders.