Job Title - S&C Data & AI, Manager IMU

Management Level: 07 - Manager

Location: Delhi, Mumbai, Bangalore

Must 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 Summary

As 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 sciences

Professional & 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.
Build, train, and deploy data science models using Python, Spark, and cloud platforms.
Drive analytics initiatives using platform-/cloud-based approaches.
Ability to articulate a clear point of view on analytics trends and services.

What's in-store for you - Learn and grow continuously: Build new skills, grow existing skills, develop new areas of expertise within functional, technical or industry areas of the business with Accenture's unmatched 24/7 expert-curated learning boards, webinars and classroom-style training programs - Innovate: Get access to resources that will allow you to leverage the latest technologies and bring innovation to life with the world's most recognizable companies - Thrive and advance: Grow your career as far as your ambitions take you. - Truly human: Bring your whole self to a company that aims to be the most diverse in the world and delivers real-time performance feedback based on your strengths, not stats

IMU - AI & Data Senior Manager