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