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IMU - AI & Data Manager

Accenture

IMU - AI & Data Manager

Accenture

New Delhi

·

On-site

·

Full-time

·

1d ago

Job Title

  • S&C Data & AI, Manager IMUManagement 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

Experience: Minimum 10+ years of relevant experience

Educational Qualification:

Master’s degree in business administration (MBA) or post graduate degree in management (PGDM)

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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Accentureについて

Accenture

Accenture

Public

Accenture plc is a Irish technology consulting company headquartered in Dublin, Ireland. Founded in 1989, Accenture provides information technology and management consulting services across 120 countries globally.

10,001+

従業員数

Dublin

本社所在地

$139B

企業価値

レビュー

3.6

9件のレビュー

ワークライフバランス

2.8

報酬

3.5

企業文化

3.2

キャリア

3.8

経営陣

3.0

65%

友人に勧める

良い点

Good career growth and learning opportunities

Great culture and work environment

Challenging and interesting work

改善点

High levels of politics

Long hours and stress

Slow moving processes

給与レンジ

20件のデータ

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0件のレポート

$63,830

年収総額

基本給

$25,532

ストック

$31,915

ボーナス

$6,383

$44,681

$82,979

面接体験

6件の面接

難易度

2.8

/ 5

期間

14-28週間

内定率

17%

体験

ポジティブ 0%

普通 67%

ネガティブ 33%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Cognitive Assessment

4

Technical Interview

5

Behavioral Assessment

6

Final Interview

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Case Study

Culture Fit