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221 H&M Jobs

Area Manager - Data Engineering & AI Automation

3-9 years

Bangalore / Bengaluru

1 vacancy

Area Manager - Data Engineering & AI Automation

H&M

posted 5mon ago

Job Role Insights

Flexible timing

Job Description

Imagine an opportunity to make an impact at scale by leading the strategy, design, development, and implementation through managing your own Data Engineering team within HM Tech Organization!

As a leader, you will develop Data Engineering strategies overseeing the design, construction, installation, and maintenance of data architecture, ensuring the seamless flow and accessibility of data across the organization to maximize HM Brand s business value.

You thrive in fostering teamwork/collaboration and developing world-class Strategic, Technical, Engineering, and Operational capabilities. We are shaping the future of sustainable fashion and design- we trust and challenge you to grow, develop, and write your own story!

Core Responsibilities includes but is not limited to:

Leadership:

  1. Drive and lead the design a multi-year data and product strategy to create new data products and drive measurable competitive advantage for HM. Determine the investments necessary in terms of people and technology to achieve these objectives
  2. Explore data engineering, data science and AI developments and translate these to the data strategy to keep HM on the cutting edge of data optimization.
  3. Provide strategic leadership and vision for the data engineering team.
  4. Promote identification of new internal and external data assets; approve selection and integration
  5. Build and lead a high-performing team, fostering a culture of innovation, collaboration, and continuous improvement.
  6. Collaborate with cross-functional teams, including data science, analytics, and IT, to align data engineering initiatives with overall business objectives.
  7. Formal staff responsibility, including salary review, performance dialogues and support in individual development plans and competence needs

Data Architecture:

  1. Develop and implement a scalable and robust data architecture to support current and future business needs.
  2. Define and enforce data engineering standards, best practices, and guidelines.
  3. Stay abreast of industry trends and emerging technologies to ensure the organization remains at the forefront of data engineering capabilities.

Data Integration and ETL:

  1. Oversee the development and maintenance of efficient and scalable ETL processes for data integration.
  2. Ensure the timely and accurate extraction, transformation, and loading of data from various sources into the data warehouse.
  3. Data Quality and Governance:
  4. Implement data quality and governance processes to ensure the accuracy, completeness, and reliability of the organizations data.
  5. Establish and enforce data security and privacy measures in compliance with regulatory requirements.

Infrastructure Management:

  1. Manage and optimize data infrastructure, including databases, storage, and processing systems.
  2. Collaborate with IT teams to ensure the availability, performance, and scalability of data systems.
  1. Masters or Graduate degree in Computer Science, Engineering OR related discipline is desired
  2. Open to any Industry, though experience within retail/brands/e-commerce would be an added advantage
  3. 15+ years of data and analytics l

Employment Type: Full Time, Permanent

Functional Areas: Software/Testing/Networking

Read full job description

H&M Interview Questions & Tips

Prepare for H&M Data Engineer roles with real interview advice

Top H&M Data Engineer Interview Questions

Q1. What is customer service according to you?
Q2. How well do you know about operations of a store?
Q3. What is sales according to you?
View all 24 questions

What people at H&M are saying

Data Engineer salary at H&M

reported by 4 employees with 5-7 years exp.
₹21 L/yr - ₹31.2 L/yr
129% more than the average Data Engineer Salary in India
View more details

What H&M employees are saying about work life

based on 695 employees
77%
48%
48%
96%
Flexible timing
Rotational Shift
No travel
Day Shift
View more insights

H&M Benefits

Health Insurance
Job Training
Cafeteria
Free Transport
Soft Skill Training
Child care +6 more
View more benefits

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