AI & Data – SAP ILM Consultant | Deloitte USI | Hyderabad / Bengaluru / Pune / Gurugram

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Job Overview




    Category
    Details




    Job Role
    Consultant – AI & Data (SAP ILM)




    Company
    Deloitte USI




    Location
    Hyderabad, Bengaluru, Pune, Gurugram




    Work Mode
    Work from Office / Client-Site as required




    Experience
    2–5 Years (SAP ILM Experience Required)




    Education
    Bachelor’s / Master’s in Engineering, IT, Computer Science, or related field




    Skills Required
    SAP ILM, GDPR Knowledge, Archiving, Data Lifecycle Management, SAP Security





About Company

Deloitte is one of the world’s largest consulting and professional services firms, offering strategy, risk advisory, technology, and digital transformation services.
The AI & Data practice at Deloitte USI focuses on helping clients manage enterprise data, implement governance models, and deploy advanced SAP ILM solutions.
This team works with global clients to ensure compliance, optimize data retention, and support digital modernization initiatives.

Detailed Responsibilities

  • Implement and support SAP ILM solutions for global clients.

  • Configure data archiving, retention management, and GDPR-compliance frameworks.

  • Integrate ILM components across SAP S/4HANA and related systems.

  • Conduct ILM assessments, create technical documentation, and support system integration.

  • Collaborate with cross-functional teams to define data lifecycle processes.

  • Troubleshoot ILM configuration issues and ensure smooth system performance.

  • Lead client workshops and explain ILM best practices.

  • Assist clients in audit readiness, data retention policy setup, and compliance reporting.

Eligibility Criteria

  • Minimum 2 years of hands-on SAP ILM experience.

  • Strong understanding of data privacy laws, GDPR retention rules, and archiving methods.

  • Experience in SAP S/4HANA, SAP ECC, or SAP data related modules.

  • Ability to analyze client requirements and design ILM-based solutions.

  • Strong communication and stakeholder engagement skills.

  • Ability to work in fast-paced consulting environments.

Skills Required / Preferred Skills

  • SAP ILM (Information Lifecycle Management).

  • SAP Archiving, Data Retention, Deletion & Storage Management.

  • Experience in SAP Security concepts.

  • Strong analytics and documentation skills.

  • Exposure to SAP Solution Manager, SAP S/4 Migration, and data governance (preferred).

  • Experience working with large datasets and compliance-heavy environments.

Selection Process




    Stage
    Description




    Application Review
    Evaluation of SAP ILM experience, technical background, and profile fit.




    Assessment / Test
    May include SAP scenario-based questions or domain evaluation.




    Interview Rounds
    Technical + Managerial interviews covering SAP ILM, compliance, and client-facing skills.

Salary & Benefits

Expected Salary Range:
₹10,00,000 – ₹18,00,000 per year
(Varies based on experience in SAP ILM and consulting background)

Benefits include:

  • Health insurance coverage

  • Retirement and financial benefits

  • Paid time off & flexibility policies

  • Professional certifications support

  • Global project exposure

  • Learning and development programs

How to Apply (Step-by-Step)

  1. Visit the official job application page.

  2. Sign in or create a Deloitte Careers account.

  3. Fill in personal, educational, and professional details.

  4. Upload your updated resume.

  5. Submit your application and monitor your email for updates.


👉 Apply here

Resume Tips

  • Highlight SAP ILM implementation or support projects clearly.

  • Add experience with GDPR, data archiving, or deletion workflows.

  • Use measurable results (e.g., “Reduced data footprint by 30% through optimized archiving”).

  • Mention tools, technologies, and client interactions.

  • Keep format clean, structured, and consulting-ready.

Assessment / Interview Tips

  • Brush up on SAP ILM modules, S/4HANA transitions, and archiving scenarios.

  • Be ready with real-world examples from past SAP implementations.

  • Communicate your problem-solving approach clearly.

  • Ensure strong understanding of data compliance and lifecycle management.

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