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SAP
2mo ago

Senior Consultant Business Data Strategy & Advisory - Data Architect(m/w/x)

Walldorf
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Description

In this role, you will lead customer engagements to implement SAP's innovative data frameworks, focusing on developing strategies and solutions that drive measurable business impact while fostering strong client relationships.

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Requirements

  • •Deep expertise in Data & Analytics and data platform architectures
  • •10+ years of experience in Data & Analytics architecture
  • •Strong focus on customer success
  • •In-depth knowledge of SAP’s Data & Analytics portfolio
  • •Strong networking skills within SAP and externally
  • •Proven success in guiding impactful digital transformations
  • •Strong ecosystem in the Data & Analytics space
  • •Cross industry expertise with deep knowledge in at least one industry
  • •Excellent communication skills in both German and English
  • •Experience integrating AI and emerging technologies
  • •S/4HANA and business transformation knowledge
  • •Relevant certifications, such as SAP Certified Architect
  • •Expertise in advanced change management practices

Work Experience

10 years

Tasks

  • •Develop innovative business data and analytics concepts
  • •Advise on implementing and optimizing reporting solutions
  • •Analyze requirements and design technical solutions
  • •Transform and modernize reporting and planning systems
  • •Integrate BusinessAI with high-quality data
  • •Take on program and project responsibilities
  • •Support presales activities
  • •Deepen customer relationships through consulting

Tools & Technologies

SAP DatasphereSAP Analytics CloudSAP BWSAP BusinessAISAP RISESAP BTPS/4HANA

Languages

German – Business Fluent

English – Business Fluent

Benefits

Informal Culture

  • •Collaborative team environment
  • •Inclusive work environment

Learning & Development

  • •Focus on learning and development

Bonuses & Incentives

  • •Recognition for individual contributions

Career Advancement

  • •Career growth opportunities
  • •Clear path to advancement

Flexible Working

  • •Flexible working models
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