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SASAP

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

Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Architecting data and analytics solutions for industrial clients, integrating Business AI with SAP Business Data Cloud. 10+ years in Data & Analytics architecture and business transformation, with SAP cloud methodologies (RISE/Clean Core) knowledge, required. Frequent client travel for implementation projects, within SAP's cloud ecosystem.

Requirements

  • Deep expertise in Data & Analytics and data platform architectures, concepts, business impacts
  • Strategic view aligning with SAP’s vision and cloud methodologies (RISE or Clean Core)
  • Proven ability to align technology and business strategies for customer outcomes
  • 10+ years of experience in Data & Analytics architecture and business transformation
  • Track record of inspiring customers, driving collaboration, delivering high-impact solutions
  • Proven track record of delivering large scale data & analytics programs/projects in SAP environment
  • Strong focus on customer success
  • Extensive experience leading large-scale transformations
  • Skills in change management for digital adoption and measurable client value
  • In-depth knowledge of SAP’s Data & AI portfolio (SAP Business Data Cloud, SAP Datasphere, SAP Analytics Cloud, SAP BW)
  • Knowledge of correlation with SAP Business AI, SAP RISE including Clean Core principles and SAP BTP
  • Experience with third-party data platforms (Databricks, Snowflake) and hyperscaler ecosystems (Google Cloud Platform, AWS, Microsoft Azure)
  • Deep technical expertise in integration architectures across hybrid SAP and non-SAP environments
  • Strong knowledge of Data Mesh and Data Fabric approaches
  • Strong knowledge of Big Data and Data Lake technologies
  • Strong knowledge of OpenSource technologies, including Apache ecosystem
  • General knowledge about hybrid data & AI architectures
  • Proven success in guiding impactful transformations and leading change management initiatives
  • Strong networking skills within SAP and externally
  • Ability to build trusted relationships with leaders (CIOs, CTOs)
  • Strong ecosystem engagement across SAP Data and Analytics landscape (Development, Sales, Enterprise Architecture)
  • Engagement with external partners, hyperscalers, third-party vendors for innovation, scaling, customer impact, feedback
  • Cross-industry expertise with deep knowledge in at least one industry
  • English language skills (required)
  • German language skills (preferred)
  • Experience integrating AI and emerging technologies (advantageous)
  • S/4HANA and business transformation knowledge (advantageous)
  • Relevant industry certifications (e.g., SAP Certified Architect) (advantageous)
  • Recognition as a thought leader in enterprise architecture (advantageous)
  • Expertise in advanced change management practices (advantageous)
  • History of driving engagement and complex organizational change (advantageous)

Tasks

  • Develop innovative business data and analytics concepts, strategies, and solutions for industrial clients.
  • Advise on SAP Business Data Cloud reporting and planning solutions.
  • Manage solution lifecycle from requirements to implementation.
  • Transform and modernize existing reporting and planning systems.
  • Integrate Business AI with high-quality data.
  • Assume program and project responsibility.
  • Support presales activities.
  • Deepen and expand customer relationships.
  • Provide competent, solution-oriented consulting.
  • Lead transformative projects defining SAP’s strategy.
  • Drive customer success.
  • Collaborate with global teams, executives, and customers.
  • Work on high-value transformations.

Work Experience

  • 10 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent
  • GermanBasic

Tools & Technologies

  • SAP RISE
  • Clean Core
  • SAP Business Data Cloud
  • SAP Datasphere
  • SAP Analytics Cloud
  • SAP BW
  • SAP Business AI
  • SAP BTP
  • Databricks
  • Snowflake
  • Google Cloud Platform
  • AWS
  • Microsoft Azure
  • Data Mesh
  • Data Fabric
  • Big Data technologies
  • Data Lake technologies
  • Apache ecosystem
  • AI technologies
  • S/4HANA

Benefits

Learning & Development

  • Constant learning
  • Skill growth
  • Continuous learning
  • Professional development

Career Advancement

  • Clear path to advancement
  • Opportunities for leadership

Diverse Work

  • Opportunities for specialization

Flexible Working

  • Flexible environment
  • Flexible working models

Startup Environment

  • Innovation

Informal Culture

  • Culture of inclusion

Healthcare & Fitness

  • Health and well-being focus
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