Mars

SAP Datasphere, Data Model Delivery Manager

Mars

full-time

Posted on:

Location Type: Hybrid

Location: London • 🇬🇧 United Kingdom

Visit company website
✨ AI Apply
Apply

Job Level

Mid-LevelSenior

Tech Stack

AzureCloudETLPMPSQL

About the role

  • Advocate and propose harmonised data models across data sources and process areas for scalable architecture in SAP Data Sphere
  • Drive consistency and standardisation in data modelling by informing and educating stakeholders with value proposition of coherent and consistent data models in SAP eco system
  • Develop, implement, and maintain logical and physical data models aligned with enterprise and segment data architecture standards
  • Collaborate with business analysts, data engineers, and stakeholders to gather requirements and translate them into effective data models
  • Ensure data models adhere to enterprise and segment data governance policies, security standards, and compliance requirements
  • Maintain documentation of data models, data definitions, and data flow diagrams using enterprise tools and platforms
  • Assist and support the design of integrated analytics solutions and fully own their delivery, optimising data models, flows, and reporting
  • Identifying data-related business requirements and service standards (e.g., transaction processing speed, data mining and reporting capabilities, data security, scalability, etc.)
  • Developing a high level enterprise data model and conceptual views of related data sub-architectures (e.g., database, data integration, data warehouse/business intelligence, reporting, metadata, and content management architectures)
  • Optimizing overall data/information flow by reducing redundancy and enabling accessibility within security boundaries
  • Drive Delivery of quality, scalable and robust SAP BTP Datasphere and solutions with third party System Integrator partners
  • Drive innovation by recommending improvements to data modeling processes and tools, e.g. roadmap and integration with SAP Business Data Cloud
  • Stay updated with industry best practices, emerging trends, and tools in data modeling and data management
  • Collaborate with IT teams to design and implement solutions, conduct detailed analysis, provide recommendations for process and system improvements
  • Provide mentorship and guidance to junior team members and peers
  • Ensure data models adhere to data governance policies, security standards, and compliance requirements
  • Drive and define data quality initiatives in collaboration with enterprise and segment stakeholders, by defining standards and validation rules for data models
  • Collaborate with Data Privacy teams to ensure sensitive data is appropriately modeled and protected

Requirements

  • Bachelor’s or master’s degree in computer science, Information Systems, Data Science, or related field
  • Strong experience with SAP Datasphere, SAP BW/4HANA, and SAP HANA, preferably SAP certified
  • Proven experience (typically 5+ years) in data modeling, data architecture, or related roles in SAP datasphere or similar in SAP / Azure ecosystem
  • Functional understanding of various S4 process areas, e.g. Source to Pay, Record to Report, Plan to Fulfil, Lead to Cash
  • Excellent verbal and written communication skills
  • Integration between Datasphere and Collibra for publishing data models in enterprise wide process modelling tools
  • Knowledge of SQL, data integration, and ETL/ELT processes
  • Familiarity with data governance, security, and compliance standards
  • Proficiency in data modeling tools (e.g., ERwin, PowerDesigner, or similar)
  • Certification in data management or project management (e.g., DAMA-DMBOK, PMP)
  • Experience of previous product ownership / product management role in this technical area
  • Comfortable with ambiguity, with a passion for collaboration to achieve objectives
  • Basic experience of Project or Scrum Management
  • Organisationally Savvy
Benefits
  • Best-in-class learning and development support from day one, including access to our in-house Mars University
  • An industry competitive salary and benefits package, including company bonus

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data modelingdata architectureSQLETLELTdata integrationdata governancedata securitydata compliancedata quality
Soft skills
communicationcollaborationmentorshipproblem-solvingorganizational savvyadaptabilityinnovationstakeholder engagementanalytical thinkingleadership
Certifications
DAMA-DMBOKPMPSAP certification