SAP Datasphere and Data Model Delivery Manager (Maidenhead)

Job Description:

We are seeking a highly skilled and motivated SAP Data Sphere Data Modeller and Delivery Manager to lead the design, development, and delivery of complex data models within our Data Sphere platform. This role requires a blend of technical proficiency in data modelling, strong project management capabilities, and the ability to collaborate across cross-functional teams to ensure data solutions meet business needs, quality standards, and compliance requirements.

• Bachelors or masters degree in computer science, Information Systems, Data Science, or related field.
• Strong experience withSAP Datasphere,SAP BW/4HANA, andSAP 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

What will be your key responsibilities?

Data Model & Design:

• 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

Delivery Management and Innovation:

• 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.

Data Governance & Compliance:

• 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 modes.
• Collaborate with Data Privacy teams to ensure sensitive data is appropriately modeled and protected.

• Work with diverse and talented Associates, all guided by the Five Principles.
• Join a purpose driven company, where were striving to build the world we want tomorrow, today.
• 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.

#TBDDT