AstraZeneca
Global Business Services
SeniorManager-SAPAnalyticsCloud&Datasphere
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Manager - SAP Analytics Cloud & Datasphere at AstraZeneca. Skills: SAP Analytics Cloud, Datasphere, Data integration, Analytics. Lead end-to-end design and delivery of analytic applications. Own architecture and build of secure, governed data models”
What You'll Achieve.
Scale SAP Analytics Cloud (SAC) and Datasphere capabilities; Power data-driven decisions; Turn complex data into clear insight; Influence how critical decisions are made; Ensure solutions are robust, scalable, and aligned to business needs; Support advanced analytics, cross-system reporting, and consistent semantic definitions; Enable real-time, trusted analytics for global partners; Ensure solutions support end-to-end business processes; Unlock more value from existing SAP investments; Ensure analytics solutions are accurate, explainable, and aligned with compliance expectations
Industry & Context.
Analytical capabilities; Problem-solving capabilities
What They're Looking For.
Must Have
Degree in Computer Science, Business Informatics, or a related field, 12–15 years of relevant experience, at least 2–3 years as a Senior Consultant or in a comparable SAP SAC/Datasphere-focused role, Demonstrated experience designing, implementing, and delivering SAC solutions for reporting, including integration with SAP Datasphere, Proven hands-on experience with SAP Datasphere and SAP BDC for data management, integration, and automation, Expertise in SAC predictive functionality, Smart features, advanced story canvases, data blending, cross-calculations, input controls, and linked analysis, Advanced skills in connecting SAC/Datasphere to SAP HANA and other external databases, Proficiency in SAP Datasphere for unified, harmonized, and governed data model creation supporting enterprise analytics, In-depth knowledge of data integration and ETL processes across SAC, Datasphere, and related analytics platforms, Advanced coding and scripting abilities in SQL, Python, and JavaScript for dashboard customization and data automation, Experience with SAC scripting for custom widgets, analytics applications, and automated data flows in Datasphere, Solid background in leading all aspects of team management, coordinating worksheets, managing delivery, and mentoring team members within agile environments, Experience collaborating across various business teams to translate requirements into robust analytical solutions, Good communication skills, analytical and problem-solving capabilities, ability to thrive in an agile, dynamic environment, Fluency in business English
Nice to Have
Understanding of SAP Finance and/or Operations processes, Certification in SAC Data Analyst, Data Engineer, Low-Code/No-Code Developer, or related, Experience leading global or multi-region SAC/Datasphere implementations in complex SAP landscapes, Background in designing analytics solutions that support finance or operations transformation programmes, Exposure to data governance frameworks and metadata management within SAP-centric environments, Familiarity with DevOps practices for analytics (CI/CD pipelines for SAC content transport, automated testing of data models), Experience working with design thinking methods to shape user-centric dashboards and applications
What You'll Do.
Lead end-to-end design and delivery of analytic applications
Own architecture and build of secure
Drive hands-on integration between SAC and Datasphere
Design and deliver comprehensive SAC reports and stories
Apply advanced scripting to customize SAC applications
Champion standard processes in data visualisation
Lead and coordinate delivery teams
Mentor and coach team members
Collaborate closely with business collaborators
Act as a trusted advisor on SAC/Datasphere strategy
Promote a culture of ethical
transparent decision-making
How You'll Work.
Team & Collaboration
Collaborate closely with business collaborators, product owners, and multi-functional teams; Coordinate delivery teams; Collaborate across various business teams
Communication Scope
Good communication skills; Fluency in business English
Process & Methodology
Agile frameworks, Scrum frameworks, Team management, Delivery management
Full Job Description
**Senior Manager - SAP Analytics Cloud & Datasphere** **GCL: E** ## Introduction to role AstraZeneca’s Global Business Services – Process & Analytics Services capability is transforming how the enterprise uses data, automation, and AI to reimagine business processes. As part of the Process Insights team, this Lead Consultant role will scale SAP Analytics Cloud (SAC) and Datasphere capabilities to power data-driven decisions across the organisation. Ready to shape enterprise-wide analytics products, turn complex data into clear insight, and influence how critical decisions are made every day? ## ## Accountabilities Lead the end-to-end design and delivery of analytic applications, interactive dashboards, and benchmark models using SAP Analytics Cloud and Datasphere for both import and live scenarios, ensuring solutions are robust, scalable, and aligned to business needs. Own the architecture and build of secure, governed data models in Datasphere that support advanced analytics, cross-system reporting, and consistent semantic definitions across SAP and non-SAP sources. Drive hands-on integration between SAC and Datasphere, connecting, modelling, and harmonising data from multiple systems to enable real-time, trusted analytics for global partners. Design and deliver comprehensive SAC reports and stories with multiple tabs, queries, visualisations, drill-downs, and advanced interactions tailored to specific business processes and user journeys. Apply advanced scripting (JavaScript, SQL, Python) to customise SAC applications, create custom widgets, orchestrate automated data flows in Datasphere, and embed predictive and R-based visualisations. Champion standard processes in data visualisation, usability, accessibility, and performance optimisation, continuously tuning dashboards and applications and proactively identifying bottlenecks and enhancements. Lead and coordinate delivery teams, managing junior developers across the lifecycle from requirements through build, tes
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