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Mars is seeking a skilled data & analytics leader in São Paulo to design and deliver SAP Datasphere and Business Data Cloud solutions across the enterprise. You will define data models, pipelines, and governance while integrating SAP and non-SAP sources and guiding a cadre of data professionals.
Experience with Databricks, Snowflake, and cloud platforms, plus Python and PowerShell, is preferred. You will drive data quality, security, and scalable analytics initiatives across Mars.
Job Description:
Bachelor’s degree in Computer Science - or equivalent in experience
Graduate-level desirable
Strong experience in SAP Data & Analytics stack (Datasphere / BW/4HANA / BTP, SAC, Fiori and Joule)
Expertise in data modelling, ETL/ELT, and data integration
Knowledge of SAP Business Data Cloud concepts and architecture
Hands‑on experience with APIs, data services, and cloud integrations
Strong understanding of data governance and data quality frameworks.
Knowledge of Azure, GCP, Databricks, Snowflake and other cloud platforms
Experience with Python and PowerShell preferred.
Experience with Splunk and Power BI preferred
Lead design and implementation of SAP Datasphere, Business Data Cloud (BDC) solutions for enterprise data and analytics use cases
Define and manage data models, data pipelines, and data governance frameworks across SAP and non-SAP systems
Drive integration with S/4HANA, BTP, Datasphere, BW, and external data sources
Ensure data quality, security, and compliance standards are met
Provide technical leadership, solution architecture guidance, and best practices
Define context, metadata and semantic models, set up knowledge graphs; and design and implement primary, derived, standard and customized data products that leverage common data structures (CDS).
Establish connections from SAP Datasphere / BDC instance to Mars instances of Databricks and Snowflake to provide a seamless experience across operational, advanced and ad hoc analytics.
Build platforms to lower the barriers to entry so more associates can participate, in effect, enabling the adoption of data, analytics and AI services and capabilities.
Engage, negotiate and influence internal stakeholders to establish priorities in line with the highest business impact.
Ensure the key handoffs and interdependencies between Hub, 3rd party firms and business stakeholders to ensure successful value delivery and ability to scale.
Define solutions for Mars business processes with clear articulation of business case and ROI.
Identify the capability gaps that are hindering progress and propose solutions to address them.
Responsible for operational excellence and service management across data, analytics and AI services and capabilities
Collaborate with a large network of teams across the enterprise to ensure coordinated and proactive testing and modification before changes or maintenance activities
Manage capacity and utilization of servers and users, establish RBACs, and facilitate access management and credentials to ensure effective data and AI project management.
Design, maintain and oversee governance and control processes in collaboration with Security, Controls, Enterprise Architecture, and Identity teams.
Training, support and consultation for partners, federated users, and key stakeholders
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