Senior Manager, Data Services & Platforms

Role overview

Data architecture and engineering

• Maintain the enterprise data and AI architecture blueprint and standardize ingestion, transformation, and distribution patterns.
• Lead reliable, observable, testable data pipelines on AWS Glue, Step Functions, S3, and Azure Data Factory.
• Set conceptual, logical, physical, and canonical data-modelling standards for Finance, Operations, and Customer domains.
• Guide SAP BDC semantic-layer work and integration architecture between SAP S/4HANA and enterprise analytics platforms.
• Align reusable, documented engineering practices with the governed Data Product lifecycle and data-governance requirements.
• Own enterprise Power BI semantic models, DAX standards, version control, CI/CD promotion, and certified-dataset strategy.

Platform management

• Own operational health and performance of Azure Fabric and Power BI, AWS services, Ataccama modules, and related tools.
• Set roadmaps for platform migrations, upgrades, and consolidation; establish access, cost, monitoring, and SLA governance.
• Lead DevOps and CI/CD implementation and repeatable data-platform release management.
• Govern Fabric capacity, Power BI tenant workspaces, gateways, deployment pipelines, endorsements, and Copilot enablement.
• Rationalize dataflows and datamarts as part of a Fabric-first target state, Qlik Exit, and legacy BI modernization.
• Manage vendor relationships and coordinate infrastructure, cloud provisioning, network, and security needs with ITS.

Leadership and collaboration

• Lead, coach, and develop the team; set goals and performance expectations and build capability in cloud data engineering and platform operations.
• Promote standardization, documentation, and engineering excellence; collaborate with Delivery Management, Governance, and Analytics teams.
• Act as technical liaison with ITS, represent the tower in steering and portfolio forums, and support Finance, Operations, and other partners.
• Contribute technical input to business cases, RFPs, and statements of work for platform investments.

Required qualifications

• Post-secondary degree or diploma in a related field such as Data Science, Computer Science, IT, Statistics, or Mathematics.
• At least eight years of progressive data engineering, architecture, or platform-management experience and three years leading people with direct reports.
• Expertise in AWS and/or Azure data platforms; familiarity with Ataccama or similar governance platforms.
• Hands-on enterprise data-pipeline and integration-architecture experience; strong conceptual, logical, and physical data-modelling background.
• Power BI tenant administration, capacity planning, and performance-optimization experience; record of platform standardization, DevOps, and release management.
• Strong stakeholder communication; expertise in Fabric semantic models, enterprise DAX, security, Direct Lake, and related capabilities.
• At least five years leading enterprise Power BI development and experience enforcing a certified-dataset strategy across business domains.

Preferred qualifications

• SAP integration architecture and semantic-layer experience, including S/4HANA, BW, BDC, or ODP; exposure to BI migrations.
• Understanding of DataOps and MLOps; experience in logistics, supply chain, or parcel delivery.
• Relevant AWS or Azure certifications; Microsoft Fabric Analytics Engineer Associate (DP-600) and/or Power BI Data Analyst Associate (PL-300).
• Familiarity with Ataccama, Fabric Data Activator, OneLake shortcuts, cross-cloud mirroring, or BI rationalization programs.

Workplace and language

• Posting lists an office environment and a corporate location.
• English proficiency is required because the role involves frequent stakeholder communications in English.

Additional role facts