Senior Manager, Data Services & Platforms

Role overview

Data architecture and engineering

• Develop and maintain the enterprise data and AI architecture blueprint, aligned with strategy and AI-first principles.
• Standardize data ingestion, transformation, and distribution patterns across source systems and analytical platforms.
• Lead reliable, observable, and testable pipelines on AWS Glue, Step Functions, and S3, and Azure Data Factory.
• Define conceptual, logical, physical, and canonical data models for Finance, Operations, and Customer domains.
• Oversee the SAP BDC semantic-layer proof of concept and guide integration between SAP S/4HANA and enterprise BI platforms.
• Ensure reusable, documented engineering practices and collaborate on metadata, lineage, and data quality.
• Own enterprise Power BI semantic models, including DAX, calculation groups, security, incremental refresh, and Direct Lake.
• Set semantic-model standards, version control, CI/CD promotion, and certified-dataset strategy.

Platform management and leadership

• Own operations and performance for Fabric, Power BI, AWS, Ataccama, and related data and AI platforms.
• Set platform roadmaps and governance for migration, upgrades, consolidation, access, costs, usage, and SLAs.
• Lead CI/CD and repeatable release management for data platform deployments.
• Manage vendor relationships and coordinate infrastructure, cloud, network, and security needs with ITS.
• Govern Fabric capacity and Power BI tenant operations, including workspaces, gateways, deployment pipelines, endorsements, and Copilot enablement.
• Lead, coach, and develop data architects and engineers, setting goals, performance expectations, and growth paths.
• Represent the Data Services & Platform tower in planning forums and advise business partners on platform capabilities.
• Contribute technical input to business cases, RFPs, and statements of work for data platform investments.

Required qualifications and experience

• Post-secondary degree or diploma in data science, computer science, information technology, statistics, mathematics, or a related field.
• At least 8 years of progressive experience in data engineering, data architecture, or data platform management.
• At least 3 years in people leadership with direct reports.
• Demonstrated expertise in AWS (Glue, S3, Redshift, Step Functions) and/or Azure (ADF, Power BI, ADLS) data platforms.
• Familiarity with Ataccama or comparable data governance platforms such as Alation, Collibra, or Informatica.
• Hands-on enterprise data pipeline and integration architecture experience; strong data modelling across operational and analytical contexts.
• Practical Power BI tenant administration, capacity planning, and performance optimization experience.
• Track record driving data platform standardization, DevOps, and release management; strong stakeholder communication skills.
• Expertise in Microsoft Fabric semantic models, including tabular modelling, DAX, calculation groups, security, incremental refresh, Direct Lake, and composite models.
• At least 5 years leading enterprise Power BI development, including semantic models, deployment pipelines, XMLA governance, gateways, and Copilot-enabled analytics.
• Experience defining and enforcing certified-dataset strategy across multiple business domains.
• English proficiency is required for frequent stakeholder communications.

Preferred qualifications

• Experience with SAP integration architectures such as S/4HANA, BW, BDC, or ODP, and semantic-layer design.
• Exposure to BI migration initiatives; understanding of DataOps and MLOps practices and tools.
• Experience in logistics, supply chain, or parcel delivery environments.
• Relevant AWS or Azure cloud certifications, or Microsoft Fabric Analytics Engineer Associate and/or Power BI Data Analyst Associate certification.
• Familiarity with Fabric Data Activator, OneLake shortcuts, cross-cloud mirroring, and BI rationalization programs.

Workplace

• Posting lists working conditions as an office environment.

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