Data & AI Manager
Offre en anglaisLead enterprise-scale Data & AI transformation initiatives and oversee the implementation of Microsoft Fabric and modern data architectures. Bridge the gap between business strategy and technical execution to deliver scalable cloud-based analytics platforms.
- Télétravail
- Canada
- Publié 26 mai 2026
- 1 poste
Résumé du poste
Tools / Tech: Microsoft Fabric (OneLake, Power BI, Data Factory, Synapse, Real-Time Analytics), Azure Data Services About the Team & Impact You will lead enterprise Data & AI transformation initiatives, helping deliver scalable, cloud-based analytics platforms. This role bridges business and technology to drive measurable outcomes using Microsoft Fabric and modern data architecture. Responsibilities Lead end-to-end delivery of Data & AI programs across planning, execution, and governance Build relationships with executives and key stakeholders to align on outcomes Translate technical solutions into business value and strategy Drive program governance including scope, risks, and dependencies Oversee Microsoft Fabric implementations and data platform modernization Coordinate cross-functional teams (engineering, analytics, AI) Facilitate executive steering committees and decision forums Develop adoption and change management strategies Monitor delivery performance using KPIs, dashboards, and reporting Support business development and client engagement activities Must-Have Qualifications Skill Years of Experience Level of Experience Details / Examples Data & AI Program Management 8+ years Expert Led enterprise-scale transformation programs end-to-end Microsoft Fabric 3+ years Advanced Experience with OneLake, Power BI, Synapse, Data Factory Azure Data Services 5+ years Advanced Cloud-native data architecture, pipelines, and analytics Stakeholder Management 8+ years Expert Executive-level communication and governance Data Platform Modernization 5+ years Advanced Migrating legacy systems to cloud/lakehouse models Agile Delivery 5+ years Advanced Program delivery in Agile/Scaled Agile environments Governance & Risk Management 5+ years Advanced RAID logs, executive reporting, program controls Nice-to-Have Skill Years of Experience Level of Experience Details / Examples AI/ML Enablement 3+ years Intermediate Aligning data readiness with AI use cases Data Architecture (Lakehouse/Data Mesh) 3+ years Intermediate Modern data design patterns Power BI 3+ years Advanced Enterprise reporting and dashboards Certifications — — Azure, Fabric, PMP, Scrum Master Consulting Experience 5+ years Advanced Client-facing delivery in large engagements Preferred Certifications Microsoft Certified: Fabric Analytics Engineer Associate Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Azure Solutions Architect Expert PMP, Scrum Master, or equivalent delivery certifications
Ce que vous ferez
Lead enterprise-scale Data & AI transformation initiatives and oversee the implementation of Microsoft Fabric and modern data architectures. Bridge the gap between business strategy and technical execution to deliver scalable cloud-based analytics platforms.
Exigences
Requires over 8 years of experience in Data & AI program management and stakeholder engagement, with advanced expertise in Microsoft Fabric and Azure Data Services. Candidates should have a strong background in Agile delivery and data platform modernization.
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Data & AI Program Management
- Microsoft Fabric
- Azure Data Services
- Stakeholder Management
- Data Platform Modernization
- Agile Delivery
- Governance & Risk Management
- AI/ML Enablement
- Data Architecture
- Power BI
- Cloud-native Data Architecture
- Change Management
Domaines d’emploi
- Data & Analytics
- Technology
- Management & Leadership
- Consulting
- Software
Renseignements supplémentaires
- Formation minimale
- Diplôme professionnel
- Expérience minimale
- 10+ ans
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Exigences de lieu
- Country, Canada