Solutions Director
Job Summary
Senior SME in Microsoft Fabric
Key Responsibilities
- Lead
end-to-end implementation
of Microsoft Fabric solutions, including architecture, design, development, and deployment.
- Drive
advanced analytics and AI/ML use cases
, enabling predictive, prescriptive, and real-time analytics across the organization.
- Design and implement
modern data architectures
using Microsoft Fabric (Lakehouse, Warehouse, Data Factory, Real-Time Analytics).
- Leverage
Fabric-native AI capabilities
, including:
- Data science workflows
- Machine learning model development and deployment
- Integration with Azure AI / OpenAI services
- Build and operationalize
AI-powered insights and intelligent dashboards
using Power BI.
- Act as a
trusted advisor
to business and technical stakeholders, aligning data, analytics, and AI strategies with business objectives.
- Integrate and manage data from complex enterprise systems such as:
- SAP S/4HANA
- SuccessFactors
- Ariba
- Concur
- Salesforce
- Define and implement
data governance frameworks
, ensuring data quality, lineage, and compliance.
- Establish and enforce
data security best practices
, including role-based access, data protection, and regulatory compliance.
- Enable
self-service analytics and AI-driven insights
for business users leveraging data agents (Copilot/M365) on top Fabric models/tables .
- Develop and optimize
Power BI dashboards and semantic models
, incorporating advanced analytics features.
- Mentor teams on
data engineering, analytics, and AI best practices
.
- Collaborate with cross-functional teams including data science, engineering, and business stakeholders.
Skill Requirements
- 20+ years of experience in
data engineering, analytics, data science, or enterprise data platforms
.
- Strong hands-on expertise in
Microsoft Fabric
,PBI.
- Proven experience in
Advanced Analytics and AI/ML
, including:
- Drive adoption of
AI-powered Data Agents on Microsoft Fabric
, enabling conversational analytics, automated insights generation, and intelligent data interaction for business users-(Copilot/M365) on top Fabric models/tables .
•
- Predictive modeling, forecasting, and statistical analysis
- Machine learning frameworks and lifecycle (training, validation, deployment)
- Experience with Python/R for data science workloads
- Deep expertise in:
- Power BI (PBI) - advanced data modeling, DAX, AI visuals, performance optimization
- Data governance & security frameworks
- End-to-end data lifecycle management
- Experience leveraging
AI services
(Azure AI, OpenAI, Cognitive Services) within data platforms.
- Strong experience with
enterprise system integrations
, especially:
- SAP S/4HANA
- SAP SuccessFactors
- SAP Ariba
- SAP Concur
- Salesforce
- SAP BW/BPC
- Solid understanding of
modern data architecture patterns
(Lakehouse, Data lake, medallion, data mesh concepts, data shortcuts to minimize duplication of data .
- Experience enabling
self-service BI, analytics, and AI adoption
including conversational AI/BI models
- Excellent
stakeholder management and communication skills
Other Requirements
- Microsoft certifications (Fabric, Azure Data Scientist, Azure Data Engineer, Power BI).
- Experience in
MLOps and model lifecycle management
.
- Experience with
RAG architectures, vector search, and knowledge grounding
within Fabric.
- Knowledge of
Responsible AI, model governance, and ethical AI practices
.
- Familiarity with
real-time analytics and streaming data pipelines
.
- Experience in large-scale
enterprise data & AI transformation programs
Not included in the source posting: about the role, benefits.
Skills
Who can apply
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