Expert Alteryx Consultant leading design and architecture of Alteryx - based data ecosystem in cloud platforms. Driving enterprise - scale Alteryx adoption and shaping data platform capabilities.
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Hybrid Principal Consultant – Application Development, Business Intelligence
Posted 4 months ago
About the role
- Senior AVP - Enterprise Data Analytics and BI responsible for enterprise-wide data capabilities on Microsoft ecosystem. Leading strategic data leadership, solution architecture, and hands-on delivery for trusted insights.
Responsibilities
- Define and execute the Enterprise BI Capability roadmap, driving standardization, automation, and innovation across the analytics ecosystem.
- Establish best practices for data modelling, reporting standardization, and self-service analytics adoption.
- Maintain strong financial governance, managing budgets, resource allocations, and ROI tracking.
- Lead executive briefings and steering committee sessions, communicating progress, risks, and innovation opportunities.
- Drive an innovation culture that embraces experimentation with next-gen BI tools, CoPilot experiences, and AI-assisted analytics.
- Architect and manage scalable, secure BI and data platforms leveraging Microsoft technologies - Azure Synapse, ADLS Gen2, Databricks, and Spark.
- Design end-to-end ETL/ELT frameworks, semantic models, and performance-optimized data layers for analytical consumption.
- Lead integration of MDM and Metadata Management solutions to ensure consistency, governance, and single source of truth across data assets.
- Implement robust data lineage and governance through Microsoft Purview and Fabric-native features.
- Drive reusability and automation through parameterized pipelines, CI/CD deployment patterns, and observability dashboards.
- Lead the BI Reporting & Analytics function, enabling delivery of interactive, self-service dashboards and KPI scorecards across departments.
- Oversee the design and rollout of Power BI, Fabric, and embedded analytics solutions to deliver insights on key business metrics (financial, operational, customer, and risk).
- Partner with business and functional leaders to translate analytical needs into data models, visuals, and insights that inform strategic decision-making.
- Establish a Center of Excellence (CoE) for BI visualization standards, report optimization, and data storytelling.
- Manage enterprise-scale BI programs end-to-end, ensuring predictable delivery, scalability, and measurable outcomes.
Requirements
- 15–18 years of experience in BI, Data Engineering, and Analytics leadership roles.
- Strong hands-on expertise in Azure Synapse Analytics, ADLS Gen2, Databricks, PySpark, Microsoft Fabric, and Power BI/Power Platform.
- Proven track record implementing MDM and Metadata Management frameworks.
- Experience with various data analytics tool, hands on experience is required in BI and data practices
- Reasonable experience of working on data of corporate functions like Finance, HR, Technology, as such
- Deep understanding of data modeling, semantic layer design, KPI frameworks, and performance optimization for BI.
- Experience in enterprise-level BI reporting, dashboard development, and data storytelling for executives.
- Demonstrated ability to engage with CXO-level stakeholders and influence strategy through data insights.
- Strong program management discipline, with a focus on delivery velocity, adoption, and cost efficiency.
- Innovative mindset with a passion for exploring AI-powered analytics and emerging technologies.
Benefits
- health insurance
- retirement plans
- paid time off
- flexible work arrangements
- professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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