Data & Analytics Delivery Lead
Troy / Sterling Heights / Livonia, MI
(Business-Focused | Azure + Databricks + Power BI | MVP-Driven Delivery)
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Role Summary
We are seeking a highly business-oriented Data & Analytics Delivery Lead to drive the translation of business problems into practical, high-impact data and analytics solutions. This role is accountable for rapidly delivering value through data—prioritizing speed, pragmatism, and measurable outcomes over perfection.
The ideal candidate combines strong technical depth (SQL, Python, data visualization) with exceptional business acumen and change management capability. They will work directly with business stakeholders to identify opportunities, rapidly deliver MVP solutions, and iteratively evolve them into scalable, enterprise-grade data products.
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Key Responsibilities
Business Problem Translation & Value Delivery
• Partner directly with business leaders to understand key challenges, pain points, and opportunities
• Translate ambiguous business problems into clear, actionable data and analytics solutions
• Identify high-value use cases that drive measurable outcomes (cost reduction, revenue growth, operational efficiency)
• Ensure all data initiatives are aligned to business KPIs and decision-making needs
• Act as a thought partner to the business on how to leverage data strategically
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MVP-Driven Delivery & Execution
• Lead rapid delivery of Minimum Viable Products (MVPs) to validate business value quickly
• Emphasize speed to insight over perfection—iterate based on feedback
• Break down complex initiatives into incremental, deliverable components
• Remove bottlenecks and drive execution across teams
• Balance short-term wins with long-term scalability
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Data Solution Development (Hands-On Leadership)
• Design and develop analytical datasets, models, and solutions using:
o SQL (advanced)
o Python / PySpark
o Data visualization tools (Power BI)
• Build prototypes, dashboards, and analytical models to solve real business problems
• Guide and review technical work across data engineers and analysts
• Ensure solutions are both technically sound and business-relevant
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Platform Utilization & Oversight
• Leverage modern data platform capabilities:
o Azure Data Factory (ADF)
o Databricks (Spark, Delta Lake)
o Azure Data Lake (Bronze/Silver/Gold)
o Power BI
• Ensure solutions are aligned with architectural standards while maintaining delivery speed
• Support coexistence and transition from legacy (SSIS/SQL Server) to modern platforms
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Change Management & Adoption
• Lead organizational change related to data and analytics adoption
• Drive user adoption of dashboards, reports, and data products
• Communicate value and impact of data solutions in business terms
• Train and enable business users to leverage data effectively
• Influence stakeholders to adopt new ways of working with data
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Team Leadership & Coordination
• Lead cross-functional delivery across data engineers, analysts, and BI developers
• Foster a culture of accountability, speed, and business focus
• Mentor team members on both technical and business-facing skills
• Align team efforts with business priorities and outcomes
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Required Qualifications
• 6–10+ years of experience in data, analytics, or data engineering roles
• Proven experience translating business problems into data and analytics solutions
• Expert-level SQL skills (complex transformations, performance optimization)
• Strong experience with Python and/or PySpark
• Hands-on experience with data visualization tools (Power BI strongly preferred)
• Strong Power BI (PBI) skills, including advanced DAX
• Experience working with Azure data platforms (ADF, Databricks, ADLS)
• Strong understanding of data modeling and analytics solution design
• Demonstrated experience delivering MVPs and iterative solutions
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Preferred Qualifications
• Experience in ERP-driven or manufacturing environments
• Experience leading data platform migrations (SSIS → Azure/Databricks)
• Familiarity with Medallion architecture (Bronze/Silver/Gold)
• Experience with Agile, product-based, or iterative delivery models
• Exposure to DataOps practices and CI/CD
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Technical Skills
• Advanced SQL (T-SQL / Spark SQL)
• Python / PySpark
• Databricks (Spark, Delta Lake)
• Azure Data Factory (ADF)
• Azure Data Lake Storage (ADLS)
• Power BI (data modeling, visualization, performance tuning)
• Data modeling (dimensional and analytical)
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Leadership & Business Skills
• Strong business acumen with the ability to connect data to outcomes
• Exceptional ability to translate complex business needs into practical data solutions
• Bias for action—focus on delivering value quickly rather than over-engineering
• Strong change management and stakeholder influence skills
• Excellent communication and storytelling with data
• Ability to drive alignment across business and technical teams
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What Success Looks Like
• Rapid delivery of MVP data solutions that demonstrate clear business value
• High adoption of analytics solutions across business teams
• Strong alignment between data initiatives and business priorities
• Measurable impact from data (efficiency gains, improved decision-making, revenue/cost outcomes)
• Effective transition from legacy to modern data platforms without slowing delivery
• A culture of speed, pragmatism, and continuous improvement
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