Director of Data Management

Role Overview

• Design, deploy, and govern enterprise-grade data models using Microsoft Fabric, Azure Synapse Analytics, and Azure Data Lake Storage.
• Establish and maintain a unified lakehouse architecture that supports real-time and batch processing at enterprise scale.
• Lead the end-to-end development of semantic models, dimensional frameworks, and data pipelines that serve reporting, analytics, and AI workloads.
• Ensure data platform reliability, performance, and cost optimization across Azure environments.
• Oversee the design and deployment of Power Platform solutions (Power BI, Power Apps, Power Automate, Dataverse) that automate core business processes and surface actionable insights.
• Define standards for Power BI report and dashboard development, including row-level security, certified datasets, and deployment pipelines.
• Champion the governance and scalability of citizen development programs within Power Platform, ensuring shadow IT risk is managed through governed pathways.
• Identify and eliminate manual data processes through intelligent automation strategies.
• Lead the integration of AI and machine learning capabilities into the data platform, including Microsoft Copilot, Azure OpenAI Service, and custom ML models deployed via Azure Machine Learning.
• Establish and enforce enterprise data governance policies, including data ownership, stewardship, classification, and lifecycle management.
• Build, lead, and mentor a high-performing data management team, fostering a culture of accountability, innovation, and continuous learning.

Requirements

• Ten (10) or more years of progressive experience in data management, business intelligence, or enterprise data architecture.
• Five (5) or more years in a director-level or senior leadership role with direct people management responsibility.
• Demonstrated experience designing and deploying enterprise data models, semantic layers, and analytical data platforms.
• Proven track record leading data platform initiatives in complex, multi-entity, or post-merger organizational environments.
• Deep expertise in Microsoft Fabric, including OneLake, Lakehouse, Data Warehouse, Data Factory, and Real-Time Analytics workloads.
• Advanced proficiency in Microsoft Azure data services: Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage Gen2, Azure Databricks, and Azure Machine Learning.
• Expert-level Power Platform knowledge across Power BI (including DAX, data modeling, deployment pipelines), Power Apps, Power Automate, and Dataverse.
• Working knowledge of AI and ML integration patterns within the Microsoft ecosystem, including Azure OpenAI Service and Microsoft Copilot extensibility.
• Proficiency in SQL, Python, or equivalent languages for data engineering and transformation workloads.

Tech Stack

• Azure
• Python
• SQL

Benefits

• Full Benefits
• Medical
• Dental
• Vision
• 401K match
• 7 company holidays + generous PTO