Director of Data Management [Remote]

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director of Data Management in the United States.

This is a senior technical leadership role responsible for defining and scaling the enterprise data ecosystem that powers analytics, automation, and AI-driven decision-making. You will lead the design of a unified, modern data platform built on Microsoft technologies, ensuring it is scalable, secure, and AI-ready. The role sits at the intersection of data architecture, governance, and business strategy, requiring close collaboration with executive leadership and cross-functional IT and business teams. You will be accountable for transforming complex, fragmented data environments into a single source of truth that supports operational and strategic decision-making. In addition to platform ownership, you will lead initiatives in Power Platform, AI integration, and enterprise data governance. This role is ideal for a hands-on leader who thrives in complex, high-growth, and transformation-driven environments.

Accountabilities:

• Lead the design, development, and governance of the enterprise data platform using Microsoft Fabric, Azure Synapse, and Azure Data Lake, ensuring scalability and performance.
• Build and maintain a unified lakehouse architecture supporting real-time and batch analytics, reporting, and AI workloads.
• Develop and implement enterprise semantic models, dimensional data structures, and end-to-end data pipelines across business domains.
• Oversee Power Platform strategy (Power BI, Power Apps, Power Automate, Dataverse), including governance, reporting standards, and automation initiatives.
• Drive AI and machine learning integration across the data ecosystem using Azure Machine Learning, Microsoft Copilot, and Azure OpenAI services.
• Establish enterprise data governance frameworks, including data quality, lineage, classification, stewardship, and lifecycle management.
• Implement and manage data cataloging and governance tools (e.g., Microsoft Purview), ensuring compliance and audit readiness.
• Define and monitor data quality KPIs, ensuring accuracy, consistency, and reliability across all enterprise systems.
• Lead systems integration efforts across ERP, PSA, and financial planning tools, ensuring seamless data flows and consistency across platforms.
• Partner with executive leadership and business units to translate strategic needs into scalable data solutions and roadmaps.
• Build, lead, and mentor a high-performing data management team, fostering capability development and operational excellence.
• Manage vendor relationships, budgets, and external contractors as part of enterprise data operations.

Requirements:

• 10+ years of experience in data management, business intelligence, or enterprise data architecture.
• 5+ years of senior leadership experience with direct people management responsibility.
• Strong hands-on expertise with Microsoft Fabric, Azure data services (Synapse, Data Factory, Data Lake, Databricks), and Power BI.
• Proven experience designing enterprise-scale data platforms, semantic models, and analytics solutions in complex environments.
• Deep knowledge of data engineering practices, including SQL, Python, ETL/ELT pipelines, and API-based integrations.
• Experience implementing data governance frameworks and tools such as Microsoft Purview or equivalent platforms.
• Strong understanding of AI/ML integration within enterprise data ecosystems, including Azure OpenAI and machine learning models.
• Experience integrating ERP systems (e.g., Microsoft Business Central) and PSA or enterprise tools into unified data environments.
• Strong executive communication and stakeholder management skills, with the ability to influence C-level leadership.
• Background in complex, multi-entity, or post-merger environments with distributed data systems.
• Relevant Microsoft certifications (e.g., Azure Data Engineer Associate, Fabric Analytics Engineer Associate) preferred.
• Experience in managed services or IT services environments is a plus.

Benefits:

• Competitive salary range of $150,000–$175,000 USD annually
• Comprehensive health, dental, and vision insurance
• 401(k) retirement plan
• Paid time off and generous holiday policies
• Remote-first work environment with flexibility
• Opportunity to lead enterprise-wide data transformation and AI initiatives
• Professional growth in a high-impact, innovation-driven organization
• Exposure to cutting-edge Microsoft data and AI technologies
• Collaborative, people-first culture focused on continuous learning and development.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.