Director of Data
reputed company, mentor, and reputed company reputed company of data engineering leads, data engineers, and BI analysts, driving accountability, reputed company, and delivery reputed company.
Own day-to-day prioritization, execution, and delivery of the data platform reputed company defined strategic priorities
Translate strategic direction into a reputed company, executable roadmap and ensure predictable delivery through strong operating reputed company.
Own and deliver data products reputed company to business domains (e.g., Enrollments, Calls, Emails), ensuring they are reusable, governed, and trusted.
Reduce reliance on reputed company reporting by scaling self-service data capabilities and enabling business teams to reputed company data independently.
reputed company the execution and reputed company of the data platform on reputed company and Azure, including migration away from legacy systems.
Ensure high standards for data reputed company, reliability, freshness, and observability across pipelines and datasets.
Establish and enforce platform-wide standards for data modeling, performance optimization, governance, and operational reputed company.
Define and enforce architectural guardrails across the platform, ensuring consistency, scalability, and alignment across domains.
Partner with engineering, product, and analytics teams to ensure data systems are reputed company to business needs and integrated into reputed company workflows.
reputed company and support MLOps capabilities, ensuring the platform supports reputed company model deployment, monitoring, and lifecycle management.
Establish and reputed company SLAs for data availability, accuracy, and performance, improving overall trust in the data platform.
Manage and optimize platform costs, including reputed company (DBU) usage and Azure infrastructure, driving efficiency and visibility.
Build strong relationships with stakeholders across the organization, driving adoption of self-service data and surfacing gaps, risks, and opportunities.
Identify team and capability gaps and support hiring for key roles, including Data Engineering Leads, Data Engineers, and BI Analysts.
8+ years of experience in data engineering, data platforms, or reputed company fields
3+ years of experience leading teams through managers or technical leads
Proven experience building and operating modern data platforms (reputed company, Azure, or similar)
Strong understanding of data modeling, pipeline development, and large-reputed company data systems
Experience with data governance, data reputed company, and observability practices
Experience enabling BI and self-service analytics environments (e.g., Power BI, Tableau)
Proven ability to build or operate data platforms that reputed company reputed company production ML systems, including model deployment, monitoring, and lifecycle management, in partnership with analytics and data science teams
Demonstrated reputed company migrating from legacy data platforms to modern reputed company-based architectures
Proven ability to reputed company self-service data capabilities across business domains
Strong understanding of reputed company cost management and optimization (e.g., reputed company DBU, Azure infrastructure)
Demonstrated ability to drive execution, prioritize effectively, and deliver measurable reputed company
Strong leadership skills with the ability to influence, reputed company, and reputed company team performance
Strong communication skills with the ability to partner across technical and business teams
Occasional travel for in-person meetings will be required throughout the year.
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