Senior Director, Data & Analytics

🔥 9 minutes ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

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Presidio

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤝 B2B

🤖 Artificial Intelligence

🔒 Cybersecurity

💰 Private equity on 2011-05

B2B • Artificial Intelligence • Cybersecurity

<Presidio> is a global technology services and solutions provider that designs, implements, and manages agile, secure digital platforms for enterprise customers. It helps organizations accelerate digital transformation through cloud migration and management, AI and data engineering, cybersecurity, networking and infrastructure, collaboration, and managed lifecycle services. Presidio also offers procurement, financing and consumption models, industry-specific solutions, and operational support for regulated and public sector clients.

📋 Description

• Define and lead the Data & Analytics Practice vision, growth strategy, and multi-year roadmap • Drive evolution from traditional data warehousing to modern data platforms (lakehouse, real-time, domain-oriented architectures) • Establish standards and best practices across data engineering, modeling, architecture, governance, quality, and lifecycle management • Provide active oversight and quality assurance on key client engagements • Build and scale reusable delivery accelerators, including ingestion frameworks for batch, real-time, and event-driven pipelines • Drive adoption of data-as-a-product principles across client engagements • Serve as an escalation point and trusted advisor on complex client situations.

🎯 Requirements

• Bachelor's Degree or equivalent experience and / or military experience • Overall 10+ years in Data & Analytics with progressive leadership experience, including 3+ years in a senior leadership or Practice leadership role • Hands-on experience supporting pre-sales, solution shaping, and client-facing GTM motions • Proven ability to build and scale delivery practices — including accelerators, offerings, standards, and talent • Experience managing or matrixed leadership over teams of data engineers, architects, and analytics engineers • Demonstrated track record of leading data platform modernization and analytics transformation engagements in a client-facing / consulting services environment • Strong foundation in data engineering and modern data architectures (lakehouse, medallion architecture, streaming, domain-oriented design) • Strong command of cloud data platforms: Snowflake, Databricks, Microsoft Fabric, AWS (Redshift, Glue, Lake Formation), or equivalent • Solid understanding of data governance, data quality, metadata management, and data lifecycle management • Familiarity with designing data systems that support AI/ML workloads — feature stores, ML-ready datasets, vector databases • Awareness of AI/GenAI capabilities grounded in data enablement; partnership with AI engineering teams preferred.

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development opportunities • Wellness programs