Senior Director, Data & Analytics

Presidio

Director overseeing Data & Analytics Practice at Presidio Digital for AI-driven transformations. Leading client engagements and driving innovative data solutions in a collaborative environment.

Posted 6/26/2026full-timeRemote • California • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloud

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Competitive salary
Flexible working hours
Professional development opportunities
Wellness programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata architecturedata modelingdata governancedata qualitydata lifecycle managementlakehouse architecturestreaming architecturedomain-oriented designAI/ML workload design

Soft Skills

leadershipclient-facing skillsstrategic visionoversightquality assurancetrusted advisorproblem-solvingcommunicationcollaborationscaling practices

Certifications

Bachelor's Degreemilitary experience