Senior Director, Data & Analytics

Presidio

. Define and lead the Data & Analytics Practice vision, growth strategy, and multi-year roadmap .

Posted 5/20/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureCloud

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
Act as the Practice's executive voice internally — influencing investment decisions, headcount plans, and strategic priorities
Provide active oversight and quality assurance on key client engagements, ensuring: Strong architecture, scalability, and alignment to client business outcomes
Build and scale reusable delivery accelerators, including: Ingestion frameworks for batch, real-time, and event-driven pipelines
Serve as an escalation point and trusted advisor on complex client situations
Partner with our Product Engineering Capability to ensure: Client data platforms reliably support AI/ML and GenAI use cases
Develop reusable patterns for feature engineering, ML-ready datasets, and data pipelines supporting AI-driven use cases in client environments
Develop and drive thought leadership, POVs, and go-to-market narratives on: Modern data platforms and cloud-native architectures
Represent Presidio Digital in: Client executive briefings and strategic pursuits
Enable internal teams (Sales, Presales, Delivery) with playbooks, collateral, storytelling, and training
Build and mentor a high-performing Data & Analytics team — hiring, developing, and retaining top talent across data engineering, data architecture, and analytics engineering

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) — hands-on roots that inform architectural judgment and the ability to build breadth across platforms and patterns.
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
Strong executive presence and ability to influence senior client stakeholders and internal leadership
Ability to translate ambiguous business needs into structured, deliverable data solutions
Track record of building GTM narratives, service offerings, and client-facing accelerators
Proven ability to operate across strategy, delivery, and commercial growth — balancing all three simultaneously
Exceptional communicator — able to distill complex data and technical concepts into clear, compelling narratives for any audience; equally comfortable presenting to a C-suite executive or a team of data engineers, and skilled at building polished, insight-driven content and presentations that drive decisions
Actively uses AI tools and platforms to accelerate their own work — from research and content creation to analysis and delivery preparation; models AI-first ways of working for the broader team
Experience in a technology consulting, professional services environment is strongly preferred
Relevant platform certifications (Databricks, Snowflake, AWS Data Analytics, Azure Data Engineer) are a plus
Experience in partner co-sell motions with cloud or data platform vendors
Prior experience building or scaling a practice within a consulting or technology services firm.

Benefits

Comp & perks

Paid time off
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata architectureanalytics engineeringmodern data platformslakehouse architecturereal-time data processingdata governancedata qualityfeature engineeringAI/ML workloads

Soft Skills

executive presenceinfluencecommunicationstorytellingmentoringstrategic thinkingproblem-solvingcollaborationleadershipclient engagement

Certifications

Databricks certificationSnowflake certificationAWS Data Analytics certificationAzure Data Engineer certification