The Role

Presidio Digital is seeking a Director / Senior Director, Data & Analytics to lead and scale our Data & Analytics Practice into a modern, AI-enabled capability that drives real client outcomes. This is a player-coach leadership role: you will set the strategic direction while staying close enough to client engagements and delivery to make it real.

You will operate at the intersection of capability building, client delivery, market growth, and people leadership - shaping how we design, build, and scale data platforms and data products for enterprise clients across industries, while attracting, developing, and inspiring a high-performing team of data professionals. You will partner closely with Sales, Presales, and adjacent Delivery capabilities (Product Engineering and Solution / Product Ownership) to ensure we deliver differentiated, outcome-driven data solutions at speed and at scale.

**Only Eastern or Central Time Zones due to global team interaction**

Why This Role Matters: This role is about building the data foundation that powers AI transformation for our clients. If you want to shape a growing practice, win in the market, and leave fingerprints on the next chapter of what a modern data services organization looks like - this is the role. You are personally passionate about the potential of AI-ready data platforms to transform how enterprises operate and deliver business outcomes, and you bring that conviction to every client conversation, every pursuit, and every interaction with your team.

The right person for this role thrives in a fast-moving, high-energy environment where priorities shift and ambiguity is part of the landscape. The leaders who succeed here lean into that energy - be resilient, composed under pressure, and genuinely energized by complexity and pace. Equally important is a collaborative, partnership-first mindset - this role sits at the intersection of Sales, Pre-sales, Delivery / Engineering, client stakeholders, and vendor partners, and success depends on building trust across all of them. We win together: client wins, practice wins, and business wins reinforce each other, and this leader is expected to champion that win-win-win orientation in every engagement.

Responsibilities Include:

Capability Leadership & Strategy

• 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)
  • AI-enabled data ecosystems built for production-grade analytics and AI workloads
  • AI-enabled data products that deliver governed, reusable, and business-aligned data assets at scale

• Establish standards and best practices across data engineering, modeling, architecture, governance, quality, and lifecycle management
• Shape how the Practice differentiates in the market through offerings, accelerators, and delivery models
• Act as the Practice's executive voice internally - influencing investment decisions, headcount plans, and strategic priorities

Client Delivery Excellence & Data Product Acceleration

• As a client-services organization, delivery is core to our identity. This pillar is not a support function - it is a primary accountability.
  
  • Provide active oversight and quality assurance on key client engagements, ensuring:
    
    • Strong architecture, scalability, and alignment to client business outcomes
    • Consistency in delivery approach, data product thinking, and engineering quality
• Build and scale reusable delivery accelerators, including:
  
  • Ingestion frameworks for batch, real-time, and event-driven pipelines
  • Data quality and observability toolkits
  • Reusable data products: curated datasets, semantic models, and feature-ready datasets
  • Standardized data models and transformation pipelines

• Drive adoption of data-as-a-product principles across client engagements:
  
  • Clear ownership, SLAs, and lifecycle management
  • Discoverability through catalogs and semantic layers aligned to client business domains

• Improve delivery velocity through standardization, reuse, and AI-assisted data engineering practices and AI-enabled accelerators
• Serve as an escalation point and trusted advisor on complex client situations

AI-Enabled Data Foundations

• Drive adoption of AI across the data lifecycle in client engagements, including:
  
  • Data discovery, profiling, and quality automation
  • Metadata management and semantic layer evolution
  • Intelligent pipelines and data observability
• Partner with our Product Engineering Capability to ensure:
  
  • Client data platforms reliably support AI/ML and GenAI use cases
  • Strong architectural alignment between data foundations and application-layer AI capabilities

• Develop reusable patterns for feature engineering, ML-ready datasets, and data pipelines supporting AI-driven use cases in client environments

Market Evangelism & Thought Leadership

• Serve as Presidio Digital's external voice for Data & Analytics - in client conversations, industry forums, and the broader market
• Presidio's marketing and content teams will partner with you to amplify your voice and build your presence at scale
• Develop and drive thought leadership, POVs, and go-to-market narratives on:
  
  • Modern data platforms and cloud-native architectures
  • Data-as-a-product and AI-enabled data ecosystems

• Represent Presidio Digital in:
  
  • Client executive briefings and strategic pursuits
  • Industry events, webinars, and conferences
  • Client workshops and advisory engagements

• Enable internal teams (Sales, Presales, Delivery) with playbooks, collateral, storytelling, and training

Go-To-Market & Sales Partnership

• Partner with Sales and Presales to shape data-led transformation opportunities and support strategic pursuits
• Define and package client-facing service offerings, including:
  
  • Data platform modernization
  • Data foundation for AI
  • Analytics transformation and data product adoption

• Actively contribute to pipeline growth in key accounts through proactive opportunity identification and solution shaping
• Develop proposals, delivery models, and value propositions that are competitive and client-outcome-driven
• Contribute to partner-aligned go-to-market motions in close collaboration with Presidio's Partner Alliance group - including co-sell opportunities, joint account planning, and data-platform-specific partner activations (AWS, Microsoft Azure, Google Cloud, Snowflake, Databricks, Microsoft Fabric)

Talent & Practice Development

• Build and mentor a high-performing Data & Analytics team - hiring, developing, and retaining top talent across data engineering, data architecture, and analytics engineering
• Upskill the team toward modern data platforms, cloud-native architectures, and AI-aware engineering practices
• Foster a culture of ownership, accountability, innovation, and cross-team collaboration
• Establish clear career paths, performance expectations, and a consistent standard of delivery excellence

How This Role Fits in the Organization

The Director / Senior Director, Data & Analytics leads the Data & Analytics Practice within Presidio Digital. The Practice owns the data layer of our clients' AI transformation - ensuring that data is reliable, governed, scalable, and production-ready.

This role works in close partnership with two adjacent practices:

• Product Engineering Practice designs and builds AI-powered client applications that run on top of the data foundation we create
• Cloud Infrastructure Practice manages the cloud infrastructure that the data platforms are deployed on

Together, these practices form Presidio Digital's integrated delivery capability for AI-enabled transformation. The Data & Analytics Practice is the connective tissue - without it, AI applications lack the data quality and reliability to deliver business value.

Required Skills and Professional Experience:

• 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

Technical Expertise:

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

Leadership & Consulting Skills

• 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

Preferred Skills:

• 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

Applications will be accepted on a rolling basis.