Senior Director, Data & Analytics

🔥 15 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

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Presidio

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

🏢 Enterprise

Artificial Intelligence • Cybersecurity • Enterprise

Presidio is a global IT solutions and services firm that designs, implements, and manages agile, secure digital platforms to help enterprise customers accelerate digital transformation. Its offerings include cloud migration and modern platforms, managed services, AI and data analytics (including agentic and private AI), cybersecurity, networking, collaboration, and lifecycle/finops and procurement/consumption financing. Presidio serves regulated and enterprise sectors such as healthcare, media & entertainment, finance, public sector and utilities.

📋 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) • 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 • 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 • 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 • Serve as Presidio Digital's external voice for Data & Analytics — in client conversations, industry forums, and the broader market • 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 • Enable internal teams (Sales, Presales, Delivery) with playbooks, collateral, storytelling, and training • 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 • Build and mentor a high-performing Data & Analytics team — hiring, developing, and retaining top talent across data engineering, data architecture, and analytics engineering

🎯 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 • 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.

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities