
1001 - 5000 employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
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.
🔥 3 minutes ago
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1001 - 5000 employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
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.
• Lead executive discovery, envisioning, assessments, and workshops • Translate ambiguous client problems into prioritized use cases, data products, and measurable outcomes • Build relationships across business, data, application, security, and cloud teams • Partner with account teams on opportunity qualification and account strategy • Define end-to-end architectures across ingestion, integration, storage, transformation, governance, analytics, ML, and GenAI • Create proposals and SOWs with clear scope, assumptions, staffing, estimates, risks, and dependencies • Ensure proposed approaches are viable, secure, supportable, outcome-aligned, and ready for delivery • Shape database, data platform, and cloud modernization roadmaps with hyperscaler and technology partners • Provide architectural leadership through discovery, proof-of-value, pilot, and early implementation • Mitigate technical risk • Document outcomes, assumptions, decisions, estimates, and acceptance criteria for presales-to-delivery handoff • Recommend analytics, ML, AI, or GenAI solutions, including RAG, agents, grounding, evaluation, and guardrails • Apply data governance, cataloging, lineage, quality, and security-by-design practices • Partner with account teams, architects, delivery leaders, and technology partners to develop commercially viable solutions and mobilize successful delivery • Report to the Managing Client Principal
• 15+ years in data, analytics, software engineering, cloud architecture, consulting, or a related field • Significant client-facing technical presales experience as an architect, principal consultant, or senior solution leader • Customer implementation and technical delivery leadership experience • Proven ability to lead executive workshops, define solutions, write proposals and SOWs, and estimate delivery • Deep expertise in one modern data platform and practical experience in a second • Ability to advise across Snowflake, Databricks, and Microsoft Fabric • ETL/ELT patterns across batch, streaming, and event-driven pipelines • Lakehouse and modern warehouse concepts • Data modeling for operational, analytical, semantic, and AI workloads • Database modernization or platform migration experience • Enterprise BI, semantic modeling, and ML lifecycle/MLOps experience • RAG, agents, grounding, evaluation, guardrails, and responsible AI • Ability to advise across AWS, Azure, and Google Cloud and select services based on customer needs • Data governance, cataloging, lineage, quality, and security-by-design fluency • Working knowledge of scope, schedule, staffing, assumptions, dependencies, risk, margin, and delivery feasibility • Relevant data platform or cloud certifications and established partner relationships supporting joint go-to-market motions preferred • Experience adapting data and AI patterns to different industries, regulatory, and operating environments preferred • Software or full-stack engineering experience preferred • Experience building accelerators, assessment methods, reference architectures, or presales tools preferred • Experience using AI-assisted engineering and delivery tools with human review, security, IP, and governance practices preferred • Conference participation, published articles, or community contributions on modern data platforms and responsible AI preferred
• Less than 25% travel • Equal Opportunity Employer • Reasonable accommodations for individuals with disabilities • Priority referrals for protected veterans • Global technology and innovation-focused work environment • Opportunities to work with Generative AI, cloud solutions, cybersecurity, digital transformation, and next-generation infrastructure
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