Client Principal, Data Analytics and AI

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Presidio

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📦 Logistics

🤖 Artificial Intelligence

💰 Private equity on 2011-05

Consulting • Logistics • Artificial Intelligence

<Presidio> is a global technology services and solutions provider that designs, implements, and manages agile, secure digital platforms for enterprise customers. It helps organizations accelerate digital transformation through cloud migration and management, AI and data engineering, cybersecurity, networking and infrastructure, collaboration, and managed lifecycle services. Presidio also offers procurement, financing and consumption models, industry-specific solutions, and operational support for regulated and public sector clients.

📋 Description

• Lead executive discovery, envisioning, assessments, and workshops • Translate ambiguous business 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 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 and support presales-to-delivery handoff • Document outcomes, assumptions, decisions, estimates, and acceptance criteria • 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

🎯 Requirements

• 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 • ETL/ELT patterns across batch, streaming, and event-driven pipelines; lakehouse and modern warehouse concepts • 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 • Deep expertise in one modern data platform and practical experience in a second; ability to advise across Snowflake, Databricks, and Microsoft Fabric • 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 sound human review, security, IP, and governance practices preferred • Conference participation, published articles, or community contributions on modern data platforms and responsible AI preferred

🏖️ Benefits

• Less than 25% travel • Equal Opportunity Employer • Reasonable accommodations for individuals with disabilities • Diverse and inclusive workplace commitment