Client Principal, Data Analytics and AI

Presidio

. Lead executive discovery, envisioning, assessments, and workshops .

Posted 9/29/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in data architecture, analytics, and cloud solutions, with a strong focus on client engagement and technical delivery leadership. Proficient in developing end-to-end data strategies, governance practices, and modern data platform implementations across various cloud environments.

Highest-signal resume keywords

Data Architecture LeadershipClient-Facing Technical Presales ExperienceExpertise in Snowflake, Databricks, and Microsoft FabricData Governance and Quality PracticesCloud Platform Certifications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingETL/ELT PatternsLakehouse ConceptsModern Data PlatformsML Lifecycle/MLOpsDatabase ModernizationCloud ArchitectureAnalytics SolutionsAI and GenAI SolutionsTechnical Delivery Leadership

Soft Skills

Relationship BuildingProposal WritingWorkshop FacilitationRisk MitigationCollaboration

Tools & Technologies

AWSAzureGoogle CloudSnowflakeDatabricksMicrosoft FabricAI-Assisted Engineering ToolsData Governance ToolsPresales ToolsReference Architectures

Certifications & Qualifications

Relevant Data Platform CertificationsCloud Certifications

Industry Keywords

Data GovernanceAnalyticsCloud ModernizationTechnical ConsultingPresales Engineering

Tech Stack

Tools & technologies

AWSAzureCloudETL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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