Remote Position
[Remote] Client Principal, Data Analytics and AI
🌍 Remote · United States
💼 Full-time
Note: The job is a remote job and is open to candidates in USA. Presidio is a technology solutions company focused on digital solutions, next-generation AI, cloud, cybersecurity, and data-driven transformation. The Client Principal, Digital Data, Analytics and AI leads executive discovery, opportunity strategy, solution shaping, and delivery mobilization for enterprise data and AI engagements.
Responsibilities
- Client Advisory & Opportunity Leadership: Lead executive discovery, envisioning, assessments, and workshops; translate ambiguous problems into prioritized use cases, data products, and measurable outcomes
- Trusted Relationships: Build relationships across business, data, application, security, and cloud teams; partner with account teams on opportunity qualification and account strategy
- Solution Architecture: Define end-to-end architectures across ingestion, integration, storage, transformation, governance, analytics, ML, and GenAI, with depth in modern data platforms
- Proposal, SOW & Commercialization: Create proposals and SOWs with clear scope, assumptions, staffing, estimates, risks, and dependencies
- Solution Quality: Ensure proposed approaches are viable, secure, supportable, outcome-aligned, and ready for delivery
- Modernization Roadmaps: Shape database, data platform, and cloud modernization roadmaps with hyperscaler and technology partners while maintaining a platform-neutral posture
- Delivery Mobilization: Provide architectural leadership through discovery, proof-of-value, pilot, and early implementation; mitigate technical risk
- Presales-to-Delivery Handoff: Document outcomes, assumptions, decisions, estimates, and acceptance criteria for a clean transition to delivery
- AI and GenAI Advisory: Recommend analytics, ML, AI, or GenAI when appropriate, including RAG, agents, grounding, evaluation, and guardrails
- Governance & Security: Data governance, cataloging, lineage, quality, and security-by-design fluency
Skills
- Deep expertise in one modern data platform and practical experience in a second is required
- 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
- Relevant data platform or cloud certifications and established partner relationships supporting joint go-to-market motions
- Experience adapting data and AI patterns to different industries, regulatory, and operating environments
- Software or full-stack engineering experience connecting application and data modernization
- Experience building accelerators, assessment methods, reference architectures, or presales tools
- Experience using AI-assisted engineering and delivery tools with sound human review, security, IP, and governance practices
- Conference participation, published articles, or community contributions on modern data platforms and responsible AI
Company Overview