Client Principal, Data Analytics and AI

Presidio • ,

1d • Remote

About The Position

The Client Principal, Digital Data, Analytics and AI lead executive discovery, opportunity strategy, and solution shaping for enterprise data and AI engagements. The role partners with account teams, architects, delivery leaders, and technology partners to turn complex business challenges into compelling, commercially viable solutions and successful delivery mobilization. This role reports to the Managing Client Principal and involves less than 25% travel.

Requirements

• Experience: 15+ years in data, analytics, software engineering, cloud architecture, consulting, or a related field.
• Presales Background: Significant client-facing technical presales experience as an architect, principal consultant, or senior solution leader.
• Delivery Leadership: Customer implementation and technical delivery leadership experience.
• Workshop & Proposal Skills: Proven ability to lead executive workshops, define solutions, write proposals and SOWs, and estimate delivery.
• Data Engineering: ETL/ELT patterns across batch, streaming, and event-driven pipelines; lakehouse and modern warehouse concepts.
• Data Modeling & Modernization: Modeling for operational, analytical, semantic, and AI workloads; database modernization or platform migration experience.
• Analytics & ML: Enterprise BI, semantic modeling, and ML lifecycle/MLOps experience.
• GenAI Fluency: RAG, agents, grounding, evaluation, guardrails, and responsible AI.
• Cloud Breadth: Ability to advise across AWS, Azure, and Google Cloud and select services based on customer needs.
• Governance & Security: Data governance, cataloging, lineage, quality, and security-by-design fluency.
• Commercial Acumen: Working knowledge of scope, schedule, staffing, assumptions, dependencies, risk, margin, and delivery feasibility.

Nice To Haves

• Certifications & Partner Ecosystem: Relevant data platform or cloud certifications and established partner relationships supporting joint go-to-market motions.
• Industry Breadth: Experience adapting data and AI patterns to different industries, regulatory, and operating environments.
• Engineering Background: Software or full-stack engineering experience connecting application and data modernization.
• Reusable IP: Experience building accelerators, assessment methods, reference architectures, or presales tools.
• AI-Assisted Delivery: Experience using AI-assisted engineering and delivery tools with sound human review, security, IP, and governance practices.
• Market Presence: Conference participation, published articles, or community contributions on modern data platforms and responsible AI.

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.

Benefits

• Presidio is committed to hiring the most qualified candidates to join our amazing culture.
• We aim to attract and hire top talent from all backgrounds, including underrepresented and marginalized communities.
• We encourage women, people of color, people with disabilities, and veterans to apply for open roles at Presidio.
• Diversity of skills and thought is a key component to our business success.
• Presidio is committed to working with and providing reasonable accommodations to individuals with disabilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed