Client Principal, Data Analytics and AI

Presidio, Where Teamwork and Innovation Shape the Future At Presidio, we're at the forefront of a global technology revolution, transforming industries through cutting-edge digital solutions and next-generation AI. We empower businesses - and their internal customers - to achieve more through innovation, automation, and intelligent insights.

The Role

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.

Who You Are

• A Data-First Mind : You start with the client's business and data challenge, ask strong questions, and bring a clear point of view even when the problem is still emerging. • Executive Presence : You build trust with senior leaders, create consensus, and make complex data and AI concepts easy to understand. • Storyteller : You connect architecture and technology choices to outcomes clients can see and measure. • Resilient and Determined : You navigate ambiguity, stay focused, and move difficult opportunities forward. • Builder Mindset : You want to help build a differentiated Data & AI consultancy grounded in client partnership, design thinking, and measurable value.

Responsibilities Include

• 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.