Enterprise AI Value Strategy Manager - Snowflake DB

The Practice A Brief Sketch :Technology Strategy & Transformation Practice is a part of Company Strategy and focuses on our clients most strategic priorities. We help clients achieve growth and efficiency through engineering transformation initiatives, aimed at making software delivery powered by AI to bring productivity and quality uplift, resulting in larger enterprise value delivery.You are : An engagement owner for process reinvention. You take a large, complex enterprise process and redesign it as an agentic, AI-first process from as-is diagnosis through agent architecture to realised value and run delivery and the client relationship.The work :Basic Requirements :- Lead discovery workshops with business stakeholders to identify pain points, opportunities, and AI transformation use cases.- Design and articulate end-to-end agentic solution for enterprise process/functional use-cases the agent hierarchy, target-state agentic architecture, value streams, agent interaction models and transformation roadmaps (with technical depth and agentic system build experience in 1 platform or functional area - GCP, AWS, Snowflake, DataBricks, Azure, Anthropic).- Assess enterprise data maturity, governance and technology readiness to shape scalable AI adoption.- Lead solution definition across business, architecture, data, and engineering teams while ensuring end-to-end traceability from business value to implementation.- Develop value framework for Agentic AI with the right industry/client context. Using the framework, build executive business cases including value estimation, investment requirements, KPIs, and benefits realization.- Drive business readiness and change management by defining stakeholder engagement, communication, training, and adoption plans for AI transformation initiatives.Good to Have :- Experience defining enterprise data strategies, data products, and AI-ready data foundations.- Exposure to knowledge architecture, semantic layers, and enterprise knowledge management.- Experience designing AI governance frameworks, operating models, and organizational readiness for AI adoption.- Strong consulting, executive communication, stakeholder management, and problem-structuring skills with experience leading cross-functional delivery teams.Tech fluency :Deep in at least one platform (AWS, Azure, Google Cloud), data platforms (Databricks, Snowflake), or foundation models (e.g., Anthropic, OpenAI) and broadly credible across all three categories. Can shape platform and model choices with a client's tech leadership. Fluent enough in the agentic AI stack to judge where autonomous systems create real value versus hype, and to shape platform and model choices with a client's tech leadership.Role Summary :- Min. 10 yrs overall, incl. AI & data projects.- High-value consulting; large-scale delivery with minimal oversight.- Has led at least one end-to-end process reengineering or reinvention engagement.- Process modelling and requirements definition at enterprise scale.- Manages senior stakeholders.- Awareness of AI governance and regulation (e.g., EU AI Act, model risk).- Structured problem-solving; program management; strong communication.Qualifications & Certifications :- MBA preferred.Whats in it for you ?- An opportunity to work on transformative projects with key G2000 clients.- Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies.- Ability to embed responsible business into everything from how you service your clients to how you operate as a responsible professional.- Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities.- Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. (ref:hirist.tech)