Enterprise AI Value Strategy - Sr. Manager

Role & responsibilities

L3 (Must Have)
Enterprise AI Strategy / Agentic AI Solutioning / AI Platform Strategy / Agentic Hierarchy and Design / AI and Data Architecture (with technical depth and agentic system build experience in 1 platform or functional area - GCP, AWS, Snowflake, DataBricks, Azure, Anthropic
CxO Advisory / Enterprise Transformation / Business Function Transformation / AI Transformation Roadmaps
Enterprise Data Strategy / Data Products / Semantic Layer / BI Strategy
AI Business Case / Value Realization / AI & Data Roadmap / AI Maturity Assessments
GTM & Origination

L2 (Good to have) -L3 Skills + below
Operating Model & Org Redesign

L1 (Ideal Candidate) -Both L3 & L2 Skills + below
AI Governance / AI Risk & Compliance
 Large Deal Shaping / Alliance & Ecosystem Management

Preferred candidate profile

Basic Requirements
* Shape enterprise AI strategy and advise C-suite stakeholders on AI-led business, technology, and functional transformation.
* Lead executive discovery sessions to identify enterprise AI opportunities and define AI transformation roadmaps, investment priorities, and value realization strategies.
* Define enterprise AI and data architecture, including AI platform strategy, agentic architectures, enterprise data strategy, data products, semantic layer, and target-state AI capabilities. (with technical depth and agentic system build experience in 1 platform or functional area - GCP, AWS, Snowflake, DataBricks, Azure, Anthropic)
* Develop executive business cases, AI maturity assessments, value frameworks, and AI & data roadmaps to accelerate enterprise AI adoption.
* Lead multidisciplinary consulting teams across strategy, architecture, data, engineering, and change management while owning executive relationships and client outcomes.
* Drive practice growth through GTM development, solution innovation, proposal leadership, and AI opportunity origination.