Sr Consultant - IT Strategy Consulting - AI

Gartner•Sacramento, CA

7d•$113,000 - $133,000•Hybrid

About The Position

Gartner Consulting is seeking a Senior Consultant with strong fluency in artificial intelligence to serve as a core delivery leader on high-impact client engagements. Sitting between Consultant and Engagement Manager levels, this role blends hands-on analytical work with emerging workstream leadership—owning discrete pieces of an engagement, guiding junior consultants, and translating Gartner's research and methodologies into practical, decision-ready client outcomes. The Senior Consultant is a rising trusted advisor who can hold their own in front of senior client stakeholders while driving the day-to-day delivery that makes engagements successful. The ideal candidate for this role has hands-on experience developing and deploying AI solutions in a consulting context.

Requirements

4–7 years of experience in management consulting, technology strategy, data/analytics, or enterprise transformation, with meaningful recent exposure to AI/data.
Strong structured-thinking and problem-solving skills, with the ability to own analysis independently.
Solid technical literacy—able to engage credibly with technical teams while communicating clearly to business audiences.
Hands-on experience building generative AI solutions and/or agents using one or more core AI platforms (e.g., Amazon Bedrock, Copilot Studio, Azure AI Foundry, Google Vertex AI, OpenAI Enterprise, Claude for Enterprise).
Excellent storytelling, analytical modeling (Excel/Power BI), and written/verbal communication skills. Ability to develop bespoke interactive dashboards/tools is a plus.
Bachelor's degree required

Nice To Haves

Experience delivering AI strategy, data strategy, or AI/ML implementation workstreams.
Exposure to agentic AI, LLMOps, or enterprise data platforms (e.g., Microsoft Fabric, Databricks, Snowflake, etc. ) is a plus.
Familiarity with Gartner research, frameworks, and methodologies.
Experience across multiple industries (financial services, high-tech, professional services, public sector).
advanced degree a plus.

Responsibilities

Own one or more workstreams within a broader engagement—managing scope, timeline, analysis, and quality with limited oversight.
Conduct primary and secondary research: client interviews, workshops, data collection, benchmarking, and synthesis into clear insights.
Build the core analytical and storyline artifacts: maturity assessments, current-state diagnostics, agentic process reinvention, use-case prioritization matrices, roadmaps, and business cases.
Distinguish signal from noise in a fast-moving AI landscape, ensuring recommendations are tangible, specific, and grounded in client context.
Apply working fluency across the modern AI stack and it’s place in an enterprise environment: understanding function-specific enterprise use cases for AI, and the implications to enable them across the organization (business requirements, IT implications, governance/operational).
Technical knowledge of one or more AI-enabled platforms (e.g., Copilot Studio)
Support AI strategy, operating-model design, data-readiness, and responsible-AI governance workstreams with credible technical depth.
Connect AI solution choices to business value, cost, risk, and change-management considerations.
Contribute to reusable accelerators and IP (e.g., AI Clinic/Lab tools, frameworks, templates) for the AI Center of Excellence.
Build and configure generative AI solutions and/or agents using one or more core AI platforms (e.g., Amazon Bedrock, Copilot Studio, Azure AI Foundry, Google Vertex AI, OpenAI Enterprise, Claude for Enterprise), including prompt design, workflow orchestration, knowledge grounding, testing, and deployment support.
Translate business and functional requirements into working AI-enabled prototypes, solution components, and implementation-ready recommendations that can be evaluated with client stakeholders and technical teams.
Serve as a day-to-day client contact for assigned workstreams, building credibility with mid- to senior-level stakeholders.
Facilitate workshops and working sessions, capturing outcomes and translating them into next steps.
Communicate findings crisply through executive-quality decks, models, and written summaries.
Guide and coach junior consultants and analysts, reviewing work products and modeling delivery standards.
Contribute to proposals, scoping, and thought leadership as a subject-matter contributor.
Help scale the AI Center of Excellence through case studies, offerings, and repeatable methods.