Gartner

Sr Consultant - IT Strategy Consulting - AI

Gartner • $113K — $133K *
Sacramento, CA 95823In-Person
Business Services
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 4-7 years of experience in consulting or technology strategy with exposure to AI/data.
  • Strong structured-thinking and problem-solving skills for independent analysis.
  • Solid technical literacy for engagement with both technical teams and business audiences.
  • Hands-on experience building generative AI solutions on core platforms.
  • Excellent storytelling and communication skills, with a familiarity for analytical tools like Excel and Power BI.
  • Bachelor's degree required; advanced degree is an advantage.

Responsibilities

  • Own workstreams within client engagements, managing scope and quality.
  • Conduct primary and secondary research for actionable insights.
  • Build analytical artifacts including assessments and business cases.
  • Distinguish meaningful data in the AI landscape for specific recommendations.
  • Apply fluency in AI use cases across enterprise environments.
  • Create generative AI solutions and prototypes based on client needs.
  • Serve as day-to-day client contact, building rapport with stakeholders.

Benefits

  • Opportunity to lead high-impact consulting engagements.
  • Access to cutting-edge AI technologies and platforms.
  • Collaborative environment with seasoned professionals.
  • Potential for professional growth and leadership development.
  • Contribution to the AI Center of Excellence with innovative frameworks.
Full Job Description
Role Overview

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.

Key Responsibilities

Engagement Delivery
  • 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.

AI Domain Contribution
  • 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.

Technical Delivery
  • 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.

Client Interaction
  • 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.

Team & Capability Support
  • 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.

Required Qualifications
  • 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; advanced degree a plus.

Preferred Qualifications
  • 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).

Job Requisition ID:112999

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About Gartner

Gartner, Inc. is a research and advisory company that provides information, advice, and tools for leaders in IT, finance, HR, customer service and support, legal and compliance, marketing, sales, and supply chain functions. The company operates in more than 100 countries and has over 16,000 employees. Gartner was founded in 1979 and is headquartered in Stamford, Connecticut.
Learn more about Gartner
Size
16,600 employees
Market Cap
$26.4 billion
Industry
Business Services
Net Income
$266.7 million
Founded
1979
5 Year Trend
+14.1%
Revenue
$4 billion
NASDAQ
IT
* Ladders Estimates

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