Level

Gartner

Director - IT Strategy Consulting - AI

AI in this role

openaiclaudeanthropicgeminicopilotbedrockvertex-aiazure-openaidatabricks
ragml-ops

Role Overview

Gartner Consulting is seeking a Engagement Manager with deep fluency in artificial intelligence to lead high-impact client engagements at the intersection of strategy, technology, and enterprise transformation. This is a client-facing leadership role responsible for shaping AI strategy, guiding delivery teams, and translating Gartner's research and proprietary methodologies into measurable business outcomes for large enterprise and public-sector clients. The ideal candidate for this role has had hands-on experience successfully deploying AI in enterprise environments and can advise clients on the critical success factors and common pitfalls of complex AI deployments. The Director operates as a trusted advisor to C-suite stakeholders (CIO, CDAO, CTO, CEO) and a driving force behind the growth of Gartner's AI Center of Excellence.

Key Responsibilities:

Client Delivery & Advisory

  • Lead complex AI engagements as engagement manager end-to-end—from opportunity scoping and diligence through solution design, roadmap development, and implementation oversight—ensuring rigor, quality, and on-time delivery.

  • Serve as the primary executive point of contact for clients, building durable relationships with senior stakeholders and acting as a credible authority on enterprise AI adoption.

  • Translate ambiguous business problems into structured, decision-ready recommendations, distinguishing genuine signal from hype in a rapidly evolving AI landscape.

  • Guide clients through technical AI enablement strategy, operating-model design, workflow transformation and use-case prioritization, data-readiness evaluation, architecture, and responsible-AI governance.

  • Pull from prior experience to advise clients with respect to opportunities and risks/constraints/trade-offs in deploying AI at enterprise scale

AI Domain Leadership

  • Maintain hands-on fluency across the modern AI stack: generative AI and LLMs, agentic architectures, RAG, machine learning, MLOps/LLMOps, data platforms, and the leading hyperscaler and vendor ecosystems (Microsoft/Azure OpenAI, Google, AWS, OpenAI, Anthropic, etc.).

  • Provide technical depth of one or more AI-enabled platforms (e.g., Copilot Studio, ServiceNow, Agentforce, Bedrock, Sana, Azure AI Foundry, Google Vertex AI, Gemini Enterprise, OpenAI Enterprise, Claude for Enterprise, Microsoft 365 Copilot, Glean, Moveworks, Writer, Dataiku, DataRobot, Palantir AIP, UiPath, IBM watsonx, Databricks Mosaic AI, Snowflake Cortex) and integration with other enterprise systems 

  • Advise on AI strategy and value realization—linking technology choices to ROI, TCO, risk posture, and change-management implications.

  • Shape AI governance and responsible-AI frameworks, including model risk, data privacy, security, regulatory alignment.

  • Stay ahead of market movements, feeding emerging trends back into Gartner research, IP, and client conversations.

Business Development & Growth

  • Support business development - driving pipeline generation, proposal development, scoping, and closing of AI-focused consulting engagements.

  • Partner with Gartner Consulting partners and account teams to identify and convert opportunities, expanding footprint within existing accounts and opening new logos.

  • Contribute to thought leadership—points of view, workshops, symposium sessions, and reusable accelerators that differentiate Gartner in the market.

Team & Capability Building

  • Lead, mentor, and develop multidisciplinary consulting teams, setting delivery standards and growing internal AI capability.

  • Contribute to the AI Center of Excellence, building case studies, offerings, and repeatable methodologies that scale across regions and industries.

Required Qualifications

  • 10+ years of experience in management consulting, technology strategy, or enterprise transformation, with a substantial and recent focus on AI/data.

  • Demonstrated ability to lead C-level conversations and sell/deliver multimillion-dollar engagements.

  • Depth of experience in one or more industries (i.e., manufacturing, financial services, healthcare, high-tech, professional services, public sector).

  • Strong technical literacy: able to engage credibly with IT leaders and engineers while translating for business executives.

  • Proven track record in AI strategy, data strategy, operating-model design, or large-scale AI/ML implementation.

  • Bachelor's degree required; advanced degree (MBA, MS in CS/Data Science, or equivalent) strongly preferred.

  • Exceptional structured-thinking, executive-communication, and storyline/deck-building skills.

#LI-SC2

Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

Gartner is the world authority on AI

At Gartner, you’ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients’ AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.

It’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.

Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 168,000 USD - 199,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.


The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.

Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com.

Job Requisition ID:113000

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How we rate this

Director - IT Strategy Consulting - AI at Gartner rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RAGML OpsOpenAIClaudeAnthropicGeminiCopilotBedrock

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you monitor a model once it's live, and how do you know it needs retraining?
  3. What are the limits of OpenAI that you've run into, and how did you work around them?
  4. What's a project where you used Claude hands-on?
  5. Walk me through how you've used Anthropic in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: RAG, ML Ops, OpenAI, Claude, and Anthropic. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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