Research Director, AI and Machine Learning, Gartner and Advisory Research

Gartner - Stamford, CT3.8

30+ days agoFull-timeEstimated: $120,000 - $170,000 a year
EducationSkills
What makes Gartner Research a GREAT fit for you? When you join Gartner Research, you’ll be part of a leading-edge team that values expert insights, bold ideas and intellectual courage. You’ll deliver must-have research through compelling client interactions, and contribute to our double-digit growth by providing our clients worldwide the unbiased insight they need to make the right decisions on their key initiatives. Through constant learning, discovery and collaboration you’ll not only help clients deliver on the promise of digital, you’ll grow your career and the scope of your impact across industries. Our culture demands hard work — and rewards it with exceptional opportunity. If you’re always looking for what’s next in technology, Gartner is looking for you.
What makes Gartner Research a GREAT fit for you?

You are a team player who values expert insights, bold ideas and intellectual courage.
You are always learning and looking to discover what’s next in technology.
You pursue personal excellence through team collaboration and consensus.
If this describes you, Gartner is looking for you! Gartner is an upbeat culture based on collaboration, teamwork, integrity and objectivity that values creativity and innovation. As a Gartner analyst, you’ll not only help clients solve complex challenges and deliver on key initiatives, you’ll grow your career and the scope of your impact across industries. We work hard — and we reward success with exceptional opportunity.

About this role:
This role creates thought leading AI/ML research to our Gartner for Technical Professional clients through published research, conversations with client (Inquiry), stage presentations, teleconferences, and client meetings. It is important that you have a vision for how AI/ML will evolve worldwide and at a regional level.

What you’ll do:
As a Gartner analyst you will meet with clients every day: on the phone, in a video-conference, from the stage at a Gartner event or face-to-face during a sales support visit. In every client interaction analysts help clients solve difficult puzzles that lead to better performance. To support these conversations you will research markets, practices and trends and produce written research for Gartner clients to download and apply.

Conduct research and analysis in specific areas of expertise targeting client’s key initiatives.
Deliver high quality actionable advice through a variety of media.
Write high quality, clear, actionable, advisory research documents.
Remain ahead of the curve on developments and issues within these specified areas as well as applicable adjacent areas.
Respond to client questions, create materials for and deliver to clients in person, via teleconference, video conference or webinar and event presentations
Maintain the Gartner’s industry leadership reputation by responding to press inquiries
Proactively work with the wider sales organization and deliver outstanding sales support in order to retain and grow the business

What you’ll need:
It helps to be obsessed with your topic! Gartner analysts are correctly viewed as THE experts. This means you need to know your markets, vendors, trends, management practices, etc. and be able to see the forest and the trees. Most Gartner analysts have many years of experience and enjoy solving puzzles.

Subject matter expertise in AI/ML, with the ability to demonstrate understanding of the business applications and opportunities in that market. Knowledge of the global landscape, and the competitive interplay between incumbents, emerging providers, disruptors and outsourcers
Deep experience with data modeling and analytics solution stacks
Solid grounding in statistics, probability theory, data modeling, machine learning algorithms and software development techniques and languages used to implement analytics solutions
Foundation in theories underlying machine learning and artificial intelligence techniques
Experience in developing machine learning packages with modern programming languages e.g. Python, R, Scala, Java, MATLAB, C++ etc.
Deep experience with AI/ML platforms
Knowledge of a variety of machine learning techniques clustering, decision tree learning, artificial neural networks, etc. and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts regression, properties of distributions, statistical tests and proper usage, etc. and experience with applications.
Demonstrated superior analytical skills, applying conceptual models, recognizing patterns while drawing and defending conclusions. Strong business and financial acumen as well as analytical skills are required for this position
Articulate and succinct communication skills. Publishing and Speaking engagements an advantage
Minimum of 10 years of experience in a research or technology related role
Bachelor's or equivalent experience, Master's degree preferred
Ability to conduct occasional travel, regionally and globally
Job Requisition ID:G21414

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