Expert Partner, IT Strategy Consulting, Data & Analytics / AI at Gartner

Sacramento, California, United States -

Full Time

Start Date

Immediate

Expiry Date

08 May, 26

Salary

248000.0

Posted On

07 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data, Analytics, AI, ML, Generative AI, Solution Architecture, Data Governance, MLOps, ModelOps, Management Consulting, Systems Integration, Problem-Solving, Communication, Presentation Skills, Statistical Techniques, Data Visualization, Programming

Industry

Market Research

Description

Who we are: Gartner’s Consulting business is an extension of Gartner’s industry-leading IT Research. From CIOs, to leaders in business and government, we help Gartner clients across enterprises translate insights into transformational actions and achieve their mission-critical priorities. Leveraging the breadth of Gartner’s resources, Consulting is growing rapidly, with unlimited potential to continue expanding our client base. What we do: Technology Strategy Consulting. We help the C-suite make the right decisions based on how technology can transform their businesses. In today’s world, a consulting firm that is “born digital”, (with the ability to directly leverage the full power of Gartner’s research and insights) has relevance to the most important strategic decisions any business will make. We deliver value to clients in areas such as IT Strategy Consulting, Benchmarking, Analytics and Optimization. Typically, this helps Gartner’s clients to execute on their strategic priorities, across all sectors, including: Digital Growth, Transformation & AI Applications, Infrastructure and Security Modernization Sourcing and Spent Optimization What you will do: Our Consulting Expert Partners are responsible for subject matter expertise, project delivery and oversight along with client relationship management. You will work with teams and advise clients at the highest strategic level on both big-picture and tactical matters, focusing on how technology and data enable a wide range of business outcomes. What you will need: Data & Analytics / AI / ML / Generative AI Capabilities such as: Deep experience with Data, Analytics, AI and Automation Solutions / tools including understanding of various service providers and tools available in the marketplace Deep technical / solution architecture experience deconstructing business problems into actions, addressing these with various technologies, specifically AI, ML and GAI. Design effective, sustainable data, analytics and AI programs that include appropriate governance, operating models and technology architectures Collaborate with clients to establish AI programs and processes for scaling delivery of AI solutions (e.g., MLOPs, ModelOps) Management Consulting / Systems Integration experience: Proven track record (10+ years of relevant project experience) in successfully selling, planning, implementing data & analytics projects. Excellent problem-solving skills and ability to think critically to tackle complex business problems. Strong communication and presentation skills, with the ability to convey technical concepts to non-technical C-suite stakeholders. Public Sector industry experience i.e., State & Local Government Requirements: AWS, Azure, Google, IBM or other cloud architect certification Proficiency in programming languages such as Python, R, or Java, and experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Proficiency commercial/open-source data discovery/analysis platforms such as RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics. Proficiency in statistical and data mining techniques such as: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc]. Experience with data visualization tools and techniques to effectively communicate insights and findings. Master’s degree in computer science, Data Science, Information Technology, or equivalent practical experience. What you will get: Competitive salary, generous paid time off policy, charity match program, and more! Medical, Dental & Vision Plans, Parental Leave, Employee Assistance Program (EAP), 401K matching Collaborative, team-oriented culture that embraces diversity Professional development and unlimited growth opportunities Associates are expected to travel to client sites and meetings as required by business needs or specific engagement requirements, ensuring we deliver exceptional service where it matters most. While we value the flexibility of our hybrid work environment, in-person collaboration with clients and teams is an essential part of how we work and grow together. #LI-PP6 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 21,000 associates globally who support ~14,000 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. 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 188,000 USD - 248,000 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:107371 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. At Gartner, we guide the leaders who shape the world. About 14,000 client enterprises worldwide rely on Gartner for actionable, objective business and technology insights. Our teams of thinkers and doers know that staying curious is the best way to shape the future, for ourselves and our clients. Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. 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.

Responsibilities

Consulting Expert Partners are responsible for subject matter expertise, project delivery, and client relationship management. They advise clients at the highest strategic level on how technology and data enable various business outcomes.