SR CONSULTANT, IT STRATEGY CONSULTING - AI/GENERATIVE AI

Description About the role 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.
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 and Transformation Applications, Infrastructure and Security Modernization Sourcing and Spent Optimization The Role.
You will help our clients navigate the complex world of modern AI, data science and analytics.
We'll look to you to provide our clients with a unique business perspective on how data science and analytics can transform and improve their entire organization – starting with key business issues they face.
This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.
Key Responsibilities.
Ability to lead and manage consulting engagements and diverse teams of experts and delivery associates.
Work with clients to identify the business potential of Artificial Intelligence (AI) and establish AI strategies, define and prioritize AI use cases, establish AI governance, and collaborate with client stakeholders to understand technical and business constraints.
Collaborate with clients to establish AI programs and processes for scaling delivery of AI solutions (e.
., MLOPs, ModelOps) Align AI strategies and use cases to required data assets, identify strategies for acquiring data assets (including the potential value of synthetic data), design data pipelines to support data science and AI projects.
Apply various Machine Learning (ML) and analytics techniques to develop classification and prediction models and leverage foundation models to develop generative AI capabilities; integrate client, domain (e.
., finance, sales) and industry knowledge into the solution.
Collaborate with cross-functional teams to identify business problems and design experiments to test hypotheses.
Present findings, insights, and recommendations to both technical and non-technical stakeholders in a clear and concise manner.
Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies.
Requirements.
Bachelor's or Master's degree in a quantitative field such as Computer Science, Data Engineering or related discipline.
Three to six or more years of relevant project experience in successfully launching, planning, executing data science projects.
Preferably in the context of a consulting engagement.
Basic coding knowledge and experience in several languages for example.
R, Python/ Jupyter, SAS, Java, Scala, C++, Excel, MATLAB, etc.
Experience with popular database programming languages including SQL, PL/SQL, others.
Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms.
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.
Basic knowledge and experience 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.
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 stakeholders.
Ability to work independently and collaboratively in a fast-paced and dynamic environment.
Proven track record of delivering high-quality results within deadlines.
Join our team and contribute to our data-driven culture, where your expertise will be valued and your contributions will have a direct impact on our success.
We offer competitive compensation, professional development opportunities, and a supportive work environment that fosters innovation and growth.
#LI-SC2 Who are we?   At Gartner, Inc.
(NYSE.
T), we guide the leaders who shape the world.
Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities.
Since our founding in , we’ve grown to more than associates globally who support ~ 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 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.
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 USD - 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 $ 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 affirmatively seek to advance the principles of equal employment opportunity.
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