Gartner
Sr Consultant, IT Strategy Consulting - AI/Generative AI
Gartner, San Francisco, California, United States, 94199
About the roleGartner'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 TransformationApplications, Infrastructure, and Security ModernizationSourcing and Spend OptimizationThe 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: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.g., MLOps, ModelOps).Align AI strategies and use cases to required data assets, identify strategies for acquiring data assets, 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.g., 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 a consulting context.Basic coding knowledge and experience in several languages such as 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), Microsoft AzureML, IBM Watson Studio, 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.
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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 TransformationApplications, Infrastructure, and Security ModernizationSourcing and Spend OptimizationThe 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: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.g., MLOps, ModelOps).Align AI strategies and use cases to required data assets, identify strategies for acquiring data assets, 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.g., 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 a consulting context.Basic coding knowledge and experience in several languages such as 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), Microsoft AzureML, IBM Watson Studio, 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.
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