Expert Partner - Data & Analytics - IT Strategy Consulting id-12171
About the position
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 is a key focus area where we assist the C-suite in making informed decisions based on how technology can transform their businesses. In today's digital landscape, a consulting firm that is 'born digital'—with the ability to leverage the full power of Gartner's research and insights—holds significant relevance for the most important strategic decisions any business will make.
We deliver value to clients in various areas, including IT Strategy Consulting, Benchmarking, Analytics, and Optimization. This support helps Gartner's clients execute their strategic priorities across all sectors, including Digital Growth and Transformation, Applications, Infrastructure and Security Modernization, and Sourcing and Spend Optimization. In this role, you will help our clients navigate the complex world of modern AI, data science, and analytics. We will look to you to provide a unique business perspective on how data science and analytics can transform and improve their entire organization, starting with the 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.
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Responsibilities
- Sell and manage engagements, leading multi-domain teams across geographies to exceed client expectations.
- Work with clients on their most critical Data and Analytics priorities.
- Align data, analytics & AI initiatives to strategic business outcomes and priority use cases.
- Design effective, sustainable data, analytics, and AI programs that include appropriate governance, operating models, and technology architectures.
- Increase decision-making capacity with Data Literacy for their people and Decision Intelligence for their decision models and algorithms.
- Deep experience with Data, Analytics, AI, and Automation Solutions/tools, including understanding of various service providers and tools available in the marketplace.
- Collaborate with clients to establish AI programs and processes for scaling delivery of AI solutions (e.g., MLOPs, ModelOps).
- 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, Statistics, Mathematics, or related discipline.
- 10+ 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 such as R, Python/Jupyter, SAS, Java, Scala, C++, Excel, MATLAB, etc.
- Experience with popular database programming languages including SQL, PL/SQL, and 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), 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.
Benefits
- Competitive compensation
- Professional development opportunities
- Generous PTO
- 401k match up to $7,200 per year
- Opportunity to purchase company stock at a discount
- Annual bonus plan based on company and individual performance or role-based, uncapped sales incentive plan.
