Responsible for subject matter expertise, project delivery and oversight along with client relationship management.
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.

Requirements

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)
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
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.

Benefits

Competitive salary
Generous paid time off policy
Charity match program
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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

DataAnalyticsAIAutomationMachine LearningGenerative AIProgramming languages (Python, R, Java)Statistical techniquesData mining techniquesData visualization

Soft skills

Problem-solvingCritical thinkingCommunicationPresentationClient relationship management

Certifications

Cloud architect certification (AWS, Azure, Google, IBM)