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Architect
TEKsystems
…transition phase as well as the setup of the engagement operating model, help define metrics and support the delivery of defined statements of work.Engagement Leadership: Create the…
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Executive Director, Philanthropy Data Commons
John D. and Catherine T. MacArthur Foundation
At its core, the PDC provides an interoperable data model so information about organizations, grants, and funding flows can be understood across different systems; a consent-based framework…
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ML Engineer
Freed
- Design experiments and evaluation frameworks to measure model quality, reliability, and performance.
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Dir, Quantitative Risk Mgmt Officer - Model Validation
TIAA
Quantitative Risk Mgmt Officer-Model Validation
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Real World Data Lead
Twin Health
We start by building a dynamic model of each person’s metabolism - drawing on thousands of data points from CGMs, smartwatches, and meal logs - that maps their personal path to better…
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Microsoft Architect
SwitchThink Solutions
Model business and system processes through use cases, sequence diagrams, workflow diagrams, data flows, and solution architecture artifacts.
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Chief Procurement Officer, SVP
SSB&T
This is a transformation mandate; an opportunity to modernize a global operating model and establish Procurement as a strategic, insight-led partner to the business. You will simplify…
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ED, Advanced Analytics and Modeling
(FCRS = US014) Novartis Pharmaceuticals Corporation
…Strategy, capability roadmap, portfolio priorities, talent model, and global operating model across Precision Health, Key Drivers & Action Planning Analytics, Integrated Promotion Mix…
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Director, Advanced Analytics & Modeling Key Drivers Analytics (KDA) and CoE Lead
(FCRS = US014) Novartis Pharmaceuticals Corporation
Drive an integrated US-Hyderabad operating model, partnering with Advanced Analytics leadership to align roadmap, capabilities, capacity, and delivery.
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Microsoft Solution Executive
World Wide Technology Holding, LLC
…brings Softchoice’s Microsoft depth into WWT’s engineering-led model, translating the multi-year Microsoft strategy into targeted pipeline, defined programs, and measurable services…
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Sales Manager (Part Time)
Carter's
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HPE Labs - AI/ML Engineer (Technical Lead)
HPE
…practical experience in LLMOps or MLOps, evaluation, and production model lifecycle…
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Senior Vice President, FRS District IT & Corporate Services Business Information Security Officer (BISO)
E Federal Reserve Bank of Richmond
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Senior Vice President, Central Bank Services Business Information Security Officer (BISO)
E Federal Reserve Bank of Richmond
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Product Delivery Manager
Pentair
…integrate with SW delivery practices within a common governance model while preserving fit-for-purpose methods and clear functional accountability. During organizational startup, you will…
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Chief Procurement Officer, SVP
SSB&T
This is a transformation mandate; an opportunity to modernize a global operating model and establish Procurement as a strategic, insight-led partner to the business. You will simplify…
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New College Grad - Manufacturing Development Engineering (MDE) Shift Engineer
Micron Technology
Leverage the Model Based Problem Solving methodology, data analytics, and AI-enabled tools to enhance decision quality and operational productivity.
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Senior Engineering Manager, OCI Object Storage
Oracle
Model best practices and coach team members to drive modern software engineering methodologies.
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Associate Director, Strategic Analytics and Applied AI - Remote
UnitedHealth Group
Provide clear explanations of complex issues, including model behavior, data limitations, uncertainty, operational dependencies, and implications for action
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AI Solutions Analyst
The Mosaic Company
Partner with data and analytics teams to prepare trusted, AI-ready data from enterprise systems and translate model outputs into business-ready insights.
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Managing Director, Head of Investment Mgt Technology
Symetra
…priorities with the investment organization's strategy, operating model, commercial objectives, and future growth…
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Software Engineer
Booz Allen Hamilton
Experience leveraging MLOps platforms and Machine Learning (ML) CI/CD workflows to manage datasets and model training, deployment, and monitoring