• Bachelor’s Degree in a related field with 10 years of relevant work experience OR 14 years total relevant work experience.
• Holds deep technical mastery and business knowledge across multiple technology domains.
• Strategic thinking and analytical skills with demonstrated ability to combine broad technical, business, clinical and political factors.
• Has a broad background implementing different architectures to meet differing needs.
• Strong written and verbal communication skills and possesses good presentation skills.
• Demonstrated ability to direct the implementation of diverse technologies in a complex organization.
• Diplomacy and interpersonal skills to lead others to provide inputs for the purpose of sharing with customers, partners, and higher management on vision and need for key technologies.
• Demonstrated experiences innovating beyond the state of the art.
• Maximizing technical efficiency and setting technical direction.

MUST HAVES:

• Understand the workflow and pipeline architectures of ML and deep learning workloads. An in-depth knowledge of components and architectural trade-offs involved in data management, governance, model building, deployment and production workflows of AI.
• Demonstrates a good understanding of product management, agile principles and development methodologies
• Translates business and technical requirements into an architectural blueprint to achieve business objectives; documents all AI solution architecture design and analysis work
• Supports the development and delivery of data strategy for AI solution training, testing and deployment
• Creates architectural designs to guide and contextualize AI solution development across products, services, projects and systems, including applications, technologies, processes and information
• Leads evaluation, design and analysis for the implementation of an AI solutions architecture across a group of specific business applications or technologies, based on enterprise business strategies, business capabilities, value streams, business requirements and enterprise standards.
• Develops data management strategies for AI model development, training and deployment
• Articulates the business impact of AI solutions that translate technical performance into business success metrics
• Deliver presentation skills to relevant stakeholders and technical audiences
• Demonstrates a broad background implementing different architectures to meet differing needs.
• Experience in software development and coding in various languages (C#, .NET, Java etc.)

PREFERRED:

• Healthcare IT experience preferred.
• Has a Healthcare Payers knowledge of business and processes
• Deliver presentations to senior-level executives
• Experience with such AI techniques as natural-language processing (NLP); computer vision; deep learning tools, such as PyTorch, TensorFlow and AI/ML; libraries, such as GitHub and Hugging Face

Licensure, Certifications, and Clearances:
N/A

UPMC is an Equal Opportunity Employer/Disability/Veteran