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Contract Generative Ai information

What is a contract generative AI?

A Contract Generative AI professional is an expert who works on a contractual basis to develop, implement, or manage generative artificial intelligence solutions for organizations. This role typically involves creating AI models that can generate content, images, text, or other data using advanced machine learning techniques. Contract Generative AI professionals may work on specific projects such as building chatbots, automating content creation, or developing creative AI tools. Their expertise is often sought for temporary assignments, allowing companies to leverage AI capabilities without hiring full-time staff.

What are the key skills and qualifications needed to thrive as a contract generative AI?

To thrive as a Contract Generative AI Specialist, you need a solid background in machine learning, deep learning, and natural language processing, often backed by a degree in computer science or related fields. Experience with frameworks like TensorFlow or PyTorch, proficiency in programming languages such as Python, and familiarity with cloud platforms and model deployment tools are typically required. Strong problem-solving skills, adaptability, and clear communication help professionals excel in dynamic project environments and collaborate with diverse stakeholders. These competencies ensure the effective design, implementation, and delivery of advanced AI solutions that meet client needs and industry standards.

What are some common challenges faced by professionals in a contract generative AI role, and how can they be addressed?

Professionals working in contract Generative AI roles often encounter challenges such as rapidly adapting to new project requirements, integrating with existing client teams, and staying updated with the latest advancements in AI models and tools. Because contract positions may have tight deadlines and shifting priorities, effective communication and proactive project management are essential. Building a strong portfolio, maintaining up-to-date technical skills, and fostering collaborative relationships with client stakeholders can help address these challenges and lead to successful project outcomes.

What is the difference between Contract Generative Ai vs Data Scientist?

AspectContract Generative AiData Scientist
Required CredentialsTypically a background in AI, machine learning, or computer science; certifications in AI tools are commonDegree in data science, statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentProject-based, often freelance or temporary contracts, working with AI models and toolsFull-time or consulting roles within organizations, analyzing data to inform decisions
Employer & Industry UsageTech companies, AI startups, research institutions focusing on AI model deploymentVarious industries including finance, healthcare, tech, and marketing, focusing on data analysis

Contract Generative Ai specialists focus on developing and deploying AI models on a contractual basis, often working with specific projects. Data Scientists analyze data to extract insights, typically in a full-time role. While both roles require technical expertise, Contract Generative Ai professionals are more specialized in AI model creation, whereas Data Scientists focus on data analysis and interpretation.

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Contract Generative Ai jobs near you

Principal Product Manager - Contract Intelligence & AI-Powered Reimbursement Solutions

Ll Oefentherapie

Lincoln, NE • On-site

$150 - $210/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Oracle Health is redefining how healthcare organizations manage, analyze, and operationalize payer-provider contracts through a next-generation Contract Intelligence platform. As healthcare reimbursement models become increasingly complex, health systems need intelligent solutions that transform static contract documents into actionable insights that improve financial performance, operational efficiency, and strategic decision-making.

We are seeking a highly motivated Principal Product Manager to lead product strategy, roadmap, and execution for Oracle Health's Contract Intelligence SaaS product portfolio. This role will drive the development of AI-powered capabilities that help healthcare providers understand, model, manage, and optimise the financial impact of payer contracts across the revenue lifecycle.

The ideal candidate brings deep expertise in healthcare payer-provider contracting, contract management, reimbursement methodologies, managed care operations, revenue cycle management, or healthcare financial performance. They should also possess a strong understanding of emerging AI technologies and how generative AI, machine learning, intelligent agents, and advanced analytics can transform traditionally manual contract management workflows into scalable, intelligent, and predictive solutions.

This is a senior individual contributor role requiring strategic product leadership, strong healthcare domain expertise, and the ability to influence executive stakeholders across a highly matrixed organisation without direct people management responsibility.

Basic Qualifications
  • 8+ years of product management experience delivering enterprise SaaS, healthcare technology, or revenue cycle solutions.
  • Experience defining product strategy, developing roadmaps, writing requirements, and delivering complex products from concept through market adoption.
  • Deep understanding of healthcare payer-provider contracting, managed care operations, contract lifecycle management, reimbursement methodologies, or provider financial operations.
  • Experience working directly with healthcare providers, health systems, payer organisations, managed care teams, consulting firms, or healthcare technology vendors supporting contract management and reimbursement workflows.
  • Experience building or managing AI-enabled, analytics-driven, or data-intensive enterprise software products.
  • Strong understanding of healthcare reimbursement models and their impact on provider revenue performance.
  • Proven ability to influence cross-functional teams and executive stakeholders in highly matrixed organisations.
  • Strong analytical, strategic thinking, communication, and presentation skills.
  • Ability to operate independently, manage ambiguity, and drive alignment across multiple stakeholders.
  • Bachelor's degree in Business, Healthcare Administration, Finance, Economics, Computer Science, Engineering, or related field, or equivalent experience.
Preferred Qualifications
  • Direct experience with healthcare contract management, contract modelling, contract analytics, managed care contracting, or reimbursement optimisation solutions.
  • Experience working for a healthcare provider organisation, integrated delivery network (IDN), health system, payer, managed care organisation, revenue cycle vendor, or healthcare consulting firm.
  • Experience with provider reimbursement methodologies including DRGs, APCs, fee schedules, value-based care arrangements, capitation, bundled payments, and risk-based contracts.
  • Experience building AI-powered enterprise applications leveraging generative AI, machine learning, intelligent agents, large language models (LLMs), or predictive analytics.
  • Familiarity with healthcare financial systems, revenue cycle management platforms, claims adjudication, payment integrity, contract analytics, or reimbursement optimisation tools.
  • Experience with cloud-native platforms, enterprise-scale SaaS architectures, and data platforms.
  • Knowledge of healthcare interoperability standards and data exchange frameworks including FHIR, HL7, APIs, and EDI/X12.
  • Familiarity with healthcare privacy, security, and compliance requirements including HIPAA.
  • MBA, Master's degree, or equivalent advanced experience.
Why Oracle Health

Oracle Health is building the future of healthcare by combining cloud, data, AI, and deep healthcare expertise to solve some of the industry's most complex challenges. Contract Intelligence represents a strategic growth area where AI can fundamentally transform how healthcare organisations manage payer relationships, optimise reimbursement, and improve financial performance.

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