Description:

Job Title: AI Product Manager

Department: AI / RCM Tech

Company Profile:

Credence Global Solutions is a diversified technology-driven financial transformation company with deep expertise in Receivables Management, Healthcare RCM, Technology Platforms, and Contact Center verticals. Credence services leading telecommunication, healthcare, and media companies in the United States.

Healthcare providers serviced by Credence include medical transport providers, emergency physicians, health infusion service providers, and diagnostic laboratories.

Credence Group Companies:

Credence Resource Management, LLC Provides Receivables Management and voice-based BPO services.

Innoval Global Solutions, LLC & Medstat Inc Provide RCM services to healthcare providers.

iValuate Global Technologies Provides technology platforms that enhance productivity and compliance for creditors and healthcare providers.

Headquartered in Dallas, Texas, with delivery offices in San Jose, California; Natchez, Mississippi; Mesa, Arizona; and Pune, India.

Website: www.credencegs.com

Roles & Responsibilities:

AI Strategy & Product Vision:

- Define and execute the AI product roadmap for Healthcare RCM, including predictive analytics, intelligent automation, NLP, LLM-driven features, and AI-powered data agents.

- Collaborate with senior leadership to communicate a clear AI product vision aligned with business objectives.

- Identify opportunities for AI/ML in Billing, Claims Management, and Revenue Cycle Operations.

AI/ML Solution Design & Integration:

- Design end-to-end AI/ML workflows: data ingestion, model training, inference, and integration into operational workflows.

- Lead development of ML models for denial prediction, AR prioritization, coding assistance, and automation of RCM tasks.

- Define prompt engineering guidelines, model evaluation metrics, and improvement loops.

- Work with engineering teams to integrate AI/ML models into backend systems, APIs, and UIs.

Requirement Gathering & Prioritization:

- Collaborate with stakeholders to gather and prioritize AI use cases across RCM functions.

- Conduct feasibility analysis of ML, NLP, and AI automation applications in healthcare.

- Maintain a clear backlog of AI features with defined business and technical priorities.

Collaboration & Execution:

- Lead cross-functional teams (data science, engineering, product, client success, business).

- Facilitate integration of AI products into lab space environments for clinical and operational workflow optimization.

- Oversee agile development cycles, ensuring sprint planning and delivery align with the AI roadmap.

Analytics & Data Responsibilities:

- Work with data engineers to integrate RCM datasets, PMS/EHR systems, and EDI structures.

- Prepare, clean, and analyze data for model training, accuracy testing, and actionable insights.

- Validate model outputs, monitor accuracy, and detect model drift.

AI Governance & Compliance:

- Ensure AI products adhere to HIPAA, PHI, data privacy, and safety standards.

- Define responsible AI guidelines, guardrails, fallback behaviors, and audit logs.

- Establish model monitoring systems to track usage and real-time feedback.

Lab Space Expertise (Advantageous):

- Collaborate with clinical teams and researchers to integrate AI into lab workflows.

- Provide guidance on integrating AI solutions into biological and clinical datasets.

Client Interaction & Adoption:

- Conduct product demos, training, and enablement sessions for internal teams and healthcare clients.

- Collect feedback on AI capabilities and refine the product roadmap.

- Track product performance, adoption metrics, and client satisfaction.

Required Skills and Experience:

- Bachelors/Masters in Computer Science, Data Science, Engineering, or related field.

- 8+ years in product management or AI/ML development; 3+ years in AI-driven products for Healthcare RCM.

- Expertise in predictive analytics, NLP, AI/ML platforms (Azure OpenAI, AWS Bedrock, Hugging Face, OpenAI), and cloud platforms (AWS, Google Cloud, Azure).

- Strong understanding of Healthcare RCM processes: coding, charge entry, EDI, AR, denials, payment management.

- Hands-on experience with PMS/EHR systems, HL7, FHIR, and EDI formats.

- Knowledge of AI product lifecycle management, agile development, and cross-functional team leadership.

- Knowledge of AI governance, ethical AI, and healthcare data privacy/compliance.

Preferred Skills:

- Experience with AI integration in clinical workflows or biomedical research.

- Familiarity with RPA and AI automation in healthcare.

- Experience with AI-based solutions for clinical trials, patient monitoring, and personalized healthcare.

- Certifications in Healthcare IT, RCM, or AI product management.

Soft Skills:

- Strategic thinker aligning AI solutions with business goals.

- Strong analytical, problem-solving, and critical thinking skills.

- Collaborative, adaptable, and able to work across diverse teams.

- Thrives in a fast-paced AI/ML and healthcare ecosystem.