We are seeking a Project Manager to lead end-to-end delivery of complex initiatives on our US Healthcare Revenue Cycle Management (RCM) platform. This role will manage projects spanning AI/ML, GenAI, Agentic AI, LLMs, autonomous agents, RPA, cloud, microservices, and Big Data pipelines. The ideal candidate will ensure on-time, high-quality, and compliant delivery while coordinating cross-functional teams including product, development, AI/ML, DevOps, QA, and RPA.
Project Planning & Execution:
- Lead project planning, scheduling, and resource allocation for AI-driven RCM initiatives.
- Define project scope, objectives, milestones, and success criteria.
- Develop and maintain project roadmaps, timelines, and delivery plans for multi-phase AI, cloud, and RPA projects.
- Track project progress using Agile/Scrum or Waterfall methodologies, adjusting plans proactively to mitigate risks.
Cross-Functional Coordination:
- Act as primary liaison between business stakeholders, technical teams, and leadership.
- Facilitate collaboration among product, AI/ML, GenAI, LLM Ops, DevOps, RPA, QA, and cloud teams.
- Ensure smooth integration of AI agents, autonomous workflows, microservices, and RPA pipelines into production systems.
Risk, Quality & Compliance Management:
- Identify, track, and mitigate project risks, dependencies, and bottlenecks.
- Ensure project deliverables adhere to HIPAA, SOC 2, GDPR, and internal compliance policies.
- Track quality metrics, defects, and system performance to ensure production-ready solutions.
- Support audit readiness by ensuring proper documentation and adherence to governance standards.
Stakeholder Communication & Reporting:
- Provide regular status updates, dashboards, and reports to senior management and stakeholders.
- Communicate project risks, issues, and mitigation strategies proactively.
- Conduct post-project reviews to capture lessons learned and improve delivery processes.
Team Leadership & Resource Management:
- Guide project teams across development, AI/ML, LLM Ops, RPA, QA, and DevOps.
- Support team performance, mentoring, and resource allocation.
- Promote a culture of continuous improvement, automation-first mindset, and cross-functional collaboration.
AI/Automation Focus:
- Understand and track dependencies of AI/GenAI, Agentic AI, LLM-based agents, autonomous agents, and multi-agent workflows in projects.
- Facilitate RPA integration and ensure AI-driven decisions are auditable and compliant.
- Support AI/ML experimentation pipelines, GenAI deployments, and CI/CD integration for production workflows.
- Bachelor’s or Master’s degree in Computer Science, IT, Healthcare IT, or related field.
- 6–12+ years of experience in project management in technology or healthcare IT.
- Proven experience managing projects in AI/ML, GenAI, LLM Ops, RPA, cloud, microservices, or automation domains.
- Strong knowledge of Agile, Scrum, Kanban, and Waterfall methodologies.
- Experience in US Healthcare / RCM domain preferred, including claims, prior authorization, scheduling, coding, collections, and EDI.
- Familiarity with HIPAA, SOC 2, and GDPR compliance in software delivery projects.
Technical Expertise:
- Cloud platforms: AWS, Azure, GCP
- CI/CD & DevOps pipelines for cloud and AI workloads
- AI/GenAI, LLMs, Agentic AI, autonomous agents, and multi-agent orchestration
- RPA tools: UiPath, Automation Anywhere, Blue Prism
- Microservices & API-based architectures
- Big Data platforms: Snowflake, Spark, Hadoop, EMR, Redshift
Skillset:
- Strong project planning, scheduling, and resource management skills.
- Ability to manage cross-functional and distributed teams.
- Excellent communication, stakeholder management, and negotiation skills.
- Strong understanding of AI/ML, GenAI, LLM, RPA, and autonomous workflows.
- Detail-oriented, compliance-first mindset, with strategic thinking ability.
- Problem-solving skills for complex technology and healthcare workflows.
Strategic Impact:
- Ensure timely, high-quality, and compliant delivery of AI-driven RCM solutions.
- Enable cross-team collaboration and operational efficiency.
- Drive adoption of next-gen AI, autonomous agent, and automation workflows.
- Mitigate risks and ensure audit readiness across all healthcare modules.
- Elevate organization capability in AI/GenAI, Agentic AI, LLM Ops, RPA, and cloud automation.
Kindly Note: At Credence, we uphold the highest standards of integrity in our recruitment process. We do not charge any fees at any stage of the hiring process, and we strictly prohibit any third parties, vendors, or individuals from soliciting money in exchange for job opportunities at Credence.
If you are approached by anyone requesting payment or offering you a position at Credence in exchange for money, do not engage with them. Such actions are fraudulent and not authorized by Credence. Please report any such incidents immediately to our official HR team at [email protected]
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