Project Manager

Credence Global Solutions; Pune District; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Credence Global Solutions in Pune seeks a Project Manager to lead end-to-end delivery of AI-driven RCM initiatives. You will coordinate product, AI/ML, DevOps, QA, and RPA teams to ensure on-time, compliant delivery across multi-phase projects.

The role requires 6–12+ years in technology or healthcare IT with strong Agile/Waterfall experience and familiarity with HIPAA, SOC 2, and GDPR.

Qualifications

• PM with 6–12+ years in tech or healthcare IT.
• Experience leading AI/ML, GenAI, LLM Ops, RPA, cloud projects.
• Strong knowledge of Agile, Scrum, Kanban, and Waterfall.
• Experience in US Healthcare/RCM domain a plus.

Responsibilities

• Lead planning, scheduling, and resources for AI-driven RCM initiatives.
• Coordinate cross-functional teams across product, AI/ML, DevOps, QA, and RPA.
• Track risks, quality, and compliance to HIPAA, SOC 2, GDPR.
• Provide regular status updates and post-project reviews.

Skills

Project management

Agile

Scrum

Kanban

Waterfall

Cross-functional coordination

Stakeholder management

Communication

Risk management

Audit readiness

Education

Bachelor’s or Master’s degree in Computer Science, IT, Healthcare IT, or related field

Tools

AWS

Azure

GCP

CI/CD

DevOps

Snowflake

Spark

Hadoop

EMR

Redshift

UiPath

Automation Anywhere

Blue Prism

Job description

Product Development

Position Overview

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.

Job Roles & Responsibilities

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.

Candidate Requirements

• 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.