Implementation Lead / Manager

15 - 18 years

25 - 40 Lacs

Posted:17 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Title

Position Overview

Key Responsibilities

  • Project Management

    : Lead the planning, execution, and delivery of healthcare analytics projects, defining scope, timelines, and resource allocation.
  • Client Engagement

    : Build and maintain client relationships, conducting discovery sessions and ensuring client needs are met throughout the project lifecycle.
  • Solution Design

    : Collaborate with technical teams to design, customize, and integrate analytics solutions that meet client-specific requirements.
  • Data Integration & Configuration

    : Oversee data mapping, ETL processes, and platform configuration to ensure seamless integration and data accuracy.
  • Training & Support

    : Provide client training, create user guides, and offer ongoing support to ensure successful adoption.
  • Quality Assurance

    : Develop and execute test plans, perform user acceptance testing (UAT), and validate data integrity.
  • Change Management

    : Identify risks, develop strategies for smooth adoption, and facilitate organizational change during implementation.
  • Continuous Improvement

    : Evaluate and enhance implementation processes based on feedback from clients and teams.

Qualifications

  • Bachelor's/Masters degree in Healthcare Administration, Business, Computer Science, or related field.
  • Experience - 15 to 20 years
  • Location: Hyderabad
  • Proven experience managing healthcare analytics or software implementation projects.
  • Strong knowledge of healthcare data (EHR, claims data, clinical systems) and industry regulations.
  • Proficient in project management methodologies (PMP preferred).
  • Excellent client-facing and communication skills.
  • Experience with data integration, ETL processes, and analytics platforms is a plus.
  • Leadership skills with a focus on collaboration and problem-solving.

Key Features

  • Operational Analytics

    : Improve healthcare efficiency through data-driven insights.
  • AI Integration

    : Leverage AI to streamline authorization processes and optimize workflows.

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