C

ConcertAI

AI-powered SaaS for clinical trial analytics

Lead Project Manager - Implementations

Project ManagementUpdated on Nov 10
Full-timePlymouth Meeting, PA, USANo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Business, Healthcare Administration, Information Systems, Engineering, Analytics, or a related field is required.
  • At least 5 years of experience managing enterprise software, healthcare technology, data integration, or analytics implementations is required.
  • Experience leading customer-facing projects involving multiple stakeholders and third-party vendors is required.
  • Strong project management, organizational, and stakeholder management skills are required.
  • Ability to manage multiple concurrent projects and competing priorities is required.
  • Experience with project management tools such as Smartsheet, Jira, Microsoft Project, or similar platforms is required.

Responsibilities

  • Serve as the primary customer-facing leader throughout implementation.
  • Establish trusted relationships with business, operational, compliance, and technical stakeholders.
  • Lead implementation kickoff meetings, governance reviews, executive steering meetings, and status updates.
  • Manage customer expectations regarding scope, timeline, dependencies, and deliverables.
  • Act as the primary escalation point for implementation-related issues.
  • Develop and maintain detailed implementation plans, timelines, milestones, and dependencies.
  • Drive execution of customer onboarding projects from initiation through hypercare.
  • Coordinate activities across Product, Engineering, Data Operations, Compliance, QA, and Customer Success teams.
  • Monitor project health and proactively address risks, issues, and roadblocks.
  • Maintain implementation governance standards and project management best practices.
  • Ensure implementations remain aligned to contractual scope and approved requirements.
  • Manage scope changes and facilitate formal change request processes.
  • Identify and mitigate scope creep risks.
  • Maintain project assumptions, decisions, risks, issues, and dependency logs.
  • Provide impact assessments for requested changes.
  • Lead onboarding and coordination activities with specialty pharmacies, distributors, hubs, data providers, and other third-party partners.
  • Manage vendor timelines, deliverables, dependencies, and testing activities.
  • Facilitate resolution of data acquisition and integration challenges.
  • Coordinate vendor readiness for production deployment.
  • Oversee implementation readiness and testing governance.
  • Coordinate internal QA, system testing, integration testing, and User Acceptance Testing (UAT).
  • Ensure testing milestones and defect resolution targets are achieved.
  • Lead go-live readiness reviews and deployment planning activities.
  • Coordinate production launch activities with customers and internal stakeholders.
  • Lead post-go-live stabilization activities.
  • Monitor implementation success metrics and customer adoption.
  • Facilitate transition to Customer Success and ongoing Operations teams.
  • Ensure successful completion of implementation objectives and project closure activities.

Desired Qualifications

  • Experience within Life Sciences, Pharmaceutical, Healthcare Data, Specialty Pharmacy, Hub Services, or Commercial Analytics environments.
  • Familiarity with healthcare data aggregation, patient services data, claims data, specialty pharmacy data, and related data ecosystems.
  • PMP, Agile, Scrum, or related project management certification.
  • Experience working in regulated healthcare environments.

About the Company

ConcertAI

AI-powered SaaS for clinical trial analytics

ConcertAI uses an AI-powered data analytics SaaS platform to speed up clinical trial data analysis and support cancer research across radiology, hematology, and breast cancer. Its software ingests diverse trial datasets and employs machine learning and analytics techniques to generate actionable insights for randomized, pragmatic, external control, and adaptive trials. The platform is subscription-based, serving healthcare providers, research institutions, and other trial-affiliated organizations. How it differs from competitors: it combines AI-driven trial data analytics with a broad focus on oncology research and real-world data, plus engagement with the global research community to stay aligned with the latest radiology, hematology, and breast cancer advances, aiming to improve trial efficiency and accelerate cancer care. Goal: to improve the efficiency of clinical trials and advance cancer care through AI-enabled insights and scalable SaaS delivery.

Company size
501-1,000
Company stage
Series C
Total funding
$300M
Headquarters
Cambridge, MA
Founded
2017

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