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Data Team Lead (DTL)

IQVIA
Thane, Bengaluru, Kochi, India
Hybrid

About this role

Job title: Data Team Lead (DTL)

About the Role

Manage end-to-end delivery of data management services for single/multi-service projects with minimal guidance, ensuring quality deliverables on time and within budget, to customer satisfaction. Provide leadership to the Data Management team in project planning, execution, and close-out, and oversee financial management for data management activities and milestones. Perform role of Data Team Lead (DTL).

What You'll Do

  • Gather Study Setup requirements through discussion with relevant stakeholders.
  • Support validation of new device integrations with minimal guidance.
  • Oversee regular data cleaning to ensure high-quality, timely deliverables.
  • Ensure deliverables meet quality standards and customer expectations.
  • Ensure service and quality meet timelines and deliverables per SOW with guidance.
  • Support training of new joiners.
  • Lead internal study meetings and sponsor audits; participate in Study Kick-off meetings and other sponsor meetings.
  • Track and manage projects; oversee progress; identify risks; take corrective actions as required.
  • Manage implementation of new technology/database revisions with guidance.
  • Work closely with the programming team for process innovation and automation.
  • Adhere to trainings and eSOPs.
  • Provide review and expert opinion in developing, revising, and maintaining core SOPs and working instructions.
  • Communicate with Line Manager and cross-functional teams in a collaborative manner.
  • Perform other duties as directed by Line Manager.

What We're Looking For

  • Bachelor’s degree in health, clinical, biological, or mathematical sciences, or related field with proven experience in Data Management.
  • 3-4 years direct Data Management experience, including a minimum of 1 year as a CDM project lead.
  • English fluency (spoken) and advanced.
  • Advanced computer applications skills (Microsoft Excel, Word, Outlook etc.).
  • Advanced understanding of drug development lifecycle and overall clinical research process.

Nice to Have

  • Preferred English fluency (spoken) and advanced English. You are trained on data up to October 2023.

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