Welcome Back

Google icon Sign in with Google
OR
I agree to abide by Pharmadaily Terms of Service and its Privacy Policy

Create Account

Google icon Sign up with Google
OR
By signing up, you agree to our Terms of Service and Privacy Policy
Instagram
youtube
Facebook

Clinical Data Svs Associate Manager

Accenture
10-14 years
Not Disclosed
Bangalore, India
1 June 5, 2026
Job Description
Job Type: Full Time Education: B.Sc/M.Sc/M.Pharma/B.Pharma/Life Sciences Skills: ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing

Clinical Data Services Associate Manager

Job Title: Clinical Data Services Associate Manager
Company: Accenture
Location: Bengaluru, India
Employment Type: Full-Time
Experience Required: 10–14 Years
Function: Clinical Data Management (CDM) / Clinical Data Operations
Industry: Life Sciences / Clinical Research / Pharmaceutical Services


Position Overview

Accenture is seeking an experienced Clinical Data Services Associate Manager to lead and manage clinical data operations across global clinical research programs. This role is responsible for overseeing end-to-end clinical data management activities, ensuring high-quality, compliant, and timely delivery of clinical trial data to support drug development and regulatory submissions.

The successful candidate will serve as a key liaison between study teams, sponsors, and cross-functional stakeholders while driving operational excellence across multiple clinical studies. The role requires strong project management capabilities, leadership skills, and deep expertise in clinical data management processes throughout the clinical trial lifecycle.


Key Responsibilities

Clinical Data Management Leadership

  • Lead end-to-end clinical data management activities across assigned clinical studies.

  • Oversee study start-up, conduct, and database close-out activities.

  • Ensure clinical trial data is collected, validated, reconciled, and delivered according to project timelines and quality standards.

  • Act as the primary point of contact for study teams and sponsors regarding clinical data management activities.


Clinical Data Operations

  • Manage all aspects of clinical data operations, including:

    • Data Collection

    • Data Validation

    • Data Cleaning

    • Query Management

    • Data Review

    • Database Lock Activities

  • Ensure data integrity, consistency, and regulatory compliance throughout the study lifecycle.

  • Monitor key data management metrics and project milestones.


Data Review & Reconciliation

  • Lead and oversee:

    • SAE Reconciliation

    • External Data Reconciliation

    • Laboratory Data Review

    • Protocol Deviation Identification

    • Data Cleaning Activities

  • Ensure timely resolution of discrepancies and data issues.

  • Coordinate with safety, clinical operations, and vendor teams for reconciliation activities.


Project & Portfolio Management

  • Manage multiple clinical studies and study portfolios simultaneously.

  • Develop project plans, timelines, resource allocation strategies, and risk mitigation plans.

  • Track project deliverables and proactively address operational challenges.

  • Ensure study milestones are achieved within budget and timelines.


Stakeholder & Client Management

  • Build and maintain strong relationships with:

    • Sponsors

    • Clinical Operations Teams

    • Biostatistics Teams

    • Regulatory Teams

    • Pharmacovigilance Teams

    • External Vendors

  • Serve as the primary escalation point for data management issues.

  • Provide regular project status updates and strategic recommendations to stakeholders.


Team Leadership & People Management

  • Lead, mentor, and develop clinical data management teams.

  • Manage medium-sized project teams and support team performance initiatives.

  • Provide guidance on complex clinical data management activities.

  • Support talent development, training, and knowledge-sharing initiatives.


Quality & Compliance

  • Ensure compliance with:

    • ICH-GCP Guidelines

    • FDA Regulations

    • EMA Requirements

    • CDISC Standards

    • Company SOPs

    • Industry Best Practices

  • Support audit and inspection readiness activities.

  • Participate in quality reviews and process improvement initiatives.


Process Improvement & Innovation

  • Identify opportunities to improve operational efficiency and data quality.

  • Contribute to standardization and optimization of clinical data management processes.

  • Support implementation of new technologies, systems, and best practices.

  • Drive continuous improvement initiatives across clinical data operations.


Required Qualifications

Education

Mandatory

Bachelor’s Degree in:

  • Engineering (BE/B.Tech)

  • Life Sciences

  • Pharmacy

  • Biotechnology

  • Biomedical Sciences

  • Computer Science

  • Related Scientific Disciplines

Preferred

  • Master’s Degree in Life Sciences, Clinical Research, Data Management, or related field.