Demo

Biopharma Commercial Data Operations Lead

Fipsar Inc
Hillsborough, NJ Full Time
POSTED ON 3/22/2025
AVAILABLE BEFORE 4/19/2025

Pioneering Life Sciences with Data and AI

At Fipsar, we redefine data management and analytics for life sciences, transforming organizations to harness data and accelerate drug development, commercial and clinical operations, and AI-powered insights.

Job Overview

We are seeking a Biopharma Commercial Data Operations Lead - Patient Services to join our team. The ideal candidate will possess strong expertise in Biopharma Commercial Data Operations and related Salesforce technologies.

Key Responsibilities

  • Assess and document the current data flow and discrepancies between Salesforce Health Cloud, Data Warehouse, and Qlik BI reporting.
  • Owning and maintaining the daily scorecard and data reconciliation report, capturing key data issues reported by the offshore monitoring team.
  • Coordinating with data vendors and application owners to resolve data discrepancies and provide business clarifications.
  • Automating the data reconciliation report generation and implementing quality rules to proactively identify and resolve issues.
  • Developing and executing a strategy to streamline operations, enhancing efficiency and business continuity.

Qualifications and Skills

  • Prior experience or knowledge in specialty pharmacy data and pharma commercial operations is required.
  • Strong understanding of biopharma patient services operations and associated data processes.
  • Proficiency in data analysis, data quality, and reconciliation processes.
  • Ability to work cross-functionally with offshore teams, data vendors, and business stakeholders.
  • Hands-on experience with automation and data validation methodologies.
  • Knowledge of Salesforce Health Cloud, Data Warehousing, and BI tools (Qlik) is a plus.
  • Strong communication and problem-solving skills.

About Fipsar

This is an onsite role requiring close collaboration with business and technical teams to ensure the integrity and accuracy of patient services data.

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