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Assoc. Dir Patient and Channel Data mgmt

Job in Rahway, Union County, New Jersey, 07065, USA
Listing for: Merck
Full Time position
Listed on 2026-07-24
Job specializations:
  • IT/Tech
    Data Warehousing, Data Analyst, Data Engineering
Job Description & How to Apply Below
Position: Assoc. Dir. , Patient and Channel Data mgmt
** Job Description*
* The Associate Director, Patient and Channel Data Management will report into Director, Commercial Data Solutions within the Data Strategy products and Innovation organization (DSPI) department.

In this role, a typical day might include:

The Associate Director, Patient and Channel Data management is responsible for the curation, governance, quality and operationalization of patient/specialty data assets that power commercial decision making across therapeutic areas.  The ideal candidate brings deep expertise in specialty pharmaceutical data ecosystems, strong problem-solving capabilities, and the ability to influence and drive alignment across a broad set of cross-functional partners.

This role might be for you if you can/have:

+ Serve as the subject matter expert and strategic owner for channel and patient support services data assets; develop and maintain data management frameworks, SOPs, data dictionaries, and data maps across all relevant data domains

+ Establish and monitor data quality metrics to ensure accuracy, completeness, and integrity; drive root cause analysis and resolution of data quality issues, including SP/SD/patient-level data reconciliation

+ Support integration of specialty data into commercial reporting, forecasting, and analytics platforms; maintain alignment with enterprise data governance principles in partnership with governance teams

+ Contribute to launch readiness by building data infrastructure and reporting frameworks ahead of new product or indication launches; represent the data management function in commercial operations working groups and leadership reviews

+ Provide accurate channel-level data inputs to support gross-to-net and revenue deductions modeling in partnership with Trade and Market Access teams

+ Manage relationships with data aggregators, specialty distributors, SP data providers, and PSS vendors, including contract scope, data delivery SLAs, issue escalation, and regular business reviews

+ Serve as a key data management partner across internal stakeholders (PSS, Trade, IAM,  Market Access, Advanced Analytics), translating complex data concepts into clear business context for non-technical audiences

+ Manage end-to-end data flows from specialty distributors and specialty pharmacies, including SD 867/852 transaction data, SP inventory and dispense, chargeback, and ex-factory shipment data

+ Build, manage and govern PSS data assets across the full patient journey (patient intake, BI/BV, eBV, PA/ePA, copay enrollment/claims, free goods/PAP/IAP, Adherence) in strict compliance with HIPAA, PHI requirements, and our company data governance and tokenization standards

+ Maintain working knowledge of and leverage industry-standard commercial datasets (IQVIA LAAD, APLD, Symphony Health, Precision, MMIT); apply data tokenization methodologies to link patient-level data across sources while maintaining PHI compliance

To be considered for this opportunity, you must have the following:

+ BA/BS with 10+ years (or MBA/MS with 7+ years) of experience in commercial data management, analytics, or operations within the pharmaceutical or biotechnology industry

+ Deep expertise in patient/specialty pharmaceutical data ecosystems, including:
Deep expertise in specialty pharmaceutical data ecosystems, including channel/trade data (SD 867/852, SP inventory/dispense, chargeback, ex-factory), SP/SD reconciliation and audit controls, and PSS data (patient intake, BI/BV, eBV, PA/ePA, copay enrollment/claims, free goods, IAP/PAP)

+ Strong working knowledge of industry-standard datasets including IQVIA LAAD, APLD, Symphony Health, Precision, and MMIT

+

Experience with data tokenization, PHI handling, and HIPAA compliance requirements

+ Proficiency with data management and analytics tools (e.g., SQL,Redshift, Databricks, or equivalent)

+ Proven experience managing external data vendors and holding partners accountable to SLAs

+ Demonstrated ability to influence without authority and drive alignment across cross-functional teams

+ Demonstrated flexibility, leadership presence, and emotional intelligence when navigating complex stakeholder environments and competing priorities

+…
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