Director, Patient Data Strategy – Operations
Job in
Jersey City, Hudson County, New Jersey, 07390, USA
Listed on 2026-07-13
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-13
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, Data Warehousing, Data Scientist
Job Description & How to Apply Below
- Own the overall strategy, management, and operations of patient data for the all TAs, Patient Services/Patient Experience, overseeing the strategy, operations, and ongoing quality of the data assets (HUB, patient support programs, specialty pharmacy, claims, data tokenization process etc.)
- Lead the ongoing quality and application of JJIM data pipeline supporting the insights & analytics, patient experience, sales and marketing organization, ensuring high-quality data and appropriate use.
- Act as key contact, or “data quarterback” within the StAT organization for patient data related needs, queries, and issues and advise business and stakeholder teams on the best data sources to leverage for a given business question or insight.
- Lead the data governance program for the patient data for the all JJIM portfolio; actively supervise data quality and resolve data-related issues and disruptions.
- Lead data change management/ issue resolution/ data integration projects for existing products and new launches – build project plans, perform validation and change management activities.
- Lead AI initiatives for Patient Data Improvement, patient tokenization/Superstacking, to deliver compliant Integrated Patient Data.
- Leas all patient data Master Service Provide (MSP) initiatives
- Lead patient data strategy, sourcing and acquisition, patient data management & operations, data solutions & enablement
- Lead data-centric projects to resolution, through resource management, execution, and communication (e.g., data onboarding, data events/disruptions).
- Collaborate with internal business partners on data validation and data coordination activities for stakeholders, and reports/systems.
- Engage business process owners to align on the action plan on the mitigation of data events/changes on various commercial operations processes.
- Responsible for leading annual data purchase or processing budgets for assigned portfolio, build POs and collaborate with finance, procurement and business owners on supervising spending.
- Maintain inventory of purchased data and promote organizational awareness of application of data in relevant use cases.
- Participate in the evaluation of new data sources that may provide new insights, competitive advantage and help advise future data strategy.
- Ensure that data vendors align with Service Level Agreements (SLAs) by ensuring data quality, timely delivery, errors reported, time to resolution to data inquiries, account services etc.
- Validated experience of 15+ years in roles related to patient data, patient data strategy, data management, analytics, insights or other commercial excellence areas within the pharmaceutical or life sciences industry.
- Undergraduate Degree or equivalent in Business, Technology, Analytics or Health Sciences is required.
- A master’s or PhD degree or equivalent experience is an asset.
- Advanced knowledge of data sources/products and expertise in using pharma industry including first party data (HUB, Patient Support Programs, etc.), second party data (Specialty pharmacy), and syndicated/secondary data from leading vendors- IQVIA, Komodo, Symphony, SPP, patient claims, RWE/HEOR, IDN/ACO Affiliations.
- Experience with AI patient data applications, AI leadership, and AI vision for patient data.
- Previous experience in establishing and leading data partnerships with external vendors.
- Strong grasp of data analytics, AI, and machine learning concepts and their application to business operations.
- Knowledge of data querying/business intelligence tools and systems that allow for effective management of large data sets is required.
- Understanding of data governance standard methodologies, and strong understanding of data lifecycle, data quality, metadata, and data management.
- Critical thinking, analytical, problem-solving, and decision-making abilities based on meticulous data analysis and interpretation.
- Outstanding interpersonal skills, with the capacity to collaborate optimally across cross-functional teams and work well with senior leadership.
- Familiarity with data privacy regulations and industry-specific compliance considerations.
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