Associate Director, Data Operations - Patient Services

• Full-time
• Salary Min: 141500
• Therapy Area:
  Other Specialties
• Salary Max: 268500
• Workday Global Grade: 20
• Travel:
  No
• Compensation: USD 141,500 - USD 268,500 - yearly

About Abb Vie

Abb Vie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us at  .

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The Associate Director, APS Data Operations provides strategic and operational leadership for patient services, copay and affordability, specialty pharmacy, hub, and related data operations. This role ensures trusted,timely, compliant, and business-ready data through effective acquisition, integration, quality management, anonymization, vendor oversight, launch readiness, and continuous improvement.

The role leads technical work streams and contributes to program outcomes by developing actionable methods and analyses, collaborating with cross-functional partners to integrate technical solutions throughout the lifecycle, and advising on complex technical decisions and risks.

Responsibilities

Lead end-to-end data operations for patient services, copay and affordability programs, specialty pharmacy, hubs, patient engagement, and related commercial data domains.

Lead technical work streams and deliver high-quality technical outputs for complex projects and programs. Define andvalidatemethods, documentresultsand key assumptions, ensure adherence to applicable standards and controls, and communicate technical progress, impacts, risks, and recommended mitigations to project leads and stakeholders.

Oversee onboarding, validation, reconciliation, monitoring, and delivery of internal and external data sources.

Implement andmonitordata lifecycle and quality processes tomaintaindata accuracy and consistency.

Develop andmaintainmetadata documentation to improve data accessibility and usability.

Conduct data lifecycle management activities, including data retention, archival, and disposal.

Identify and resolve data management issues and recommend process improvements that enhance efficiency, quality, and scalability.

Ensure anonymized and privacy-preserving data assets are delivered accurately, securely, and on time for analytics, reporting, patient journey measurement, and operational decision-making.

Partner with cross-functional business and technical teams to integrate solutions throughout the data lifecycle and advise on complex technical decisions and risks.

Partner with BTS, Privacy, Legal, Compliance, Information Security, and Data Governance to implement appropriate data access, anonymization, retention, security, and handling controls.

Lead operational governance for data vendors and service providers, including service levels, issue escalation, contracts, budgets, and performance improvement.

Lead data readiness for product launches, program expansions, and vendor transitions, including requirements, testing, controls, support procedures, and risk mitigation.

Identify and implement automation and AI-enabled monitoring opportunities that improve data quality, efficiency, and operational capacity.

Lead and develop employees, contractors, and partner resources, and communicate performance, risks, decisions, and recommendations to senior stakeholders.

Bachelor's degree in Information Systems, Data Management, Computer Science, Engineering, Business Analytics, Healthcare Administration, or a related field required; advanced degree preferred.

Minimum of 10 years of professional experience, including at least 5 yearsindata operations, data acquisition, data integration, data quality, analytics operations, ora related discipline.

Demonstrated experience leading technical work streams, developing actionable methods and analyses, and delivering technical outputs for complex projects or programs.

Ability to define andvalidateanalytical or technical methods, document results and assumptions, apply standards and controls, and communicate technical progress, impacts, and risk mitigations.

Experience implementing data lifecycle and quality processes,maintaining metadata documentation, and managing retention, archival, and disposal activities.

Experience…