Senior Manager, Neuroscience, Oncology & Eye Care Access, Reimbursement & Fulfillment Analytics

Job Description

The Market Access and Patient Services (MAPS) organizations are responsible for providing exceptional patient experiences through the identification and execution of resources to support patients throughout their treatment journey. The MAPS APEX function serves as the catalyst for understanding the patient’s treatment experience and developing analytical resources to support the APS team. The Senior Manager, Neuroscience, Oncology & Eye Care Access, Reimbursement & Fulfillment Analytics position will deliver high‑quality analytics and applied data science solutions in support of the Access, Reimbursement and Fulfillment team within MAPS APEX.

It will focus on Patient Support Program services, including Copay, Field Reimbursement Managers (FRMs) and Prior Authorization enablement. A core focus will be on improving and optimizing patient conversion, building and deploying predictive and machine learning models that improve patient conversion and help identify, reduce or eliminate any relevant barriers related to patient access through patient journey tracking.

• Contribute to mapping patient journey workflows and flag barriers to patient access, leveraging machine learning techniques as needed such as patient dropout prediction, conversion likelihood scoring, and prior authorization approval modeling to surface non-obvious patterns
• Develop and maintain advanced analytical solutions including supervised and unsupervised ML models, statistical models, and segmentation frameworks that explain drivers and barriers impacting patient outcomes
• Manage and provide the needed data related support for the development of dashboards that provide visibility into the performance of access solutions, including Copay, FRMs and Prior Authorization enablement
• Utilize third‑party vendors such as IQVIA, Symphony, Relay Health and Cover My Meds  to facilitate and accelerate the patient journey
• Identify and escalate key business issues related to program execution and performance, ensuring that multiple partners/stakeholder perspectives are considered
• Support integration with Market Access and Brand APEX teams with respect to Access, Reimbursement & Fulfillment – onboard and drive adoption of new best‑in‑class tools/capabilities including ML‑driven solutions developed in cooperation with relevant stakeholders
• Collaborate closely with Copay Center of Excellence (CCOE), Abb Vie Patient Services, Data Operations, BTS and Brand teams, communicating gaps in data reliability, timeliness, metric hygiene, and contributing to the improvement of the overall analytics ecosystem
• Support CCOE team with copay forecasting capabilities, generating insights to effectively communicate impacts from copay design changes, or from industry or competitor actions
• Partner with Data Operations and BTS to support putting models into production, monitoring, and retraining workflows, ensuring deployed models remain consistent over time
• Leverage innovative, sophisticated analytic models that address critical issues but also meet key business criteria (e.g., cost, risk, business impact) and key technical criteria (e.g., reliability, validity, and predictability)
• Work with contractors and external suppliers

• Bachelor’s Degree required, with a concentration in Business, Analytics, Economics, Mathematics, Statistics, Engineering or a related discipline. Master’s Degree in a quantitative or data science field a plus
• This position requires 7+ years of experience in quantitative analysis of operational, sales or marketing data, and the ability to utilize data to develop business plans and strategies to better optimize a patient or customer funnel
• Hands‑on experience building, validating, and deploying predictive models using techniques such as logistic regression, gradient boosting (XGBoost/LightGBM), random forests or clustering
• Knowledge and understanding of pharma ecosystem and datasets including physician‑level prescribing, institutional sales data, payer‑prescriber‑level data, formulary data, Symphony/IQVIA claims, etc. is preferred
• Must exhibit proficiency commensurate with Manager level in the following…