Associate Director, Market Research and Analytics - Patient Services

The AbbVie Patient Services (APS) organization is responsible for providing exceptional patient experiences through the identification and execution of resources to support patients throughout their treatment journey. The Analytics and Performance Excellence (APEX) Market Access Patient Services (MAPS) function serves as the catalyst for understanding the patient’s treatment experience and developing analytical resources to support the APS team. The Associate Director, Market Research and Analytics - AbbVie Patient Services position will provide best in class analytics leadership for the Access, Reimbursement and Fulfillment team within APS MAPS. 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, and helping to identify, reduce or eliminate any relevant barriers related to patient access through patient journey tracking.

KEY RESPONSIBILITIES:   

• Map out all aspects of the patient journey and identify all barriers to patient access
• Define and oversee the development of analytical solutions that explain the drivers or barriers impacting patient outcomes
• Establish KPIs and manage 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 CoverMyMeds to facilitate and accelerate the patient journey
• Identify and address key business issues related to program execution and performance, ensuring that multiple partners/stakeholder perspectives are considered
• Perform / lead primary market research as needed.  This is a hybrid role with an analytics emphasis but includes some research.  Analytics / research split is ~75% / 25%.
• Lead integration with Market Access and Brand MAPS teams with respect to Access, Reimbursement & Fulfillment – onboard and drive adoption of new best in class tools/capabilities developed in cooperation with relevant stakeholders
• Collaborate closely with Copay Center of Excellence (CCOE), AbbVie 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
• 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)
• Lead a combination of contractors and external suppliers; mentor junior team members.

• Bachelor’s Degree required, with a concentration in Business, Analytics, Economics, Mathematics, Statistics, Engineering or a related discipline. Master’s Degree a plus
• This position requires 8+ 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
• 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.
• Candidate must have strong leadership skills, a proven ability to work closely and effectively with all corporate functions and senior management, and the ability to clearly articulate how to address patient funnel related challenges
• Must exhibit proficiency commensurate with Associate Director level in the following competencies: anticipate future needs, build collaborative partnerships, design, and implement innovative solutions, demystify complex information, communicate insights and solutions
• The qualified candidate will be able to provide guidance and direction to onshore and offshore contractors, ensuring that relevant tasks and projects progress successfully.
• Self-driven, intellectually curious and independent mindset, comfortable assessing unexplored or imperfect data landscapes, and has instinctive intuition for associating data back to relevant business needs
• Experience with programming languages used in analytics (R, Python, Dataiku, SAS, or SPSS) and related statistical modules highly desired
• BI tool (Qlik/Tableau/Power BI) and DB query language (SQL/HIVE/IMPALA) knowledge preferred

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of thisposting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location,and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to participate in our long-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless anduntil paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled. 

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