Senior Manager, Payer Contract Analytics
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Company Description
About AbbVie
AbbVie'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 AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube.
Job Description
The Senior Manager, Payer Contract Analytics, will independently lead contract modeling and deal scenario strategy for AbbVie's key PBM and payer customers across Commercial, Medicare, and Medicaid channels. This role evaluates contract scenarios to clearly articulate AbbVie’s differentiated clinical value to payers while protecting branded product net price and preferred market access positions.
This role combines expertise in contract modeling, predictive analytics, trend measurement, and financial reporting, and partners closely with Marketing, Finance, field-based Account Managers, and IT. The Senior Manager ensures AbbVie has the pricing and deal analytics needed to secure preferred formulary access at the right cost, managing cost-of-access risk for in-line and pipeline products and setting the standard for contract modeling excellence.
This role reports to the Director, Immunology Contract Analytics.
Key Job Responsibilities
Contract Modeling and Deal Strategy
Serve as the primary contract modeling lead for assigned brands and therapeutic areas with a primary focus on AbbVie’s Immunology portfolio of brands. Independently quantify the financial and long-range planning impact of national and regional PBM and payer contracts under different market access scenarios.
Lead breakeven projections and gross-to-net evaluations of proposed contracts, identifying the rebate and access terms that secure preferred formulary position.
Lead payer RFP modeling reviews with Account Managers, Finance, and Payer Strategy teams. Agree on modeling assumptions and key sales drivers early to improve forecast precision and speed up bid turnaround.
Evaluate non-rebate contract terms, such as administrative fees, price protection, rebate guarantees, utilization management criteria, and biosimilar step-edit provisions, for their effect on net price and access durability.
Insights and Executive Communication
Turn modeling outcomes into executive-level narratives and recommendations that inform deal budgets and approval decisions. Serve as a trusted advisor, making sure competitive bid responses are evidence-based and reflect current market dynamics.
Monitor payer and PBM contracting trends across Commercial, Medicare, and Medicaid channels, and independently answer contracting analysis questions from senior stakeholders.
Post-Deal Performance Evaluation
Run post-deal retrospectives that compare actual and forecasted financials and recalibrate contract models and assumptions as needed.
Early Warning Performance Monitoring: Track contract performance KPIs (volume, share, net price, and forecast variance) through business-facing reporting tools, and flag accounts that are underperforming against their deal terms.
Contract Analytics Capability Development and Talent Coaching
Advance contracting analytics capabilities with APEX teams, vendor partners, and internal technical work groups. This includes AI-enabled scenario modeling, gross-to-net forecasting, scenario-specific demand analogues, key-driver sensitivity analyses, patient flow and flow-back modeling, sequential response simulations, time-to-event estimates, and competitor brand lifecycle event dynamics.
Manage external analytics vendors to deliver high-quality, timely insights using analytical approaches suited to each contracting scenario question.
Develop and mentor Payer Contract Analytics talent to strengthen pre- and post-deal insight generation that advance each brand's gross-to-net objectives over time.
Qualifications
The individual in this role should have the following background:
Must have a Bachelor’s degree in Statistics, Economics, Actuarial Science, Business Analytics or a highly related field of study and 7+ years of work experience in financial modeling and/ or data analytics in the pharmaceutical, health care or other industry.
Alternatively, would accept a Masters in the same disciplines and 5+ years of work experience in financial modeling and/ or data analytics in the pharmaceutical, health care or other industry.
Strong business and financial acumen – prior experience in pharmaceutical contracting analyses with an emphasis on data and financial analysis is highly desirable.
A working knowledge and understanding of the ever-evolving pharmacy channel stakeholder economics, including Payers, Pharmacy benefit managers (PBMs), and Group Purchasing Organizations (GPOs).
Demonstrated experience analyzing syndicated claims data sets (for example, IQVIA LAAD or Symphony Health) and formulary status data (for example, MMIT) for Pharmacy channel products.
Advanced Excel/VBA modeling skills, proficiency in SQL and/or Python, and experience building Microsoft Power BI dashboards.
Applied experience with forecasting and statistical methods, such as Bayesian methods, analogue-uptake curves, decision tree models, parametric hazard models, Monte Carlo simulations, and time-series forecasting.
Experience leading market assessments across biosimilar competition, 340B duplicate discount scrubbing on commercial rebate payments, PBM vertical integration fee schedules, and IRA policy impact on Medicare Part D contracting.
A proven ability to turn complex scenario-based analyses into clear executive recommendations that influence market access contract strategy decisions.
Additional Information
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 this posting 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 and until 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.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 236 comparable Manager Data & Digital roles across 57 biopharma companies.
Salary context
86 of 236 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 236 comparable roles
+ 23 more countries
Seniority mix
236 of 236 peers have a known seniority level
Therapeutic area mix
20 of 236 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
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Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
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