Senior Director - Business Development Forecasting, White Space

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

Position Summary

Business development and external innovation are a priority for Lilly, and the volume of opportunities under evaluation continues to grow: Corporate Business Development brought approximately 120 forecasting projects to the organization in 2026, spanning well over 100 assets and unique indications across five therapeutic sections. Within Lilly's Global Forecasting organization, the Business Development Forecasting team provides the objective forecasts and market assessments that inform whether, and on what terms, Lilly pursues these opportunities. This role owns business development forecasting for white-space opportunities—therapeutic areas and modalities outside Lilly's established business units, such as rare disease, women's health, respiratory, ophthalmology, infectious disease, and platform, technology, or novel-modality deals where the eventual indication set is still open. This is an introductory leadership role and a senior individual contributor without direct reports. The role is accountable for creating forecasts and opportunity assessments across a high volume of concurrent projects—roughly one new project per week at current demand—and for influencing Corporate Business Development, business-unit leadership, and governance forums toward a clear understanding of the risks and opportunities of external investment. Meeting that demand is not possible by building bespoke models one at a time; the role is expected to operate at scale through tiered depth, reusable model archetypes, a governed assumption library, and heavy, auditable use of AI and other technology, so that the forecaster's time is spent on judgment rather than assembly. The role reports into the Global Forecasting organization's business development forecasting leadership, draws on therapeutic-area forecasting experts across the organization when an opportunity touches an established area, and is expected to build a defensible view rapidly in areas where no internal expert exists.

Strong Candidate Profile

Strong candidates identify market opportunities on the basis of future scientific innovation and are comfortable doing so in therapeutic areas they have never modeled before. This role favors exceptional curiosity, learning agility, and analog-based reasoning over depth in any single disease area; prior forecasting, valuation, consulting, or finance experience within pharma is a distinct advantage, and strong data-science or AI tooling skills help but are not required.

Key Objectives & Deliverables

Tiered forecast delivery: Deliver revenue and volume forecasts and market analyses for external opportunities at the depth each decision requires—from a two-to-three-day top-down screen for early or option-style deals, through a standard patient-based forecast with risk-adjusted P&L for assets in active diligence, to a fully built committed forecast with launch curve, LOE, ex-US, competitive scenarios, and red-team review for anything headed to a term sheet or governance.

Carry each project through the Business Development Forecasting stage gates (framing, approach and analogs, assumptions locked, output review, delivery and archive), with the model, assumption log, and thesis memo filed so that the work is auditable and reusable.

Ensure every input carries a source and an owner; models are rigorous, objective, transparent, and consistent with how the same indications are modeled for Lilly's internal pipeline.

Support commercial decision forecasts for internal assets when needed, applying the same standards and templates.

Manage a portfolio of concurrent projects with differing tiers, timelines, and decision dates; triage incoming work at intake and communicate turnaround expectations clearly to partners. Build from and contribute to the team's library of model archetypes so that the same indication is modeled once and consistently across every asset that targets it, and a screen-level model becomes the skeleton for deeper work rather than being discarded. Maintain and extend the governed assumption library (epidemiology, treatment architecture, price and gross-to-net bands, analog launch curves, probability of technical success) as the shared source of truth for business development forecasting. Run brief retrospectives after standard and committed projects and feed learnings back into templates, standards, and the assumption library.

Leverage Apply large language models, agentic tools, and automation across the forecasting workflow—intake briefs and landscape research, assumption drafting from the library, model assembly from templates, numeric reconciliation, and documentation—with human review and acceptance at every step. Hold a clear line on judgment: probability of technical success, price, and share assumptions are never set by AI alone; the forecaster owns and can defend every material input. Identify, pilot, and scale new tools and approaches (including novel machine-learning and disruptive methods) that raise throughput or predictive quality, and share them across the Global Forecasting organization.

Work at pace with the functions that shape each opportunity, respecting explicit decision rights: Corporate Business Development — align on deal structure, what is being valued (asset, platform, royalty), scope, and timeline to decision. New Product Planning and Commercial — align on positioning, placement, and the investment thesis; challenge and pressure-test share assumptions. Pricing, Reimbursement & Access (PRA) — obtain and apply price, gross-to-net, and access assumptions. Clinical development, medical, and LRL — align on probability of technical success, label, and development timelines; connect clinical scenarios to commercial outcomes. Corporate Finance and Investment Banking (CFIB) — hand off forecasts into valuation and deal models and ensure the numbers reconcile.

Rapidly build working market understanding in unfamiliar therapeutic areas—epidemiology, treatment paradigms, competitive landscape, and access dynamics—using secondary data, syndicated sources, external experts, and AI-assisted landscape research, and document the basis of that understanding so it can be challenged and reused. Develop and maintain a library of analogs, benchmarks, and top-down methods suited to early, platform, and option-style deals where a bottom-up patient funnel is not yet appropriate. Value platforms and technologies (not just single assets): frame indication-portfolio scenarios, apply probability-weighted option logic, and make the drivers of value explicit for leadership.

Synthesize findings into clear, decision-ready outputs—a one-page thesis memo, the scenario range, and the two or three assumptions that matter most—tailored to Corporate Business Development, business-unit leadership, and governance audiences. Represent an objective, data-driven view of each opportunity, surfacing where the thesis breaks and where the upside lies, even when that challenges the deal team's prevailing view. Present and influence with senior leaders in a fast-paced environment where decisions are made quickly and revisited as diligence evolves.

Key Competencies

build rigorous patient-based and top-down opportunity forecasts and risk-adjusted P&Ls appropriate to the stage of the asset and the decision at hand.

the ability to become credibly conversant in a new disease area in days, identify the right analogs, and know when a first-principles view is needed instead.

manage many concurrent projects, triage by decision value, and know how much depth a decision actually needs.

use AI/ML and modern analytical tooling as a daily multiplier while keeping every material assumption owned and defensible.

align Business Development, Commercial, PRA, clinical, and Finance partners to a shared view without positional authority.

distill complex analysis into clear, decision-ready messages for senior leaders under time pressure.

evaluate sources critically, reason independently, and represent the opportunity as it is.

ensure the math is always right and every number reconciles.

Basic Qualifications

• Bachelor's degree 3 + years of professional experience in pharmaceutical or biotech settings, performing at least one of the following: forecasting or modeling revenue, volume, or patient outcomes; valuing or assessing assets, products, or transactions; or conducting financial or commercial analysis to support business, strategic, or investment decisions. 3 + years of pharmaceutical or biotech industry experience.
• Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1 Preferences
• Demonstrated ability to work with complex and voluminous data and to build quantitative models.
• Breadth across multiple therapeutic areas, or experience in areas outside Lilly's core business units (e.g., rare disease, women's health, respiratory, ophthalmology, infectious disease), particularly with early-stage or platform assets.
• Experience forecasting or valuing pharmaceutical products for business development, licensing, or M&A.
• M.B.A. or advanced degree in Business Analytics, Data Science, Finance, Statistics, Epidemiology, or a related quantitative field.
• Demonstrated use and application of AI and other innovative technologies in analytical work (e.g., Python, LLM-based workflows, automated data pipelines, template-driven model generation).
• Knowledge of market data sources and tools (e.g., IQVIA, claims/EMR data, epidemiology, clinical trial, and deal databases).
• Experience presenting and synthesizing technical information for senior leaders in a clear and concise manner.
• Demonstrated effectiveness working in teams, including peer coaching and situational support on shared deliverables.
• Demonstrated ability to operate with ambiguity, incomplete information, and shifting priorities.

Additional Information

This is an individual-contributor role with no direct reports. Business development projects operate in a fast-paced environment with compressed timelines.

Travel may be required for projects, domestic or international; estimated travel is 0–10%.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions.

If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( for further assistance.

Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $166,500 - $244,200 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance).

• including eligibility to participate in a company-sponsored 401(k)
• pension
• vacation benefits
• eligibility for medical, dental, vision and prescription drug benefits
• flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
• life insurance and death benefits
• certain time off and leave of absence benefits
• well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
• company bonus (depending, in part, on company and individual performance)

Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

#WeAreLilly At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world. How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people. We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe! #WeAreLilly