Director Finance, Revenue Data & Analytics

Description

Lantheus is an entrepreneurial, agile, growing organization that provides innovative diagnostics, targeted therapeutics, and artificial intelligence (AI) solutions that empower clinicians to find, fight and follow disease.At Lantheus our purpose and values guide our behaviors in all interactions and play a vital role in creating a dynamic environment that contributes to our success. Every employee is crucial to our success; we respect one another and act as one knowing that someone's health is in our hands. We believe in helping people be their best and are seeking to bring together a diverse group of individuals with different viewpoints and skill sets to be a part of a productive and inclusive team.

Summary of Role

We are seeking an experienced data-savvy, highly analytical and forward-thinking professional to join our Finance team as the Finance Director of Revenue Data & Analytics to lead the development of scalable revenue forecasting models, advanced data analytics and integrated financial systems to drive forecast accuracy. This role combines deep financial domain knowledge with advanced data science capabilities and BI tool expertise to develop independent, data-driven revenue forecasts, challenge assumptions from the Commercial team with rigor, and design the cross functional processes needed to deliver accurate and actionable insights that directly impact financial outcomes. You will collaborate closely with senior leaders across Commercial, Revenue Operations and Revenue Accounting teams to drive a culture of analytics excellence and strategic finance partnership that supports real-time decision-making across the organization. This role will have direct reports.

Key Responsibilities / Essential Functions

• Lead the financial partnering with the Commercial Revenue and Insights team analyzing historical revenue, forecasting and budgeting and providing key insights, including quantification of risks and opportunities. Provide actionable insights on performance against functional Key Performance Indicators ("KPI's")
• Independently build and own detailed bottom-up revenue forecasts, integrating historical trends and using advanced statistical and machine learning models
• Construct models that challenge and validate Commercial team assumptions, using unbiased data-backed analysis, predictive analytics and scenario modeling
• Implement a forecast accuracy program with published scorecards (MAPE, WAPE, bias, coverage) and a monthly / quarterly challenge cadence; right-size forecast granularity to maximize accuracy.
• Ownership of the monthly revenue and pricing internal reporting packages and presentations with an emphasis on key insights (i.e. customer and plant level, # of doses, ASP, gross to net, etc..) that illustrate a well-thought-out story that is backed by strong data points and metrics and provides the business value added insight to enable business decisions;
• Elevate analysis for revenue through partnership with Commercial Analytics, ensure consistent messaging from both Finance and Commercial in consolidated reporting; Partner with the Revenue Accounting team to ensure consistency in reporting of actuals and forecasts.
• Own the revenue data product and implement explainable forecasting using advanced analytics / ML with clear accuracy and risk controls; establish model governance aligned to internal control and compliance requirements.
• Builds, owns and maintains weekly revenue and dashboards using financial systems (i.e. SAP, SAC, BI, etc..) that provide actionable insights on performance against historical actual trends, forecasts and budgets
• Deliver insight-rich reports and dashboards for executive leadership by translating data into clear, actionable insights and recommendations
• Serve as a key voice in quarterly business reviews, planning cycles, and pricing / gross margin analysis
• Champion systems standardization, automation, and real-time insight generation across Finance and Commercial functions; Comprehend the architecture and integrity of financial systems related to revenue (i.e. Salesforce, BI, SAP, billing systems, SAC, EC2 Lisbon etc.)
• Owner of revenue planning module (SAC) and drive optimization of forecast / budget data gathering and reporting; Key member of revenue master data governance; must be data literate
• Support pricing, discounting, and incentive strategy with data-backed modeling
• Key participant in the annual strategic planning process through close collaboration with Commercial, Strategic Finance, Corporate Development and other relevant functions
• Comply with Sarbanes-Oxley section 404 requirement as related to revenue recognition, ERP, and related systems
• Work cross-functionally within the organization on new initiatives and special projects such as evolving revenue models, strategic partnership programs and new product launches
• Assist in other ad-hoc projects as requested

Basic Qualifications

Equal Opportunity Employer

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