Revenue Planning and Analytics Manager

Baylor Genetics•,

1d•Remote

About The Position

The Manager, Revenue Planning & Analytics is a high-impact commercial finance leadership role responsible for owning revenue planning, average selling price (ASP) forecasting, volume-demand planning forecasting, pricing governance, contract economics, and commercial performance analytics. The role converts payer, product, volume, mix, reimbursement, and pipeline data into reliable forecasts and decision-ready insights that support profitable growth, revenue integrity, and effective enterprise planning. Reporting to the Vice President, Revenue Accounting & Commercial Finance, this position leads the day-to-day Revenue Planning & Analytics function and directly manages the Senior Analyst, Revenue Pricing Integrity & Governance. Success is demonstrated through forecast accuracy, disciplined pricing and contract evaluation, timely executive insights, clear accountability for commercial assumptions, and strong cross-functional alignment across Revenue Accounting, FP&A, Market Access, RCM, Commercial, Accounting, and operational partners.

Requirements

Bachelor’s degree in finance, accounting, economics, data analytics, or a related quantitative discipline.
5 to 7 years of progressive experience in commercial finance, corporate finance, revenue operations, revenue accounting, or financial planning and analysis, including experience leading complex analytical workstreams.
Demonstrated ability to manage, coach, prioritize, and review the work of an advanced individual contributor or analytical team.
Strong command of revenue forecasting, ASP and reimbursement analytics, pricing architecture, contract economics, margin management, and commercial performance measurement.
Expert-level Microsoft Excel capability, including scenario and sensitivity analysis, complex formulas, dynamic models, data tables, and multi-variable forecasting logic.
Ability to work across CRM, ERP, reimbursement, billing, and business intelligence environments, including tools such as Salesforce, NetSuite, Tableau, Power BI, Adaptive Planning, or similar platforms.
Ability to convert complex analysis into clear financial narratives, recommendations, and decision points while constructively challenging assumptions and influencing cross-functional leaders.

Nice To Haves

Master of Business Administration (MBA) or master’s degree in finance, accounting, economics, business analytics, or a related discipline.
Experience within healthcare, clinical laboratory, biotechnology, diagnostics, or another reimbursement-driven industry, including exposure to payer contracting and reimbursement analytics.
Certified Public Accountant (CPA), Chartered Financial Analyst (CFA), Certified Corporate FP&A Professional (FPAC), or comparable credential.

Responsibilities

Own rolling revenue forecasts, annual planning inputs, and long-range revenue models across volume, test mix, payer mix, ASP, reimbursement, pricing, and other key commercial drivers.
Develop and maintain ASP forecasting, reimbursement visibility, collection trends, contract pull-through, and revenue performance analytics; explain price, volume, mix, payer, and timing variances.
Lead pricing governance and approval routines, including financial sensitivities, margin analysis, reimbursement considerations, contract economics, and documentation of decision inputs and guardrails.
Translate complex payer and commercial trends into concise executive-level actions, risks, opportunities, and recommendations for leadership review.
Provide governed commercial demand, revenue, ASP, pricing, and commercial-spend assumptions to FP&A and operating partners to support one integrated enterprise outlook.
Partner with Market Access, RCM, Commercial, Revenue Accounting, FP&A, Accounting, Operations, and other stakeholders to align assumptions, resolve data issues, and support implementation of approved decisions.
Manage, coach, and develop the Senior Analyst, Revenue Pricing Integrity & Governance; set standards, prioritize work, review analytical deliverables, and ensure timely, accurate execution.
Establish repeatable models, dashboards, trackers, and review controls that improve data quality, forecast transparency, accountability, and scalability of commercial finance processes.
Identify and quantify revenue risks and opportunities, including reimbursement changes, payer behavior, denial and collection trends, contract performance, pipeline developments, and emerging business conditions.
Perform other duties as assigned and comply with all company policies, procedures, and applicable regulatory requirements.