Senior AI Product Manager – Government Pricing & Compliance
About the role
Key Responsibilities
- AI product roadmap: Own
the end-to-end AI product roadmap for government pricing and compliance, prioritizing capabilities that improve filing accuracy, reduce compliance risk, and automate manual workflows, and define and monitor KPIs for filing accuracy, exception volumes, cycle time, and compliance SLA performance. •
Technology stack and integrations
AI governance
Data governance
Regulatory change
Submissions, restatements, and true-ups
Audit readiness
Change management
Basic Qualification
We are seeking professionals with the following required skills and qualifications to help us achieve our goals:
- Bachelor's degree in computer science, Engineering, Business, or Finance, and 8+ years of combined product management and technical experience, including experience delivering AI/ML solutions using agentic frameworks, LLMs, or automated compliance workflows.
- Experience with US government pricing and rebate programs, including MDRP (AMP, Best Price, and unit rebate amount calculations), Medicare ASP, 340B, and VA/FSS (including Non-FAMP and Federal Ceiling Prices), and with SOX financial controls, internal audit processes, and audit-readiness standards for pricing systems.
- Experience with enterprise government pricing or revenue management platforms (e.g., Model N or equivalent) and their integration with ERP, contract management, and chargeback or rebate systems.
- Experience writing product specifications, prototyping AI workflows, and analyzing large transactional sales and pricing datasets using SQL and Python, including applying data quality, lineage, and master data governance practices.
- Experience with agile delivery and stakeholder management, including backlog ownership, user story and acceptance criteria definition, release planning with engineering and data teams, and translating regulatory and finance requirements into specifications for senior Finance, Legal, and Compliance stakeholders.
Preferred Qualification
If you have the following characteristics, it would be a plus
- Experience deploying agentic AI frameworks or LLM-powered tools in a regulatory, compliance, or financial reporting context, including AI or model risk governance: model validation, explainability, and human-in-the-loop control design.
- Prior forward deployment, AI implementation, or technical product experience at a pharma, biopharma, or enterprise AI company, including implementing or validating systems in a SOX or GP-controlled environment.
Work arrangement This role is hybrid and based in the United States. You will be on-site part of the week and work remotely the remainder. Collaboration across time zones and functions will be required.
#Li-GSK #AGTech
Skills
AI Platforms, Change Management, Data Analysis, Feature Prioritization, Machine Learning Model Management, ML Platforms, Model Evaluation, Performance Analysis, Product Delivery, Product Design, Product Lifecycle Management (PLM), Product Roadmapping, Roadmap Development, Statistical Analysis, User Needs Analysis
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Not included in the source posting: benefits.
Skills
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