Senior AI Product Manager – Government Pricing, Compliance

GSK

. Own the end-to-end AI product roadmap for government pricing and compliance .

Posted 10/22/2026full-timePhiladelphia • Pennsylvania • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing AI product roadmaps for government pricing and compliance, with a strong focus on regulatory changes, audit readiness, and data governance. Proficient in delivering AI/ML solutions and integrating with enterprise systems to enhance filing accuracy and compliance.

Highest-signal resume keywords

AI/ML Solutions DeliveryGovernment Pricing ComplianceSOX Financial ControlsProduct Management ExperienceData Governance Practices

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Hard Skills

SQLPythonProduct Specifications WritingAgile DeliveryData Quality AnalysisMaster Data GovernanceRegulatory Requirement TranslationUser Story DefinitionAcceptance Criteria DefinitionRelease Planning

Soft Skills

Stakeholder ManagementTraining and Adoption Facilitation

Tools & Technologies

Model NERP SystemsContract Management PlatformsChargeback SystemsRebate Systems

Industry Keywords

MDRPMedicare ASP340BVA/FSSAudit ReadinessCompliance Risk ManagementPricing SystemsFinancial ReportingAgentic FrameworksLLM-Powered Tools

Tech Stack

Tools & technologies

ERPPythonSQL

About the role

Key responsibilities & impact

Own the end-to-end AI product roadmap for government pricing and compliance
Prioritize capabilities that improve filing accuracy, reduce compliance risk, and automate manual workflows
Define and monitor KPIs for filing accuracy, exception volumes, cycle time, and compliance SLA performance
Define and own government pricing technology strategy, roadmap, SLAs, and integrations across ERP, contract management, chargeback, and rebate platforms
Partner with revenue cycle technology teams to enable seamless data exchange and knowledge sharing
Establish governance for regulated AI use cases, including model validation, documentation, explainability, human-in-the-loop review and approval gates, and bias and drift monitoring
Own governance of government pricing inputs, including customer eligibility, product and pricing master data, transactional data lineage, and calculation assumptions
Assess technology impacts of regulatory changes under MDRP, Medicare ASP, 340B, VA/FSS, TRICARE, and state reporting
Translate regulatory changes into product requirements and roadmap priorities
Ensure on-time, accurate submissions with full audit trails and reliable restatements and true-ups
Maintain audit readiness of government pricing technology controls, including SOX alignment, change control, testing evidence, segregation of duties, and access reviews
Support government inquiries, audit requests, and price dispute resolution
Drive adoption by training Government Pricing, Finance, and Compliance users on AI-enabled workflows
Maintain process and control documentation and capture user feedback

Requirements

What you’ll need

Bachelor’s degree in computer science, Engineering, Business, or Finance
8+ years of combined product management and technical experience
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)
Experience 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 integrations 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
Experience applying data quality, lineage, and master data governance practices
Experience with agile delivery and stakeholder management
Experience with backlog ownership, user story and acceptance criteria definition, and release planning with engineering and data teams
Experience translating regulatory and finance requirements into specifications for senior Finance, Legal, and Compliance stakeholders
Preferred: Experience deploying agentic AI frameworks or LLM-powered tools in regulatory, compliance, or financial reporting contexts
Preferred: Prior forward deployment, AI implementation, or technical product experience at a pharma, biopharma, or enterprise AI company

Benefits

Comp & perks

Comprehensive benefits program for US employees
Equal Opportunity Employer