Principal Product Manager, ML/AI, Privacy, Health, AdTech
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Job Description
Principal Product Manager developing and scaling Health AdTech solutions for Acxiom. Driving product growth, compliance, and operational frameworks for healthcare brands.
Responsibilities:
- Lead the strategic roadmap and capability expansion of the DTC (Direct-to-Consumer) and HCP (Healthcare Provider) outreach and Market Access platform.
- Drive the launch of new ML/AI-driven audience and activation products, ensuring compliance with HIPAA, NAI and privacy-by-design principles.
- Partner with engineering and architecture teams to scale infrastructure and manage performance at national data volumes.
- Develop frameworks for portfolio management, including capability scoring, lifecycle governance, and retirement planning.
- Enable standardized product processes, training, and documentation to drive internal adoption and operational consistency.
- Design, implement, and propagate structured user adoption frameworks that ensure consistent onboarding, engagement, and proficiency across diverse user groups.
- Manage forecasting and capacity planning for user and data volume growth to ensure system stability and responsiveness.
- Collaborate with data science, analytics, and platform engineering to operationalize predictive audience models and measurement frameworks.
- Champion data quality, model explainability, and privacy compliance in all product releases.
Requirements:
- 8+ years of product management experience in AdTech, HealthTech, or Data Platforms, with emphasis on AI/ML or data-driven ecosystems.
- Proven success scaling enterprise-grade or national-scale data platforms.
- Experience with agile development methodologies.
- Understanding of pharma market access, DTC and HCP marketing, and healthcare audience activation.
- Familiarity with privacy-preserving data technologies (tokenization, clean rooms, zero-knowledge frameworks).
- Strong operational and portfolio management orientation, including OKR management and capacity forecasting.
- Ability to collaborate cross-functionally with engineering, data science, compliance, and commercial teams.
Benefits:
- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events
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