Darum lohnt es sich
Overview
• 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.
