Data Product Management & Strategy Lead (AI)

TL;DR

Data Product Management & Strategy Lead (AI): Leading global data strategy, architecture, and product delivery for commercial operations with an accent on master data management, data quality, and enterprise integration. Focus on building scalable data products for advanced analytics and AI, aligning cross-functional roadmaps, and leading teams through complex global transformation initiatives.

Location: Can be based in South San Francisco, California, United States, or Basel, Switzerland. Relocation benefits are not available. Regular business travel is required.

Salary: $198,200–$368,200 USD annual, with a potential discretionary annual bonus.

Company

A biotechnology organization focused on groundbreaking science, medicines, and solutions for serious and life-threatening diseases.

What you will do

• Define and guide the global data management strategy, integration roadmap, and enterprise data backbone.
• Lead the design and implementation of master data management across customer, product, patient, and commercial domains.
• Develop data products supporting customer segmentation, resource optimization, content management, next-best actions, analytics, and AI.
• Own product prioritization, release sequencing, experimentation, adoption metrics, and business impact measurement.
• Collaborate with global functions, affiliates, technology teams, product owners, and external vendors on data initiatives and change management.
• Build, lead, coach, and develop a diverse team while managing budgets, resources, and portfolio trade-offs.

Requirements

• Bachelor’s degree in computer science, engineering, healthcare information systems, or a related technical discipline; an MBA or graduate degree is preferred.
• 10+ years of experience in data management, particularly commercial data management solutions.
• Strong understanding of pharmaceutical data ecosystems at global, regional, and country levels.
• Experience owning the full data product lifecycle, including vision, roadmap, execution, and impact measurement.
• Experience with MDM platforms such as Reltio or Informatica Cloud, CRM platforms such as Veeva or Salesforce, and marketing automation platforms such as Adobe.
• Understanding of cloud-based Data Mesh architectures, platforms such as Redshift, Snowflake, or Databricks, DevOps, and agile delivery.

Nice to have

• MBA or another related graduate-level degree.
• Experience applying machine learning and AI to commercial data products.
• Experience mentoring teams in agile best practices.

Culture & Benefits

• Work in a diverse and inclusive environment focused on collaboration, innovation, and measurable impact.
• Collaborate across global pharmaceutical, medical affairs, technology, data governance, and analytics functions.
• Regular internal and external business travel is part of the role.
• Benefits are provided for the position, and a discretionary annual bonus may be available based on individual and company performance.