Senior Director , International Commercial Data Products, Services & Solutions

Merck Merck · Pharma · Singapore

This role leads the end-to-end portfolio of commercial data products and services for the Human Health organization globally. It involves defining strategy, delivery, quality, and adoption of data assets supporting marketing, sales, market access, and other HH teams. The role requires partnering with various teams to understand data solution needs, manage demand, negotiate timelines, and deliver services. A key responsibility is ensuring the data ecosystem is AI and Gen AI ready, and leveraging AI/agentic AI for automation and reimagining the data product lifecycle. The leader will also collaborate on best practices for data product management and scaling, and ensure data governance, privacy, and compliance (HIPAA, CCPA/CPRA) are embedded in product design.

What you'd actually do

  1. Define and execute a commercial data product portfolio strategy that prioritizes high‑value use cases, drives ROI on third‑party spend and unlocks first‑party data value.
  2. Develop and manage data product solutions (Analytical ready data sets and Solution ready data sets) to enable HH capabilities & solutions.
  3. Ensure the data across our eco-system is AI ready with the right meta data, semantics and context.
  4. Enables out of the box systematized insights to support our inline and launch portfolio.
  5. Knowledge and experience leveraging AI and agentic AI to drive task automation, process automation and, if necessary, complete reimagination of the ideation to development to deployment and enablement process of the data product life cycle.

Skills

Required

  • Strategic understanding of business portfolio and ability to anticipate data gaps/opportunities
  • Strategic planning and prioritization of demand and innovation
  • Risk mitigation strategies
  • Attract, develop and grow talent and lead large and high performing cross functional teams
  • Collaborate with cross functional teams
  • Operate independently and be accountable for delivery excellence, timelines, quality and financial stewardship
  • Leading teams with an AI native mindset
  • Experience in working with enterprise/central data functions
  • Understanding of how data layers support downstream use cases
  • Hands-on experience with developing data platforms, including FAIR, consented, & payer data integration
  • Deep expertise in commercial pharma data domains with extensive experience in applied data

Nice to have

  • AI
  • Gen AI
  • agentic AI
  • data governance
  • data quality
  • privacy
  • compliance

What the JD emphasized

  • AI and gen AI ready
  • AI and agentic AI
  • data product life cycle
  • AI native mindset
  • HIPAA
  • CCPA/CPRA

Other signals

  • AI and gen AI ready data ecosystem
  • AI and agentic AI to drive task automation
  • data product lifecycle
  • AI native mindset