Do you want to make a meaningful impact on patient health around the world? Are you motivated by working in a fast‑paced environment that connects Commercial priorities with data engineering, analytics and AI?

Join Pfizer Digital & Technology’s Commercial Analytics organization, where data underpins critical decision making and improved experiences for patients and healthcare professionals. Our community of data engineering, data science, analytics and AI professionals is accelerating Pfizer’s transformation into a data and analytics enabled organization, applying advanced analytics to change patients’ lives.

The Commercial Analytics team partners with the Pfizer Commercial organization as experts in data product design, development and delivery, enabling scalable, trusted insights that drive measurable commercial impact across markets.

As a Senior Product Owner for International Commercial Data Products, you will own the vision, roadmap and delivery of data products that inform critical commercial decisions across International markets. You will work closely with senior Commercial stakeholders to translate priority business questions into scalable, trusted data products that deliver clear business value.

Operating at the intersection of Commercial strategy, analytics and technology, you will lead data products from discovery through delivery, launch and continuous improvement. Success in this role is defined by adoption at scale, demonstrable business impact and the ability to convert complex commercial needs into reusable data products.

You will act as the single point of accountability for your assigned data products, orchestrating delivery across data engineering, analytics and platform teams. You will champion strong product management practices, data governance and data quality standards, ensuring products are designed to scale across markets and endure beyond individual initiatives.

This role offers the opportunity to shape how data and analytics are used across International Commercial markets, influencing decision making across diverse regions while building reusable and trusted data products.