Job Description

Support work to set the vision and strategy for data products across Global Supply Chain, guided by a clear understanding of business value and customer needs. Translate business needs into requirements as input into the design, build, and iteration of the data product. Create and maintain data product roadmaps, leading the ongoing delivery and management of the product from inception to maturity. Act as the voice of the business to prioritize building what matters most to enable the strategic goals of the enterprise. Own and manage a feature backlog, teaming with architects, analysts, and engineers to elaborate requirements. Collaborate with the IT organization to ensure appropriate resourcing and prioritization to meet business timelines. Own and manage the business metadata and metrics for their data products. Engage and collaborate with partners and stakeholders to gather input and communicate plans, timelines, and deliveries. Champion agile, iterative development processes while ensuring data products are Findable, Accessible, Interoperable, and Reusable. Essential Skills/Experience Understanding of the principles of Data Product Management, ideally having worked in a similar Data Product Manager role Supply Chain Management knowledge Familiarity with data engineering concepts such as ETL, data modelling, data lakes/databases, reference data, master data etc Experience leading or working on agile development teams Requirements development and prioritization skills Excellent leadership, communication, influencing, and stakeholder management skills Experience establishing, communicating, and executing product roadmaps Strong analytical and problem-solving abilities with the ability to make data-driven decisions Desirable Skills/Experience Experience of working in a global organization where partners and project teams are geographically dispersed bachelors degree or higher in a scientific or technical subject area Relevant experience in the pharmaceutical industry Ability to work in a fast-paced, dynamic environment and manage multiple streams of work simultaneously Familiarity with data science, data visualization, and reporting concepts