Amgen - Thousand Oaks, CA
posted about 2 months ago
At Amgen, we are seeking a Digital Product Manager who specializes in facilitating team adoption of digital tools, enhancing customer engagement, and integrating Electronic Lab Notebooks (ELN) into our data workflows. This role is ideal for an individual who combines a strong background in business analysis with a deep expertise in data querying, data visualization creation, data analytics, and the utilization of reference data. The successful candidate will be adept at nurturing customer relationships and will play a key role in guiding our organization through the digital transformation process, focusing particularly on the continuing of digitizing testing workflows. The Digital Product Manager will be instrumental in driving the acceptance and effective use of digital tools within the team, including ELNs, Data Lakes, and reference data which are critical for improving data traceability and reproducibility. They will work closely with both internal stakeholders and external clients to understand business needs and workflow challenges, ensuring that digital solutions are tailored to meet these requirements. This role will lead efforts to build and maintain a digital thread across testing and data analytics, leveraging reference data to enhance analytical accuracy and insights, ensuring seamless data integration and accessibility. Additionally, the Digital Product Manager will mentor junior Data Scientists in customer engagement skills and lead cross-functional teams. Key responsibilities include providing training and ongoing support to team members and internal stakeholders on the use of digital tools, leading the implementation and effective use of digital tools within the team, leveraging reference data effectively to enhance the accuracy and depth of data analytics, overseeing the maintenance of a digital thread across testing and data analytics, and engaging with internal and external stakeholders to understand their challenges and requirements. The role also involves executing complex data queries to extract, clean, and manipulate data from various sources, ensuring the data is usable for detailed analysis and reporting.