Digital Product Manager

Amgen - Thousand Oaks, CA

Full-time - Mid Level

Remote - Thousand Oaks, CA

Chemical Manufacturing

About the position

At Amgen, we are seeking a Digital Product Manager who will play a pivotal role in facilitating the adoption of digital tools, enhancing customer engagement, and integrating Electronic Lab Notebooks (ELN) into our data workflows. This position is designed for an individual with a robust background in business analysis and a deep expertise in data querying, data visualization, and data analytics. The successful candidate will be passionate about transforming data into actionable insights and will have a proven track record of helping teams embrace technological advancements. In this role, 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 essential for improving data traceability and reproducibility. The individual will collaborate 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 position will also involve leading efforts to build and maintain a digital thread across testing and data analytics, leveraging reference data to enhance analytical accuracy and insights, and ensuring seamless data integration and accessibility. The Digital Product Manager will provide training and ongoing support to team members and internal stakeholders on the use of digital tools, promoting continuous learning and development within the team. They will lead the implementation and effective use of digital tools, oversee the maintenance of a digital thread across testing and data analytics, and engage with stakeholders to understand their challenges and requirements. This role will also involve executing complex data queries to extract, clean, and manipulate data from various sources, ensuring the data is usable for detailed analysis and reporting.

Responsibilities

• Provide training and ongoing support to team members and internal stakeholders on the use of digital tools, promoting continuous learning and development within the team.
• Lead the implementation and effective use of digital tools within the team, Electronic Lab Notebooks (ELNs) and Reference data, to ensure smooth integration and adoption.
• Leverage reference data effectively to enhance the accuracy and depth of data analytics, providing more robust and insightful analytical outcomes.
• Oversee the maintenance of a digital thread across testing and data analytics, ensuring comprehensive integration and accessibility of data throughout combination product.
• Lead cross-functional teams, including DTI, Quality, and vendors, to develop strategies that align with organizational goals and ensure the seamless integration of digital tools.
• Utilize and drive Agile project methodologies throughout the project lifecycle, ensuring flexible, efficient, and effective project management and implementation.
• Engage with internal and external stakeholders to understand their challenges and requirements, tailoring digital solutions to meet these specific needs.
• Provide leadership and expertise in data science initiatives, driving the development and implementation of data-driven projects and innovations.
• Execute complex data queries to extract, clean, and manipulate data from various sources, ensuring the data is usable for detailed analysis and reporting.

Requirements

• High school diploma / GED and 10 years of Engineering experience OR Associate's degree and 8 years of Engineering experience OR Bachelor's degree and 4 years of Engineering experience OR Master's degree and 2 years of Engineering experience OR Doctorate degree.
• M.S. or Ph. D. in engineering, Mechanical, Biomedical or Chemical.
• 2-3 years of experience driving the implementation and adoption of digital tools such as Electronic Lab Notebooks (ELN), Data Lakes, and other relevant technologies.
• At least 3 years of demonstrated experience engaging directly with customers to understand their technical needs and challenges, providing excellent customer service, and driving successful technology adoption.
• Proven ability to communicate complex technical information clearly and concisely to non-technical audiences.
• At least 5 years of professional experience in data analysis, demonstrating proficiency in managing large datasets and extracting meaningful insights.
• Ability to translate business requirements into non-technical terms and develop data-driven strategies that align with organizational goals.
• High level of competence in SQL, Python, R, or other data manipulation languages.
• Skilled in using tools like Tableau, Power BI, or similar, to create impactful data visualizations that communicate complex analyses clearly.
• Familiarity with Agile methodologies and experience managing projects using Agile to ensure flexible and efficient project delivery.
• Strong leadership skills with the ability to train, guide, and motivate team members, along with excellent communication skills to effectively collaborate with various stakeholders.

Benefits

• Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan.
• Stock-based long-term incentives.
• Award-winning time-off plans and bi-annual company-wide shutdowns.
• Flexible work models, including remote work arrangements, where possible.