Senior Digital Product Manager, Clinical Operation

Typical Accountabilities

• Product Strategy & Vision: Define and champion the product development for AI/digital solutions in clinical operations, aligning with broader R&D and business goals. Conduct market research, competitive analysis, and user research to identify opportunities and unmet needs for AI applications in areas such as patient recruitment, site selection, clinical document management, and trial monitoring.
• Product Lifecycle Management: Manage the end-to-end product lifecycle from ideation, through development, to launch, and post-launch optimization for AI-driven solutions. Gather and prioritize product and user requirements, translating them into clear and actionable product specifications, user stories, and acceptance criteria. Work closely with data science and engineering teams to ensure successful development and timely delivery of AI/digital products. Define and monitor key product performance indicators (KPIs) and user feedback to drive continuous improvement and iterate on product features.
• Cross-functional Collaboration & Stakeholder Management: Collaborate effectively with internal stakeholders across clinical operations, IT, BPO, legal, compliance and other relevant functions to ensure alignment and successful product adoption. Communicate product vision, progress, and challenges to stakeholders at various levels. Facilitate change management and drive adoption of new AI/digital solutions within clinical operations.
• Innovation & Domain Expertise: Stay abreast of the latest advancements in AI/ML technologies, data science, and their applications within the pharmaceutical industry, particularly in clinical operation. Understand the regulatory landscape (e.g. data privacy) impacting AI/digital solutions in clinical operations. Identify and evaluate opportunities for process optimization and innovation within clinical operations through the application of AI.

Education, Qualifications, Skills and Experience

Essential

Education & Experience:

• Bachelor's degree in a relevant field such as Computer Science, Engineering, Data Science, Biotechnology, Pharmacy, Life Sciences or a related discipline.
• Proven experience (typically 5+ years) in product management, with a focus on AI, data-driven products, or technology solutions.
• OR relevant experience in clinical operations project management, clinical data management, or other R&D functions within the pharmaceutical/biotech industry coupled with a strong aptitude and passion for AI and technology.

Skills & Knowledge:

• Strong understanding of product management principles and methodologies (e.g., Agile, Scrum).
• Fundamental understanding of AI concepts, machine learning, data analytics, and their applications.
• Excellent analytical, problem-solving, and strategic thinking skills.
• Exceptional communication, presentation, and interpersonal skills, with the ability to articulate complex concepts to both technical and non-technical audiences.
• Proven ability to collaborate effectively with and influence cross-functional teams without direct authority.
• Ability to translate business needs or IT capabilities into product requirements and technical specifications.
• Understanding of the drug development process and clinical trial lifecycle.
• Fluent in both oral and written English.

【AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law. AstraZeneca only employs individuals with the right to work in the country/ies where the role is advertised. 阿斯利康是一家提供平等机会的企业，我们将考虑所有符合条件的求职者就业。不因残疾、性别或性取向、怀孕或产假状况、种族或民族或族裔出身、年龄、宗教或信仰、性别认同或变更、婚姻或伴侣关系、受保护的退伍军人身份（如果适用）及任何其他受法律保护的特征而产生歧视。】

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.