Roles & Responsibilities:
- Lead product discovery with internal customers to identify high-impact problems and shape data-driven solutions.
- Define product strategy and roadmap aligned with Amgen's enterprise data and AI priorities.
- Own and execute go-to-market strategies to ensure successful product adoption and business impact.
- Leverage AI tools and rapid prototyping techniques to validate and refine product concepts.
- Translate business insights into clear, actionable product specifications for engineering teams.
- Track product outcomes using measurable KPIs, focusing on delivered value over output.
- Collaborate with business and technology stakeholders to position data and AI capabilities effectively.
- Mentor and support Product Analysts while contributing to the growth of Amgen's internal product management practice.
- Ensure solution alignment and timely delivery by working closely with cross-functional engineering and delivery teams.
- Support strategic alignment of product direction with broader enterprise data strategy.
- Contribute to building a high-performing internal product team and establish best practices in product lifecycle management.
Basic Qualifications:
- Bachelor's, Master's, or Doctorate degree in a relevant field.
- 12 to 17 years of experience in Information or Technology Systems.
Must-Have Skills:
- End-to-end product lifecycle management, AI-driven product innovation, go-to-market strategy, business & technical stakeholder collaboration, data/AI platform familiarity, agile delivery experience, project management, autonomous execution, cross-functional alignment.
Preferred Qualifications:
- Product management experience in data, AI, or related technology platforms.
- Proven ability to define and align product strategy with organizational goals.
- Experience with Agile methodologies such as Scrum or SAFe.
- Strong problem-solving and critical thinking abilities.
- Familiarity with cloud platforms, data ecosystems, and BI tools.
- Experience leading matrixed teams and collaborating across data & AI domains.
- Background in biotech/pharma is a plus.
Soft Skills:
- Excellent presentation and public speaking skills
- Strong analytical and decision-making ability
- Effective communicator with global, virtual teams
- Self-motivated and proactive
- Able to manage multiple priorities in a fast-paced environment
- Collaborative and team-oriented mindset
