Senior Digital Product Manager, Forecasting
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Job Description
Digital Product Manager leading forecasting and decision-support products at Amgen, a biotechnology company. Translating analytics, AI, and business strategy into scalable digital tools.
Responsibilities:
- Lead the strategy, discovery, development, and adoption of digital products that improve forecasting, planning, scenario evaluation, and complex business decision-making
- Translate Amgen’s digital strategy into product visions, roadmaps, prioritized backlogs, and measurable outcomes
- Understand customer decisions, workflows, assumptions, and planning challenges across Commercial, Supply Chain, Manufacturing, Finance, and R&D
- Frame complex business problems as product opportunities involving forecasting, optimization, simulation, scenario planning, automation, or AI-enabled decision support
- Partner with business leaders, data scientists, engineers, architects, and designers to develop scalable digital products
- Make assumptions, uncertainty, tradeoffs, and model outputs understandable and actionable
- Monitor model performance, adoption, and business outcomes
- Influence senior stakeholders and align cross-functional teams around product vision, roadmap, and success measures
- Identify opportunities for generative AI, agentic capabilities, predictive analytics, and intelligent automation while supporting responsible AI and human oversight
- Establish operating rhythms, decision rights, documentation, and communication practices for globally distributed teams
- Drive product adoption and value realization by measuring business performance, efficiency, decision-making, and user experience
- Mentor product managers and contribute to an outcome-oriented product culture
Requirements:
- Doctorate degree and 2 years of Digital Product Management experience OR Master’s degree and 6 years of Digital Product Management experience OR Bachelor’s degree and 8 years of Digital Product Management experience OR Associate’s degree and 10 years of Digital Product Management experience OR High school diploma / GED and 12 years of Digital Product Management experience
- Minimum of 2 years’ experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation of resources
- Proven digital product leadership connecting business strategy, customer needs, data and analytics, and technology
- Experience leading data-intensive, analytical, or decision-support products from discovery through launch, adoption, and scaling
- Ability to translate complex decisions, planning processes, and analytical methods into product strategies and customer experiences
- Strong customer-first and outcome-oriented mindset
- Experience applying Agile methods to multidisciplinary product, data science, and engineering teams
- Strong understanding of technology ecosystems, enterprise data platforms, and digital architecture principles
- Experience with forecasting, predictive analytics, optimization, simulation, scenario planning, machine learning, or other advanced analytical capabilities
- Ability to partner with data scientists and technical teams and communicate model outputs, uncertainty, and limitations to nontechnical stakeholders
- Experience in pharmaceutical, biotechnology, life sciences, healthcare, consumer products, manufacturing, supply chain, or another complex planning environment is preferred
- Ability to lead cross-functional product teams and drive execution without relying solely on formal authority
- Strong stakeholder management skills and ability to influence senior leaders and navigate competing priorities
- Exceptional communication, facilitation, and storytelling skills
- Experience working with globally distributed teams across multiple time zones
- Experience mentoring product managers or other senior individual contributors
Benefits:
- A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
- Group medical, dental and vision coverage
- Life and disability insurance
- Flexible spending accounts
- A discretionary annual bonus program
- Stock-based long-term incentives
- Award-winning time-off plans
- Flexible work models where possible
- Career development opportunities
- Work/life balance
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