Digital Product Manager, Strategy and Innovation
Amgen
14 hours ago
Remote friendly (United States)
United States
IT
Digital Product Manager, Strategy and Innovation
Responsibilities:
- Identify, frame, and validate AI-enabled business opportunities; translate transformation themes into problem statements, hypotheses, user needs, data requirements, success metrics, and validation plans.
- Evaluate data foundations, integrations, architecture patterns, model capabilities, security controls, and operational support for scalable solutions.
- Collaborate with cross-functional teams (data scientists/ML engineers/data engineers/software engineers/architects/platform and cybersecurity teams) to shape solution concepts and dependencies.
- Run rapid discovery sprints, prototypes, pilots, user research, and experiments to assess desirability, feasibility, viability, value, and risk; recommend advance/pivot/pause/scale.
- Assess use of LLMs, AI agents, ML models, NLP, automation, knowledge retrieval, analytics, and intelligent workflow tools to improve productivity, decisions, discovery, efficiency, and workforce effectiveness.
- Develop product requirements covering UX, data/model performance, output quality, explainability, reliability, latency, integrations, governance, and measurement.
- Synthesize evidence into product recommendations, feasibility assessments, business cases, and executive narratives for investment decisions.
- Maintain a portfolio of experiments across discovery to scale-readiness; track progress, risks, assumptions, evidence, dependencies, architecture implications, and decision points.
- Ensure validation considers responsible AI, privacy, model risk, cybersecurity, compliance/regulatory, human oversight, change management, and enterprise scalability.
- Facilitate workshops and decision forums; communicate AI/data concepts clearly to senior and non-technical stakeholders.
Basic Qualifications:
- Doctorate degree
OR Master’s degree + 2 years related experience
OR Bachelor’s degree + 4 years related experience
OR Associate’s degree + 8 years related experience
OR High school diploma/GED + 10 years related experience
Preferred Qualifications (highlights):
- 4+ years product management/product strategy/innovation/consulting/digital transformation.
- 2+ years with AI/ML/data products/automation/LLMs/agents/NLP/analytics/enterprise AI.
- Working knowledge of AI product development (discovery, prototyping, evaluation, deployment, monitoring, iteration).
- Familiarity with generative AI/LLMs/RAG/AI agents/prompt engineering/orchestration/NLP/predictive analytics/intelligent automation.
- Data architecture knowledge (pipelines, lakes/warehouses, APIs, metadata, governance, data quality).
- Familiarity with enterprise AI platforms, MLOps, model lifecycle, responsible AI, AI governance.
- Experience with product discovery/lean startup/experimentation/pilots/POCs.
Benefits (explicitly listed):
- Comprehensive employee benefits package (retirement/savings, medical/dental/vision, life/disability, flexible spending)
- Discretionary annual bonus (or sales incentive for field sales)
- Stock-based long-term incentives
- Award-winning time-off plans
- Flexible work models where possible
Application Instructions:
- Apply via careers.amgen.com. No application deadline; they will accept applications until sufficient candidates are received or a candidate is selected.
- Sponsorship is not guaranteed.
Responsibilities:
- Identify, frame, and validate AI-enabled business opportunities; translate transformation themes into problem statements, hypotheses, user needs, data requirements, success metrics, and validation plans.
- Evaluate data foundations, integrations, architecture patterns, model capabilities, security controls, and operational support for scalable solutions.
- Collaborate with cross-functional teams (data scientists/ML engineers/data engineers/software engineers/architects/platform and cybersecurity teams) to shape solution concepts and dependencies.
- Run rapid discovery sprints, prototypes, pilots, user research, and experiments to assess desirability, feasibility, viability, value, and risk; recommend advance/pivot/pause/scale.
- Assess use of LLMs, AI agents, ML models, NLP, automation, knowledge retrieval, analytics, and intelligent workflow tools to improve productivity, decisions, discovery, efficiency, and workforce effectiveness.
- Develop product requirements covering UX, data/model performance, output quality, explainability, reliability, latency, integrations, governance, and measurement.
- Synthesize evidence into product recommendations, feasibility assessments, business cases, and executive narratives for investment decisions.
- Maintain a portfolio of experiments across discovery to scale-readiness; track progress, risks, assumptions, evidence, dependencies, architecture implications, and decision points.
- Ensure validation considers responsible AI, privacy, model risk, cybersecurity, compliance/regulatory, human oversight, change management, and enterprise scalability.
- Facilitate workshops and decision forums; communicate AI/data concepts clearly to senior and non-technical stakeholders.
Basic Qualifications:
- Doctorate degree
OR Master’s degree + 2 years related experience
OR Bachelor’s degree + 4 years related experience
OR Associate’s degree + 8 years related experience
OR High school diploma/GED + 10 years related experience
Preferred Qualifications (highlights):
- 4+ years product management/product strategy/innovation/consulting/digital transformation.
- 2+ years with AI/ML/data products/automation/LLMs/agents/NLP/analytics/enterprise AI.
- Working knowledge of AI product development (discovery, prototyping, evaluation, deployment, monitoring, iteration).
- Familiarity with generative AI/LLMs/RAG/AI agents/prompt engineering/orchestration/NLP/predictive analytics/intelligent automation.
- Data architecture knowledge (pipelines, lakes/warehouses, APIs, metadata, governance, data quality).
- Familiarity with enterprise AI platforms, MLOps, model lifecycle, responsible AI, AI governance.
- Experience with product discovery/lean startup/experimentation/pilots/POCs.
Benefits (explicitly listed):
- Comprehensive employee benefits package (retirement/savings, medical/dental/vision, life/disability, flexible spending)
- Discretionary annual bonus (or sales incentive for field sales)
- Stock-based long-term incentives
- Award-winning time-off plans
- Flexible work models where possible
Application Instructions:
- Apply via careers.amgen.com. No application deadline; they will accept applications until sufficient candidates are received or a candidate is selected.
- Sponsorship is not guaranteed.