Amgen
Amgen
Amgen एक वैश्विक जैव-प्रौद्योगिकी कंपनी है, जो जीवित कोशिकाओं से बनी दवाओं का विकास और व्यावसायीकरण करती है। इसका काम गंभीर बीमारियों पर केंद्रित है, जिनमें ऐसे रोग भी शामिल हैं जिनके उपचार के विकल्प सीमित हैं। कंपनी वैज्ञानिक अनुसंधान और नैदानिक परीक्षणों के आधार पर काम करती है तथा कैंसर उपचार और मोटापे के प्रबंधन में प्रगति से जुड़ी है। Amgen नैतिक अनुसंधान, रोगी सुरक्षा और पर्यावरणीय स्थिरता पर भी जोर देती है।

Senior AI Digital Product Strategy and Innovation Manager

Lead enterprise AI product strategy at Amgen by identifying, validating, and prioritizing digital opportunities. Advise on investment, scaling, and responsible AI decisions across the portfolio.

विवरण

  • Identify, frame, prioritize, and validate AI-enabled business opportunities across Amgen
  • Assess data foundations, system integrations, architecture patterns, model capabilities, security controls, and operational support for AI initiatives
  • Partner with data scientists, ML and data engineers, software engineers, solution architects, platform teams, and cybersecurity specialists
  • Plan and deliver discovery sprints, prototypes, pilots, user research, and experiments
  • Evaluate the value of LLMs, AI agents, machine learning, NLP, automation, knowledge retrieval, analytics, and intelligent workflows
  • Define product requirements spanning user experience, data availability, model performance, explainability, reliability, latency, integrations, governance, and measurement
  • Turn validation results into product recommendations, opportunity briefs, technical feasibility reviews, business cases, and executive narratives
  • Counsel senior leaders on investment, prioritization, scaling, and discontinuation decisions
  • Oversee an AI opportunity portfolio from discovery and prototyping through pilots and scale readiness
  • Embed responsible AI, privacy, model risk, cybersecurity, compliance, regulatory requirements, human oversight, change management, and scalability
  • Facilitate executive and cross-functional decision forums and bring structure to ambiguous, high-impact challenges
  • Convert business priorities, emerging AI capabilities, technology strategy, and portfolio insights into strategic product opportunities
  • Provide product direction, coaching, and strategic partnership to product managers and cross-functional teams
  • Serve as a thought leader in AI product management and connect emerging AI capabilities to enterprise product strategy

आवश्यकताएँ

  • Doctorate degree plus 2 years of experience in Information Systems, Technology, Product, Digital, AI, Data, Business Transformation, or a related field; or a Master’s degree plus 6 years; Bachelor’s degree plus 8 years; Associate’s degree plus 10 years; or high school diploma/GED plus 12 years
  • At least 2 years of direct people management or leadership experience overseeing teams, projects, programs, or resource allocation
  • More than 4 years of experience in product management, product strategy, innovation, consulting, digital transformation, or a related discipline
  • At least 2 years of experience with AI, machine learning, data products, automation, LLMs, agents, NLP, analytics, or enterprise AI solutions
  • Ability to work independently in highly ambiguous environments and define complex problems
  • Experience taking AI or data products through discovery, validation, investment decisions, and scaling
  • Knowledge of generative AI, LLMs, retrieval-augmented generation, AI agents, prompt engineering, model orchestration, NLP, predictive analytics, or intelligent automation
  • Understanding of data architecture, including pipelines, lakes, warehouses, APIs, metadata, master data, governance, and quality
  • Experience developing product strategy and investment decisions for enterprise AI platforms and capabilities
  • Ability to lead product decisions across business, engineering, architecture, data, security, and governance functions
  • Experience creating and leading discovery and experimentation practices across multiple complex initiatives
  • Ability to assess AI opportunities for desirability, feasibility, viability, value, risk, scalability, and data readiness
  • Experience preparing business cases, opportunity assessments, technical feasibility summaries, executive narratives, or investment recommendations
  • Familiarity with biotech, pharmaceutical, research and development, manufacturing, medical, or enterprise workflows
  • Ability to influence senior executives and secure decisions through clear narratives, recommendations, and evidence
  • Hands-on experience analyzing user feedback, usage data, workflow metrics, model outputs, experiment results, or AI product performance
  • Comfort operating in fast-moving, cross-functional environments with frequently changing priorities

लाभ

  • Comprehensive employee benefits, including a Retirement and Savings Plan with substantial company contributions
  • Group medical, dental, and vision insurance
  • Life and disability insurance coverage
  • Flexible spending accounts
  • Discretionary annual bonus program
  • Stock-based long-term incentive opportunities
  • Award-winning paid time-off programs
  • Flexible work arrangements where available
  • Career development opportunities
  • Financial planning options for retirement and other savings goals
  • Work/life balance support