Senior Digital Product Strategy and Innovation Manager – AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Spearhead the identification, framing, prioritization, and validation of AI-driven business prospects across Amgen.

• Assess data foundations, system integrations, architectural patterns, model capabilities, security measures, and operational support for AI initiatives.

• Partner with data scientists, ML engineers, data engineers, software engineers, solution architects, platform teams, and cybersecurity colleagues.

• Design and implement discovery sprints, prototypes, pilots, user research, and experimental studies.

• Evaluate the potential value creation through LLMs, AI agents, machine learning, NLP, automation, knowledge retrieval, analytics, and intelligent workflows.

• Formulate product requirements that encompass user experience, data accessibility, model performance, explainability, reliability, latency, integrations, governance, and measurement.

• Consolidate validation results into product recommendations, opportunity briefs, technical feasibility evaluations, business cases, and executive communications.

• Counsel senior leaders on investment strategies, prioritization, scaling, and project termination decisions.

• Oversee a portfolio of AI projects across discovery, prototype, pilot, and scale-readiness phases.

• Integrate responsible AI practices, privacy, model risk, cybersecurity, compliance, regulatory considerations, human oversight, change management, and scalability into initiatives.

• Lead executive and cross-functional decision-making forums, providing clarity in ambiguous and high-stakes situations.

• Transform business priorities, emerging AI capabilities, technology strategies, and portfolio insights into strategic product opportunities.

• Offer product leadership, mentorship, and strategic partnership to product managers and cross-functional teams.

• Serve as a thought leader in AI product management, translating emerging AI capabilities into an enterprise product strategy.

⛳️ Requirements

• Doctorate degree with 2 years of experience in Information Systems, Technology, Product, Digital, AI, Data, Business Transformation, or a related field; OR Master's degree with 6 years; OR Bachelor's degree with 8 years; OR Associate's degree with 10 years; OR High school diploma/GED with 12 years of relevant experience.

• At least 2 years of experience in direct people management or leadership roles overseeing teams, projects, programs, or resource allocation.

• A minimum of 4 years in product management, product strategy, innovation, consulting, digital transformation, or a related area.

• Over 2 years of experience with AI, machine learning, data products, automation, LLMs, agents, NLP, analytics, or enterprise AI solutions.

• Capable of functioning effectively in high-ambiguity environments and independently framing complex challenges.

• Experience guiding AI or data products through discovery, validation, investment decisions, and scaling processes.

• Knowledge of generative AI, LLMs, retrieval-augmented generation, AI agents, prompt engineering, model orchestration, NLP, predictive analytics, or intelligent automation.

• Understanding of data architecture concepts, including data pipelines, data lakes, data warehouses, APIs, metadata, master data, data governance, and data quality.

• Proven ability to shape product strategy and make investment decisions concerning enterprise AI platforms and capabilities.

• Proficient in leading cross-functional product decisions across business, engineering, architecture, data, security, and governance teams.

• Experience in establishing and directing product discovery and experimentation methodologies across multiple complex initiatives.

• Ability to assess AI opportunities based on desirability, feasibility, viability, value, risk, scalability, and data readiness.

• Experienced in developing business cases, opportunity assessments, technical feasibility summaries, executive narratives, or investment recommendations.

• Familiarity with biotech, pharmaceutical, R&D, manufacturing, medical, or enterprise business workflows.

• Skilled in influencing senior executives and driving decisions through clear product narratives, recommendations, and supporting evidence.

• Hands-on experience analyzing user feedback, usage data, workflow metrics, model outputs, experiment results, or AI product performance.

• Comfortable working in fast-paced, cross-functional environments where priorities may shift rapidly.

🏝️ 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.

• Discretionary annual bonus program.

• Stock-based long-term incentives.

• Award-winning time-off plans.

• Flexible work models where feasible.

• Career development opportunities.

• Financial plans offering options to save for retirement or other goals.

• Support for work/life balance.