Senior Digital Product Strategy and Innovation Manager – AI

Amgen

. Lead identification, framing, prioritization, and validation of AI-enabled business opportunities across Amgen .

Posted 10/7/2026full-timeRemote • United StatesSenior💰 $170,959 - $231,297 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI product management, including the ability to lead cross-functional teams, evaluate AI opportunities, and develop strategic product requirements. Proficient in navigating high-ambiguity environments and synthesizing complex data into actionable insights.

Highest-signal resume keywords

AI Product ManagementCross-Functional LeadershipData Architecture ConceptsProduct Strategy DevelopmentMachine Learning Experience

ATS Keywords

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Hard Skills

AIMachine LearningNLPData ProductsAutomationProduct ManagementData GovernanceTechnical Feasibility AssessmentsBusiness CasesExperimentation Approaches

Soft Skills

Influencing Senior ExecutivesProblem FramingCollaborationCoachingDriving Clarity

Tools & Technologies

Data PipelinesData LakesData WarehousesAPIsModel OrchestrationPredictive AnalyticsGenerative AIPrompt EngineeringIntelligent AutomationEnterprise AI Solutions

Industry Keywords

BiotechPharmaceuticalR&DManufacturingMedicalDigital TransformationBusiness TransformationEnterprise Business Workflows

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

Lead identification, framing, prioritization, and validation of AI-enabled business opportunities across Amgen
Evaluate data foundations, system integrations, architecture patterns, model capabilities, security controls, and operational support for AI opportunities
Collaborate with data scientists, ML engineers, data engineers, software engineers, solution architects, platform teams, and cybersecurity partners
Design and execute discovery sprints, prototypes, pilots, user research, and experiments
Assess how LLMs, AI agents, machine learning, NLP, automation, knowledge retrieval, analytics, and intelligent workflows can create value
Develop product requirements covering user experience, data availability, model performance, explainability, reliability, latency, integrations, governance, and measurement
Synthesize validation findings into product recommendations, opportunity briefs, technical feasibility assessments, business cases, and executive narratives
Advise senior leaders on investment, prioritization, scaling, and termination decisions
Manage a portfolio of AI opportunities across discovery, prototype, pilot, and scale-readiness stages
Incorporate responsible AI, privacy, model risk, cybersecurity, compliance, regulatory considerations, human oversight, change management, and scalability
Lead executive and cross-functional decision forums and drive clarity in ambiguous, high-impact situations
Translate business priorities, emerging AI capabilities, technology strategy, and portfolio learnings into strategic product opportunities
Provide product leadership, coaching, and thought partnership to product managers and cross-functional teams
Act as a thought leader for AI product management and translate emerging AI capabilities into enterprise product strategy

Requirements

What you’ll need

Doctorate degree and 2 years of Information Systems, Technology, Product, Digital, AI, Data, Business Transformation, or related experience; OR Master’s degree and 6 years; OR Bachelor’s degree and 8 years; OR Associate’s degree and 10 years; OR High school diploma/GED and 12 years
Minimum of 2 years of experience directly managing people and/or leadership experience leading teams, projects, programs, or directing resource allocation
4+ years of product management, product strategy, innovation, consulting, digital transformation, or related experience
2+ years of experience with AI, machine learning, data products, automation, LLMs, agents, NLP, analytics, or enterprise AI solutions
Ability to operate effectively in high-ambiguity environments and frame complex problems independently
Experience leading AI or data products through discovery, validation, investment decision, and scale
Familiarity with 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
Experience shaping product strategy and investment decisions involving enterprise AI platforms and capabilities
Ability to lead cross-functional product decisions across business, engineering, architecture, data, security, and governance teams
Experience establishing and leading product discovery and experimentation approaches across multiple complex initiatives
Ability to evaluate AI opportunities across desirability, feasibility, viability, value, risk, scalability, and data readiness
Experience 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
Ability to influence senior executives and drive decisions through clear product narratives, recommendations, and evidence
Hands-on ability to analyze user feedback, usage data, workflow metrics, model outputs, experiment results, or AI product performance
Comfort working in fast-paced, cross-functional environments where priorities evolve quickly

Benefits

Comp & perks

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 possible
Career development opportunities
Financial plans with opportunities to save towards retirement or other goals
Work/life balance support