Amgen, Inc.

Lead enterprise strategy and partnerships to advance osteoporosis care through cross-functional collaboration and market-shaping initiatives. | Requires 9+ years marketing experience in healthcare or biotech with strong strategic, partnership, and communication skills. | Career Category Marketing Job Description What you will do Bone IMPACT (Igniting Momentum through Policy, Alliances, Communications, and Technology) is Amgen's enterprise above-brand strategy to advance this ambition by mobilizing partners across the healthcare ecosystem and creating the conditions that improve disease awareness, diagnosis, treatment, and fracture prevention. The Marketing Director, Bone IMPACT will lead the evolution of Amgen's enterprise market-shaping strategy for osteoporosis by identifying, prioritizing, and advancing initiatives that transform the future osteoporosis landscape. Working across Marketing, Medical, Health Systems, Government Affairs, Corporate Communications, Advocacy, Value & Access, HEOR, Legal, Regulatory, Compliance, and external stakeholders, this leader will shape strategy, build strategic partnerships, identify emerging opportunities, and align organizational capabilities to accelerate meaningful improvements in osteoporosis care, with the opportunity to build a team and develop talent as the capability expands. This is a unique opportunity to help build one of Amgen's most strategic enterprise capabilities while shaping the future of osteoporosis care for one of the largest and most underserved patient populations in healthcare. Success in this highly visible leadership role requires strategic thinking, influence without authority, external partnership leadership, and the ability to translate bold ideas into executable strategies within a complex, highly regulated environment. Key Responsibilities Lead Enterprise Strategy & Cross-Functional Leadership • Develop the long-term Bone IMPACT vision and enterprise strategy aligned with Bone Health business priorities. • Identify emerging opportunities that strengthen the osteoporosis ecosystem and accelerate disease awareness, diagnosis, treatment, and fracture prevention. • Lead above-brand market-shaping initiatives by aligning priorities across Marketing, Medical, Health Systems, Government Affairs, Corporate Communications, Advocacy, Value & Access, HEOR, and other key functions. • Establish governance and integrated planning to align initiatives, partnerships, sponsorships, and investments around shared strategic priorities. • Incubate innovative capabilities, evaluate impact, and transition mature initiatives to long-term business owners while identifying new opportunities for growth. Lead National Partnerships & Ecosystem Leadership • Build trusted relationships with national medical societies, advocacy organizations, professional associations, health systems, technology companies, policy organizations, and other influential stakeholders. • Convene strategic coalitions and partnerships that advance shared priorities through education, advocacy, innovation, and implementation initiatives. • Represent Amgen as a trusted enterprise partner committed to advancing the osteoporosis ecosystem. • Monitor the external environment to identify new partnerships, collaborations, and market-shaping opportunities. Lead Above-Brand Strategic Communications & Market Activation • Develop enterprise above-brand communication and market activation strategies that elevate osteoporosis as a national healthcare priority. • Shape evidence-based disease narratives that connect osteoporosis to broader conversations around women's health, menopause, healthy aging, longevity, and fracture prevention. • Identify opportunities to leverage strategic communications, public awareness, partnerships, thought leadership, and emerging media to accelerate stakeholder engagement and market transformation. • Partner across Brand Marketing, Corporate Communications, Medical, Advocacy, Government Affairs, Health Systems, Value & Access, and external agencies to ensure above-brand engagement strategies complement branded marketing while advancing enterprise priorities. • Lead the strategy-and, as appropriate, the development and execution-of enterprise above-brand awareness and market activation initiatives. Lead Innovation & Future Market Development • With cross-functional partners, evaluate emerging trends, AI-enabled capabilities, technologies, and strategic partnerships to identify new opportunities that transform osteoporosis awareness, patient engagement, and care delivery. • Translate external insights into business cases, pilot initiatives, and scalable enterprise strategies. • Foster a culture of innovation by identifying opportunities that position Bone IMPACT to address future market needs. Measure Impact & Optimize Strategy • Define success measures that evaluate ecosystem impact, stakeholder engagement, partnership effectiveness, market activation, and strategic progress. • Monitor performance and refine enterprise priorities based on market insights and measurable outcomes. • Manage agency partners, external vendors, and program budgets to maximize impact and return on investment. • Present strategic recommendations, market insights, and enterprise progress to senior leadership to inform business decisions and future investment priorities. •What we expect of you We are all different, yet we all use our unique contributions to serve patients. The strategic leader we seek is an enterprise thinker who thrives in ambiguity, builds trusted partnerships, and mobilizes diverse stakeholders to create meaningful change across the healthcare ecosystem. Basic Qualifications Doctorate degree and 4 years of marketing, communications, public affairs, advocacy, commercial, medical, or related biotechnology experience OR Master's degree and7 years of marketing, communications, public affairs, advocacy, commercial, medical, or related biotechnology experience OR Bachelor's degree and 9 years of marketing, communications, public affairs, advocacy, commercial, medical, or related biotechnology experience Preferred Qualifications • MBA, MPH, MHA, or other advanced degree. • 10+ years of progressively increasing responsibility within biotechnology, healthcare, advocacy, communications, consulting, or related industries. • Demonstrated success developing enterprise or above-brand strategies that influence healthcare markets beyond individual products. • Experience building strategic partnerships with national medical societies, advocacy organizations, health systems, policy organizations, technology companies, or other influential stakeholders. • Experience leading complex cross-functional initiatives and influencing senior leaders without direct authority. • Understanding of the U.S. healthcare ecosystem, including health systems, policy, advocacy, population health, quality improvement, and value-based care. • Experience leading strategic communications, public awareness, advocacy, stakeholder engagement, or market activation initiatives within healthcare or other highly regulated industries. • Demonstrated ability to identify emerging opportunities and translate insights into innovative strategies and executable business plans. • Demonstrated ability to develop market-shaping strategies while navigating legal, regulatory, and compliance requirements. • Strong executive presence with exceptional communication, facilitation, and relationship-building skills. • Proven ability to manage ambiguity, prioritize effectively, and deliver results across multiple complex initiatives. • Experience leading agencies, external partners, and cross-functional teams to achieve measurable business and patient impact. Salary Range 184,336.10USD -249,395.90 USD

Design and build scalable ML and generative AI platforms, including pipelines, microservices, and full-stack AI applications with security and observability. | 3-5 years AI/ML experience, strong Python and Java skills, containerization and cloud expertise, advanced degrees or 10+ years experience, and certifications preferred. | Career Category Information Systems Job Description Role Description: We are seeking a Sr Machine Learning Engineer-Amgen's senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms. Sitting at the intersection of engineering excellence and data-science enablement, you will design the core services, infrastructure and governance controls that allow hundreds of practitioners to prototype, deploy and monitor models-classical ML, deep learning and LLMs-securely and cost-effectively. Acting as a "player-coach," you will establish platform strategy, define technical standards, and partner with DevOps, Security, Compliance and Product teams to deliver a frictionless, enterprise-grade AI developer experience. Roles & Responsibilities: • Engineer end-to-end ML pipelines-data ingestion, feature engineering, training, hyper-parameter optimization, evaluation, registration and automated promotion-using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks. • Harden research code into production-grade micro-services, packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications. • Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency. • Optimize performance and cost at scale-selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantization/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets. • Instrument comprehensive observability-real-time metrics, distributed tracing, drift & bias detection and user-behavior analytics-enabling rapid diagnosis and continuous improvement of live models and applications. • Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams. • Contribute reusable platform components-feature stores, model registries, experiment-tracking libraries-and evangelize best practices that raise engineering velocity across squads. • Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness. • Partner with data scientists to prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs. Must-Have Skills: • 3-5 years in AI/ML and enterprise software. • Comprehensive command of machine-learning algorithms-regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques-with the judgment to choose, tune and operationalize the right method for a given business problem. • Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale. • Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel). • Proficiency in Python and Java; containerization (Docker/K8s); cloud (AWS, Azure or Google Cloud Platform) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines). • Strong business-case skills-able to model TCO vs. NPV and present trade-offs to executives. • Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives. Good-to-Have Skills: • Experience in Biotechnology or pharma industry is a big plus • Published thought-leadership or conference talks on enterprise GenAI adoption. • Master's degree in computer science and or Data Science • Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery. Education and Professional Certifications • Master's degree with 8 + years of experience in Computer Science, IT or related field OR • Bachelor's degree with 10 + years of experience in Computer Science, IT or related field • Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus. Soft Skills: • Excellent analytical and troubleshooting skills. • Strong verbal and written communication skills • Ability to work effectively with global, virtual teams • High degree of initiative and self-motivation. • Ability to manage multiple priorities successfully. • Team-oriented, with a focus on achieving team goals. • Ability to learn quickly, be organized and detail oriented. • Strong presentation and public speaking skills. Salary Range 158,606.00 USD - 200,052.00 USD