Commercialization Portfolio AI, Senior Manager

Career Category

Job Description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Commercialization Portfolio AI, Senior Manager

What you will do

Let’s do this. Let’s change the world. In this vital role, you will join an exciting team that drives novel approaches in decision-making, portfolio analytics and insights to maximize the value of Amgen’s pipeline.

You’re an AI/ML software engineer who is intellectually curious with a proven track-record of developing and implementing technology-centric solutions in the project and portfolio management space. We’re looking for a software development professional who is skilled and knowledgeable in portfolio management, analytics, and reporting. You bring experience implementing AI technology solutions to portfolio management and analytics within the biotechnology industry.

The Senior Manager, Commercialization Portfolio AI, reports to the Director of Amgen’s Portfolio Reporting & Systems Team within the Portfolio Management Office. We are open to discussions about location flexibility or remote work arrangements. However, due to the nature of the work, co-location with the headquarter in Thousand Oaks is preferred.

Commercialization is the framework for bringing molecules from the lab through the clinic and to patients. There are few processes that are more central to Amgen than Commercialization.

Responsibilities

• Develops and executes on Amgen’s Commercialization (CMZ) data strategy in alignment with the overall CMZ technology and reporting roadmap. Partners with cross-functional teams to translate business needs into technical solutions.
• Collaborates with Amgen’s Digital Technology & Innovation (DTI) team to implements AI/ML solutions in support of the CMZ technology roadmap and represents CMZ for enterprise-wide AI initiatives.
• Oversees development and implementation of portfolio reporting large language model (LLM) chatbot.
• Designs, builds, and optimizes AI and machine learning models to support portfolio management, forecasting, risk assessment, and decision-making.
• Develops and maintains scalable, responsive web applications and APIs for portfolio analytics and reporting. Ensures robust back-end systems that integrate AI-driven insights into organizational tools and workflows to drive efficiencies and automation.
• Provides recommendations for technical implementation of AI/ML solutions to support portfolio level decision-making and insights generation. Evaluates and improves existing AI models to enhance performance, scalability, and reliability.
• Integrates multiple cross-functional data sets into a single reporting platform.
• Generates insights and analyzes portfolio data for key decision-makers to maximize value at the asset and/or portfolio levels.
• Contributes to the creation of a high-performance operating culture throughout the organization which emphasizes teamwork, personal accountability and a winning attitude.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The software development professional we seek demonstrates high creativity; is self-directed, able to work independently, and functions effectively on multidisciplinary teams, both as participant and leader with these qualifications.

Basic Qualifications:

Doctorate degree and 2 years of relevant experience

Or

Master’s degree and 4 years of relevant experience

Or

Bachelor’s degree and 6 years of relevant experience in Computer Science, Engineering, Data Science, or a related field.

Or

Associate degree and 10 years of relevant experience in Computer Science, Engineering, Data Science, or a related field.

Or

High School Diploma / GED and 12 years of relevant experience in Computer Science, Engineering, Data Science, or a related field.

Additional Requirements

• Proficiency in programming languages such as Python, JavaScript (React, Node.js), and Java.
• Expertise in machine learning frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, etc.).
• Strong understanding of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Experience with databases (SQL, NoSQL) and data pipelines (ETL, Apache Airflow, PySpark, etc.).
• Familiarity with version control systems (Git) and CI/CD pipelines.
• Understanding of the evolving AI/ML technological landscape and utilization of these technologies within the life sciences industry. Proven track record to implement technical solutions to analyze large datasets across a broad portfolio.
• Ability to implement predictive analytic models on complex timelines, both at the project and portfolio levels.
• Excellent interpersonal communication skills, self-confidence, decisiveness, and risk-taking without being impulsive; has the presence to manage through a crisis. Advocates strategic positions in the face of uncertainty.
• Ability to generate insights and provide trade-off analyses to decision-makers to maximize value at the asset and portfolio levels on both a regional and global basis
• Independent, motivated team member proficient working within high-performance teams and a matrixed organization.

Preferred Qualifications:

• Advanced degree in Computer Science or Computer Engineering
• Certification in Decision Analysis or Decision Science
• Industry experience in the Biotechnology, Pharmaceutical, or other Healthcare-related field
• Some drug development knowledge with basic to strong understanding of other functions relevant to the position which may include: Research, Preclinical, Clinical, Manufacturing, Commercial and Regulatory
• Emotional intelligence skills including influencing without authority

Proven ability to influence and lead teams in a high-performance environment. Skilled in collaborating with business stakeholders to understand their needs and translating those needs into actionable technical requirements. This individual must possess the technical expertise to design and implement solutions, including hands-on programming and development, and take ownership of the entire end-to-end process.

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

• 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, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models, including remote and hybrid work arrangements, where possible

Apply now

for a career that defies imagination

Objects in your future are closer than they appear. Join us.

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Application deadline

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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