Sr. Manager – Enterprise Data Science and AI Platform

US - California - Thousand Oaks - Field/Remote

Amgen

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics.

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Career Category

Information Systems

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.

Enterprise AI and Data Science Platform Technical Product Owner

What you will do

Let’s do this. Let’s change the world. In this vital role you will be responsible for leading the strategic development, deployment, and management of the organization's AI and data science platform. This role is pivotal in enabling acceleration of enterprise's AI and data science initiatives, ensuring that the platform supports large-scale data processing, advanced analytics, machine learning, and AI model deployment. The ideal candidate will have extensive experience in ML and AI development life cycle and a good understanding of enterprise-level AI needs. This role requires close collaboration with data scientists, AI specialists, engineers, and business leaders to ensure the platform delivers maximum value across the organization.

Key Responsibilities:

  • Strategic Platform Development:
  • Lead the architecture, design, and implementation of the enterprise AI and data science workbench platform, ensuring it meets the current and future needs of the organization.
  • Develop and execute a roadmap for the platform that aligns with the organization's AI and data science strategies, ensuring scalability, security, and performance.
  • Collaborate with key stakeholders to define the platform’s role in achieving the organization's strategic objectives and driving business value.
  • AI & Data Science Enablement:
  • Enable data scientists, AI builders, and business analysts to build, deploy, and scale AI models and applications efficiently.
  • Enable development and deployment of machine learning workflows, and AI model deployment processes on the platform.
  • Support the integration of the platform with other enterprise systems and tools like Enterprise Data Fabric, Data Market Place ensuring seamless data flow and accessibility.
  • Platform Management & Optimization:
  • Monitor platform performance, usage, and costs, implementing improvements and optimizations to ensure efficiency and scalability.
  • Engage with technology vendors like Databricks, AWS, Google Vertex ensuring the organization uses the latest features, updates, and best practices.
  • Ensure the platform is secure and aligned with industry standards and regulations, implementing robust governance and security practices.
  • Collaboration & Stakeholder Engagement:
  • Foster strong partnerships with multi-functional teams, including data science, AI, engineering, IT, and business units, to understand their needs and priorities.
  • Engage with business partners and lead advisory engagements to seek advice, find opportunities and establish partnerships.
  • Lead Go to Market activities to engage, educate and promote platform capabilities, benefits, and value to users and drive adoption
  • Innovation & Continuous Improvement:
  • Stay abreast of emerging trends and technologies in AI, machine learning, and data science, and evaluate their potential impact on the platform.
  • Drive innovation by recommending and implementing new tools, technologies, and methodologies that enhance the platform's capabilities.
  • Lead initiatives to integrate Artificial Intelligence driven solutions and automation into the platform, improving efficiency and scalability.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The product owner professional we seek is a critical thinker with these qualifications.

Basic Qualifications:

Doctorate degree and 2 years of Information Technology experience

Or

Master’s degree and 6 years of Information Technology experience

Or

Bachelor’s degree and 8 years of Information Technology experience

Or

Associate’s degree and 10 years of Information Technology experience

Or

High school diploma / GED and 12 years of Information Technology experience

In addition to meeting at least one of the above requirements, you must have a minimum of 2 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources. Your managerial experience may run concurrently with the required technical experience referenced above

Preferred Qualifications:

  • Outstanding collaboration and communication skills, with the ability to engage effectively with both technical and non-technical stakeholders.
  • 3+ years of experience in data science, AI, or Product management
  • Excellent leadership and project management skills, with the ability to manage complex AI projects and lead cross-functional data science and AI teams.
  • Experience with DataBricks, or AWS Sagemaker
  • Consistent track record of successfully implementing and managing enterprise-scale AI and data science platforms in cloud environments.
  • Experience in managing full stack software applications
  • Good understanding of AI and machine learning concepts, frameworks, and model deployment practices.
  • Strong analytical and problem-solving skills, with the ability to make data-driven decisions and optimize platform performance.

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.

careers.amgen.com

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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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Salary Range

155,893.00 USD - 185,859.00 USD
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Tags: Architecture AWS Databricks Engineering Machine Learning Model deployment Research SageMaker Security Vertex AI

Perks/benefits: Career development Competitive pay Equity / stock options Flex vacation Health care Insurance Salary bonus Startup environment

Regions: Remote/Anywhere North America
Country: United States

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