Senior Manager, Data & Analytics

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. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. 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.

 

Senior Manager, Data & Analytics

 

What you will do

Let’s do this. Let’s change the world. In this vital role, you will serve as the business engagement and technical delivery lead for prioritized Enterprise Data Strategy & Engineering (EDSE) initiatives. You will lead the strategy, delivery, and lifecycle of enterprise data products and AI-enabled data capabilities that make trusted data easier to discover, access, reuse, and apply across Amgen.

 

You will partner with Business Owners, EDSE Platform, Engineering, Governance, Architecture, Agile/PMO, and Amgen GCC Engineering teams to translate strategic priorities into scalable data, analytics, reporting, and AI-enabled solutions. You will shape roadmaps and delivery plans, manage dependencies, and deliver measurable business value.

 

The role will help advance EDSE’s FAIR data ambition by building reusable, governed data products and modernizing delivery through Databricks, AWS, Power BI, and other EDSE strategic platforms. You will identify and scale opportunities for agentic data engineering, AI-assisted development, automated quality and observability, and intelligent data operations—while maintaining enterprise standards for security, privacy, compliance, reliability, and cost.

 

Responsibilities:

Business engagement and product strategy

·       Lead discovery with Business Owners; translate priorities into product visions, value cases, roadmaps, backlogs, and measurable success criteria.

·       Maintain alignment on priorities, scope, investment, sequencing, risks, dependencies, and trade-offs.

·       Communicate strategy, delivery progress, key decisions, and realized value to business and technical stakeholders.

 

Technical delivery leadership & innovation

·       Lead delivery of enterprise data products and analytics solutions using Databricks, AWS, Power BI, and other EDSE strategic platforms.

·       Advance FAIR data principles by ensuring products are findable, accessible, interoperable, reusable, governed, and designed for trusted consumption across business domains.

·       Define and scale innovative engineering patterns, including agentic data engineering, AI-assisted development, automated pipeline creation, metadata generation, data-quality monitoring, observability, and intelligent incident resolution.

·       Partner with EDSE and Amgen GCC Engineering teams to turn emerging AI and data capabilities into production-ready, scalable services and products.

·       Balance innovation with enterprise architecture, security, privacy, compliance, reliability, cost, and operational-support requirements.

 

Value realization and lifecycle management

·       Define and track adoption, operational, delivery, and business-value metrics for assigned initiatives.

·       Lead post-launch adoption, support, enhancement prioritization, and lifecycle management.

·       Promote reuse of EDSE platforms, shared data products, and engineering patterns to enable scalable enterprise delivery.

 

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek is an individual with these qualifications.

 

Basic Qualifications:

Doctorate degree and 2 years of experience in Data Engineering, Information Systems, Business, Engineering, Data & Analytics, or a related field

OR

Master’s degree and 6 years of experience in Data Engineering, Information Systems, Business, Engineering, Data & Analytics, or a related field

OR

Bachelor’s degree and 8 years of experience in Data Engineering, Information Systems, Business, Engineering, Data & Analytics, or a related field

OR

Associate’s degree and 10 years of experience in Data Engineering, Information Systems, Business, Engineering, Data & Analytics, or a related field

OR

High school diploma / GED and 12 years of experience in Data Engineering, Information Systems, Business, Engineering, Data & Analytics, or a related field

 

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 of resources. Your managerial experience may run concurrently with the required technical experience referenced above.

 

Required Qualifications:

·       Experience delivering data, analytics, reporting, or digital solutions in the life sciences industry, working with large global teams

·       Demonstrated experience delivering governed, reusable data products, such as curated datasets, domain data products, semantic models, data pipelines, or analytics products.

·       Experience applying FAIR data principles or comparable practices for data discoverability, accessibility, interoperability, reuse, quality, ownership, and governance in life science industry.

·       Demonstrated experience leading innovation in data engineering, analytics, AI, automation, or cloud platforms and converting pilots into scalable production capabilities.

·       Strong stakeholder-management, communication, facilitation, and decision-making skills.

 

Preferred Qualifications:

·       Experience with agentic data-engineering capabilities, including AI-assisted pipeline development, intelligent data-quality remediation, metadata and documentation generation, observability, and automated incident triage or resolution.

·       Experience developing an enterprise data-product operating model, data marketplace, data catalog, domain ownership model, or reusable data-services ecosystem.

·       Experience translating new AI and data capabilities into compliant, secure, production-grade solutions in a regulated life sciences environment.

·       Experience with Agile or scaled Agile delivery practices, including product roadmaps, backlog management, PI planning, release planning, and continuous improvement.

·       Knowledge of GxP, validation, data governance, privacy, security, and regulatory expectations relevant to life sciences data and analytics.

·       Ability to manage competing priorities, navigate ambiguity, make transparent trade-offs, and drive decisions to closure.

 

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 where possible. Refer to the Work Location Type in the job posting to see if this applies

 

Apply now and make a lasting impact with the Amgen team.

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.

 

Sponsorship

Sponsorship for this role is not guaranteed.

 

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

USD - USD