Senior Manager, Data & Analytics

Join Amgens Mission of Serving Patients

At Amgen if you feel like youre part of something bigger its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do.

Since 1980 weve helped pioneer the world of biotech in our fight against the worlds 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 youll 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 youll 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

Lets do this. Lets change the 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 assigned initiatives from discovery through delivery adoption and value realizationtranslating business priorities into scalable data analytics reporting and AI-enabled solutions.

You will partner with Business Owners EDSE Platform Engineering Governance Architecture Agile/PMO and Amgen GCC Engineering teams to define outcomes shape roadmaps and delivery plans manage dependencies and deliver measurable business value. Operating at the intersection of business strategy and technology you will co-lead with Business Owners and Technical Product Owners/engineering leads to deliver incremental value through an outcome-based roadmap and prioritized backlog.

The successful candidate will bring the technical depth to lead solutions using Databricks AWS Power BI and other EDSE strategic platforms through solution design build testing release adoption and ongoing enhancement. The ideal candidate is an outcome-oriented leader with life sciences experience strong business acumen and credible data and analytics delivery expertise.

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

Identify evaluate and scale innovative data analytics and AI-enabled capabilities that improve decision-making productivity automation and business outcomes.

Lead the delivery of reusable data products that enable governed discoverable high-quality and scalable use of enterprise data.

Partner with EDSE and AIN Engineering teams to evaluate and apply agentic data-engineering capabilities including automated data pipeline development data-quality monitoring metadata and documentation generation observability and issue resolution where appropriate.

Balance innovation with enterprise standards for architecture security privacy compliance reliability cost and operational support.

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

Masters degree and 6 years of experience in Data Engineering Information Systems Business Engineering Data & Analytics or a related field

OR

Bachelors degree and 8 years of experience in Data Engineering Information Systems Business Engineering Data & Analytics or a related field

OR

Associates 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 leading cross-functional data and analytics initiatives from discovery through production delivery adoption and ongoing support.

Demonstrated experience delivering solutions using Databricks AWS Power BI and related data analytics cloud integration or visualization technologies.

Ability to translate business needs into product requirements delivery plans measurable outcomes and production-ready solutions.

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

Preferred Qualifications:

Experience leading enterprise-scale data analytics reporting AI or digital-product initiatives in a complex matrixed organization.

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

Experience developing or delivering reusable enterprise data products including governed datasets data pipelines semantic models APIs or analytics products.

Experience with AI-enabled or agentic data-engineering capabilities such as intelligent pipeline automation data-quality remediation metadata generation data observability or AI-assisted engineering workflows.

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 well 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.

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.

Salary Range