CDnA - MarSci Operations Associate Director

Career Category

Sales & Marketing Operations

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.

CDnA - MarSci Operations Associate Director

What you will do

Let’s do this. Let’s change the world! Amgen Data Science department is seeking a US-based Associate Director of Marketing Science Operations to lead our globally distributed Business Intelligence (BI) operations team. This role is responsible for driving global BI delivery excellence, data quality rigor, and the integration of advanced analytics and AI technologies into our reporting ecosystem.

You will play a central role in transforming BI operations into a scalable, automated, and innovation-forward capability that supports decision-making across functions. In addition to ensuring operational stability and consistency, this role will champion the adoption of AI-assisted analytics, automated data pipelines, and emerging technologies that elevate our analytical maturity.

This is a Flexible Commuter role based at Amgen’s Thousand Oaks, CA, or Deerfield, IL office, requiring on-site presence 2–3 days per week.

Key Responsibilities

• Lead and mentor BI Engineering Leads and their teams based in Portugal and India, fostering a culture of engineering excellence, accountability, and inclusion.

• Drive team performance using well-defined KPIs, SLAs, and delivery standards aligned to enterprise goals.

• Ensure seamless collaboration between global engineering teams and US-based business stakeholders.

• Oversee the design, development, and maintenance of scalable and secure BI solutions across multiple business domains.

• Implement modern development operations, including version control, automated testing, CI/CD pipelines, and monitoring for BI assets.

• Collaborate with teams to embed machine learning and AI-generated insights into dashboards and reporting workflows.

• Champion the adoption of emerging technologies (e.g., generative AI, LLMs, vector databases, natural language querying) to improve data access, storytelling, and user experience.

• Stay current with innovation trends in analytics and integrate applicable tools and frameworks into the BI ecosystem.

• Translate BI priorities and business goals into actionable, agile delivery plans for execution by offshore teams.

• Collaborate with Architecture, Platform Engineering, and Governance functions to ensure compliance, scalability, and technical alignment.

• Champion a product-oriented delivery model and agile methodology across offshore BI teams.

• Promote self-service BI through the development of governed, business-friendly data models and semantic layers.

• Drive process improvements and tooling enhancements to maximize development efficiency and business impact.

What we expect of you

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

Basic Qualifications:

Doctorate degree and 3 years of data engineering, science and/or operations experience

Or

Master’s degree and 5 years of data engineering, science and/or operations experience

Or

Bachelor’s degree and 7 years of data engineering, science and/or operations experience

Or

Associate’s degree and 12 years of data engineering, science and/or operations experience

Or

High school diploma / GED and 14 years of data engineering, science and/or operations experience

Preferred Qualifications:

• 8+ years of experience in data/BI engineering, data operations, or analytics delivery.

• Extensive experience with SQL, Python and similar programming languages

• Understanding of best practice