Principal Business Analyst Manufacturing Data and AI

Career Category

Job Description

What You Will Do

Lets do this. Lets change the world.

At Amgen Ireland we are accelerating the transformation of our manufacturing operations through advanced Data & Analytics AI/ML and Digital Automation. We are seeking a senior digital leader to partner closely with site leadership and drive the next generation of smart manufacturing capabilities.

This is not a traditional business analyst role. It is a Principal-level position responsible for shaping complex digital initiatives navigating high-ambiguity operational challenges and ensuring AI and analytics solutions deliver measurable compliant and sustainable value in a regulated manufacturing environment.

You will operate at the intersection of Operations Engineering Quality and Technology influencing decisions guiding solution design and elevating digital maturity across the site.

Work Model

At Amgen we support flexible work arrangements that enable both high performance and personal well-being.

This role operates within a hybrid model; however due to the nature of manufacturing operations and the need for close partnership with site stakeholders regular and consistent on-site presence at our Dun Laoghaire facility is required.

In-person engagement is essential to lead complex workshops support operational deployments and collaborate effectively in a regulated production environment. Candidates should be able to maintain meaningful on-site presence aligned with business and operational needs.

Who You Are

You are a seasoned digital transformation professional who thrives in complex manufacturing environments. You bring both credibility and calm to high-pressure situations able to challenge assumptions while building trust with senior stakeholders.

You are equally comfortable framing a strategic digital roadmap as you are deconstructing a complex operational problem into structured solvable components. You understand that innovation in regulated manufacturing requires discipline cybersecurity awareness and rigorous lifecycle management not just good ideas.

Most importantly you are motivated by impact. You want to see analytics and AI move beyond pilots and into real production-critical workflows that improve output quality reliability and compliance.

• Lead collaboration with Manufacturing Engineering Quality and other local teams to structure complex operational challenges into clear digital analytics and automation opportunities.

• Drive advanced business process mapping value stream analysis and structured problem framing to enable scalable Data AI/ML and Digital Automation solutions.
• Shape and oversee the development lifecycle of analytics and AI initiatives from use case definition and MVP framing through industrialisation and operational deployment.
• Partner with data scientists data engineers and platform teams (local and global) to translate business requirements into robust production-ready solutions leveraging modern data platforms machine learning and Generative AI capabilities.
• Ensure Agile ways of working are effectively applied guiding backlog prioritization user story refinement and value-driven delivery across cross-functional teams.
• Influence solution design to ensure analytics AI models and visualizations are intuitive trusted compliant and embedded within manufacturing workflows.

What We Expect of You

Required Experience and Skills

• Bachelors degree in Computer Science Engineering Data Science or a related discipline with 10 years of experience in Information Systems Digital Data & Analytics or Technology roles including significant experience in manufacturing or regulated environments.
• Demonstrated success leading complex cross-functional digital analytics or AI initiatives from problem framing through industrialised deployment.
• Deep expertise in business analysis advanced process mapping and value-driven solution design within manufacturing or operations environments.
• Strong understanding of modern data ecosystems including data engineering concepts analytics platforms cloud-based architectures and AI/ML solution lifecycles.
• Working knowledge of programming and analytics technologies (e.g. SQL Python data visualization tools) sufficient to credibly challenge guide and influence technical teams without necessarily being hands-on.
• Experience operating within regulated environments (GxP data integrity validation) and ensuring digital solutions meet compliance cybersecurity and SDLC standards.
• Proven ability to navigate ambiguity manage complex stakeholder dynamics and influence senior leaders in high-pressure operational environments.
• Strong communication and storytelling skills with the ability to translate technical complexity into clear business value.
• Experience working in Agile environments guiding backlog prioritization user story refinement and value-driven delivery.
• Fluency in written and spoken English.

Preferred Experience and Skills

• Experience working with modern Big Data and cloud analytics platforms such as Databricks (preferred) or similar enterprise-scale data environments.
• Background in pharmaceutical engineering biotechnology manufacturing or regulated industrial environments with understanding of GMP operations.
• Experience applying continuous improvement methodologies (e.g. LEAN Kaizen Six Sigma) to digital or process transformation initiatives.
• Experience operating within Scaled Agile (SAFe) environments; SAFe certification is advantageous.
• Practical exposure to advanced analytics and visualization technologies (e.g. SQL Python libraries such as NumPy/SciPy/Pandas JavaScript-based visualization frameworks) enabling effective collaboration with data scientists and engineers.
• Experience shaping or scaling AI/ML initiatives including Generative AI or advanced modeling in operational environments.

What you can expect of us

As we work to develop treatments that take care of others so we work to care for our teammates professional and personal growth and well-being.

• Vast opportunities to learn develop and move up and across our global organisation
• Diverse and inclusive community of belonging where colleagues are empowered to bring ideas to the table take risks and act
• Generous Amgen Total Rewards Plan comprising healthcare finance wealth and career benefits
• Flexible work arrangements aligned to role and business needs