Senior Director - Enterprise AI Platforms

AstraZeneca; Barcelona; Híbrido; EUR 130.000 - 160.000; Jornada completa

Descripción de la vacante

A global biopharmaceutical company is looking for a Senior Director of Enterprise AI Platforms in Barcelona, Spain. This strategic role involves leading AI solutions' development and deployment within the company. Candidates should have extensive experience in enterprise AI and ML infrastructure, proficiency in Python, and robust budget management skills. The role offers opportunities to build partnerships and influence the future of pharmaceutical innovation.

Formación

• Extensive experience in senior roles leading enterprise AI platforms and ML infrastructure.
• Strong proficiency in Python and experience with AWS environments.
• Budget and resource management for teams and external services.

Responsabilidades

• Own the complete vision for AI at AstraZeneca and its tools.
• Build strategic partnerships and integration for AI platform.
• Manage substantial budgets and resources effectively.

Conocimientos

Leading enterprise AI platforms

Budget and resource management

Strong software coding skills in Python

Experience with AWS cloud environments

Influencing and communication of strategy

Experience leading teams of technical experts

Knowledge of data science and ML environments

DevOps mentality using tools like Docker and Git

Educación

B.S. degree in Computer Science or related field

Herramientas

AWS SageMaker

Docker

Terraform

Hadoop

Spark

Descripción del empleo

Location: Barcelona, Spain

Senior Director Enterprise AI Platforms

At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge‑sharing, ambitious thinking and innovation – ultimately providing employees with the opportunity to work across teams, functions and even the globe. We recognize the importance of individualized flexibility, allowing employees to balance personal and work commitments while ensuring a strong culture of collaboration and teamwork by engaging face‑to‑face in our offices 3 days a week. Our dedication to sustainability is also central to our culture.

About the Role

Our goal is to build the enterprise AI platform that enables the next generation of pharmaceutical innovation. As the Senior Director Enterprise AI Platforms, you will be a key strategic leader driving the development and deployment of pioneering AI solutions within our global biopharmaceutical business.

Responsibilities

• Own the complete vision for how scientists and developers build with AI at AstraZeneca, from core ML infrastructure to the tools, SDKs, and integrations that make AI accessible across every R&D environment.
• Build partnerships that extend our AI platform’s reach through integrations, ecosystem programs, and distribution relationships with cloud providers and technology vendors.
• Ship capabilities that enable production at scale: security controls, GxP compliance frameworks, enterprise authentication, and SLAs for mission‑critical drug discovery applications.
• Partner with engineering on architecture for massive ML workloads, including AWS infrastructure scaling, model deployment pipelines, and reliability guarantees.
• Strategically manage substantial budgets, including FTE, outsourced service providers, and professional services.

Essential Skills / Experience

• Extensive experience (at least 5 years) in senior roles leading enterprise AI platforms, ML infrastructure, or developer platform products.
• Developing technical strategies and aligning with partners across a sophisticated global organization.
• Influencing and communicating strategy.
• Budget and resource management (FTE, outsourced service providers, professional services).
• Strong software coding skills, with proficiency in Python (exceptional ability in any language will be recognized).
• Experience leading an enterprise platform and service, handling new customer demand and feature requests.
• Experience leading a team of technical experts.
• Experience with SAFe agile principles and practices.
• Experience working with internal security standards and frameworks.
• B.S. degree or equivalent in Computer Science or related quantitative or analytical field.
• Significant experience with AWS cloud environments & services (e.g., SageMaker, Athena, S3, EC2, RDS, Glue).
• Proven knowledge of building data science and machine‑learning environments to a production standard.
• Modern DevOps mentality, using best‑of‑breed DevOps toolchains such as Docker, Git.
• Experience with infrastructure‑as‑code technology such as Ansible, Terraform, Cloud Formation.
• Adapt standard machine‑learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU).

Desirable Skills / Experience

• Experience in implementing & maintaining GxP compliant life‑science systems.
• Certification in appropriate areas.
• Experience building large‑scale data processing pipelines (e.g., Hadoop, Spark, SQL).
• Multi‑cloud experience (AWS, Azure, GCP).

EEO Statement

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry‑leading skills. We welcome and consider applications from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non‑discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.