AstraZeneca
Senior Director, AI Enterprise Architecture
US - Gaithersburg - MD · Director
Sponsorship not specified$191k-$286kDetected 6 hours ago
PythonGitDatabricksVector DatabasesAWSGCPAzureKubernetesCI/CDDevOpsMachine LearningTensorFlowData EngineeringData ScienceLLMsRAGAgentic AIMLOpsSASLeadershipCollaborationMentoringDemand Planning
About the role
- Your work will connect the dots across domains, simplify a complex landscape, and increase the agility of critical business processes-driving efficiencies, reducing risk, and unlocking value at scale.
- Can you translate brand new AI into secure, scalable platforms that speed delivery of life-changing medicines while improving the way we operate every day?
- When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines.
Responsibilities
- Define and evolve the organizational AI architecture strategy aligned with scientific and business objectives, ensuring platforms and products deliver tangible value.
- Lead architecture build for multi-agent systems and foundational AI models (LLMs, multimodal), enabling resilient, observable, and governable solutions.
- Partner with product, data governance, security, engineering, and business leaders to align AI initiatives and accelerate high-value use cases.
- Build strong partnerships across data science, engineering, architecture, and executive leadership to align around shared outcomes.
- Deliver conceptual and logical models for operational, master, and data products; define information flows, master and reference data, and metadata to meet capability needs.
- Own AI designs for large or complex capability domains and take accountability for enterprise architecture across major transformation programs.
- Create enterprise architecture blueprints and review project designs to ensure alignment with target architectures and standards.
- Partner with Data Offices to embed governance with measurable controls (e.g., master data consumption, classification metadata) across designs and access processes.
- Provide planning, design expertise, and delivery support across technology standards, models, and enterprise architecture considerations.
- Support or lead AI integration architecture and end-to-end data integration design for complex initiatives.
Requirements
- In-person working builds the space required to engage, move quickly, and reshape perspectives.
Skills
- Bachelor's degree, or equivalent experience, in data science, AI engineering, or a related field.
- Experience with conceptual and logical data modelling techniques and tools.
- Experience defining and applying information and data governance standards in regulated environments.
- Brings a strong mix of data and information architecture, analysis, and engineering expertise.
- Strong understanding of AI platform concepts and cloud-based containerization strategies for hybrid environments.
- Able to select the right AI architecture and technologies based on business use cases, with a strong understanding of the full AI lifecycle.
- Postgraduate degree in MIS, AI, data science, or a related field.
- Recognized thought leader in applying AI within the enterprise and across the industry.
- Experience applying AI and data governance frameworks within a commercial organization.
- Experience working in Agile AI delivery and definition scrums.
Compensation
- The annual base pay for this position ranges from $190,956.80 to $286,435.20.
Benefits
- You will be eligible for various incentives, including short-term incentive bonuses and equity-based awards for salaried roles.
- Our comprehensive package offers premium private medical insurance, dental and vision coverage, and a generous company pension scheme.
- You will also benefit from dedicated funding for continuous learning, paid time off, and flexible working arrangements to help you thrive.
- Enable the full AI lifecycle-from discovery and MVP to productionization, optimization, and retirement-backed by clear SLOs and feedback loops.
- Define and manage work packages for internal and flexible resources, ensuring clarity of outcomes and accountability.
Equal opportunity
- If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
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This listing is sourced directly from AstraZeneca's careers page and normalized into a canonical job model.