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Director, Data Automation

AstraZeneca · Cambridge, United Kingdom · Global

Health Tech
–
Not yet analysed
Demand78
Career growth80
Healthcare fit42
Remote potential55
5-year outlook
Senior director-level data and automation leadership in pharma should remain well compensated, with upside tied to enterprise AI and data modernization budgets; exact figures depend on location and scope.
Clinical license
Not required
Applicant reach
narrow
Seniority
executive
Employment type
full-time
Date found
2026-10-22

Intelligence details

Flexible work details

Engagement type
Permanent
Hours
Full-time
Eligible countries
United Kingdom

Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.

Why this is worth applying to

Worth considering only for clinicians with substantial data engineering, automation, or enterprise analytics leadership experience; most clinicians will be underqualified for this Director-level technical people-leadership role.

Who should apply

Clinician-informaticists, physician or pharmacist data leaders, and healthcare graduates with several years managing data engineering, automation, or enterprise analytics teams in pharma, health tech, or regulated environments.

CV angle

Frame real experience leading data or automation projects, cross-functional stakeholder work, governance and compliance, and measurable operational improvements; quantify team size, pipeline reliability, automation savings, and regulated-data controls without claiming engineering leadership you do not have.

Skills to highlight

  • Data engineering leadership
  • Workflow automation and orchestration
  • Data quality and governance
  • CI/CD and Infrastructure-as-Code
  • Stakeholder management
  • Team development and mentoring
  • Enterprise AI and data products
  • Regulated data compliance

Role summary

Director-level role leading data engineers and automation specialists to build scalable data pipelines, automated workflows, and governed data products for AstraZeneca's enterprise AI and digital transformation.

We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.