Senior Data & Analytics Leader - Digital Solutions & AI

Boston Scientific

The Borough District of Clonmel

On-site

EUR 90,000 - 120,000

Full time

2 days ago
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Job summary

Boston Scientific seeks a Senior Data and Analytics Specialist to lead a multidisciplinary team delivering digital products and analytics for manufacturing and enterprise operations. You will translate business problems into actionable roadmaps, drive end-to-end delivery, and ensure secure, scalable, compliant solutions across sites.

Ideal candidates have 7+ years in data science/engineering and a proven record of producing production-grade digital solutions from concept to deployment, with

Qualifications

  • Honours bachelor’s degree (level 8) in Computer Science, Data Science, Engineering, Data Analytics or related discipline.
  • Strong practical knowledge of SQL, Python or R, data platforms, integrations, analytics, reporting and digital application delivery.
  • Experience leading technical delivery or mentoring developers is typical for 7+ years in data science/engineering/digital manufacturing.

Responsibilities

  • Lead a multidisciplinary development team delivering digital products and analytics against a portfolio roadmap.
  • Translate business problems into use cases, requirements, designs and delivery plans with defined owners and milestones.
  • Own end-to-end delivery from discovery through deployment, adoption and benefit realisation.

Skills

Leadership
SQL
Python/R
Data pipelines
AI/ML
API integration
Data modelling
Agile delivery

Education

Honours bachelor’s degree (level 8) in Computer Science, Data Science, Engineering, Data Analytics or related discipline

Tools

SAP
MES
APIs
Data lakes
Cloud platforms

Job description

Boston Scientific seeks a Senior Data and Analytics Specialist to lead a multidisciplinary team delivering digital products and analytics for manufacturing and enterprise operations. You will translate business problems into actionable roadmaps, drive end-to-end delivery, and ensure secure, scalable, compliant solutions across sites.

Ideal candidates have 7+ years in data science/engineering and a proven record of producing production-grade digital solutions from concept to deployment, with

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