Digital & Tech Platform Innovator—AI & Automation (Remote)

Coca Colahellenicireland

Italia

Hybrid

EUR 32,000 - 45,000

Full time

14 days+

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Benefits offered by this job

Remote work option
Training and development opportunities
Inclusive environment

Job summary

Coca-Cola HBC Italia is seeking a Digital & Technology Platform Expert – Innovation and Simplification to join our Information Technology function on a hybrid basis. The role supports DTPS in identifying, designing, and enabling process simplification through AI, automation, and data-driven ways of working.

You will collaborate with business users, Process Owners, and technical teams to map processes, propose practical AI-enabled improvements, and contribute to MVPs, pilots, and adoption efforts

Qualifications

  • Bachelor's or Master’s degree in relevant fields is required or highly preferred.
  • Experience with AI, automation, data analytics, and digital transformation is a plus.
  • Ability to communicate with business and technical stakeholders clearly.

Responsibilities

  • Identify pain points and map current processes with business users.
  • Analyze processes for simplification, automation, and AI enablement opportunities.
  • Translate needs into use cases and drive adoption, pilots, and MVPs.
  • Collaborate with Process Owners and DTPS to create business cases and maps.

Skills

Italian language
English language
Digital transformation
AI basics
Agile mindset
Process mapping
Stakeholder comms

Education

Bachelor's or Master's degree

Tools

Power Platform
Copilot
Process mining
Data visualization
Low-code tools
Microsoft 365

Job description

Coca-Cola HBC Italia is seeking a Digital & Technology Platform Expert – Innovation and Simplification to join our Information Technology function on a hybrid basis. The role supports DTPS in identifying, designing, and enabling process simplification through AI, automation, and data-driven ways of working.

You will collaborate with business users, Process Owners, and technical teams to map processes, propose practical AI-enabled improvements, and contribute to MVPs, pilots, and adoption efforts

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