Senior Migration Delivery Lead - AI-Driven Cloud Migrations

Salesforce

Dublin

On-site

EUR 90,000 - 130,000

Full time

14 days+
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Job summary

Salesforce is seeking a Migration Delivery Lead in Ireland to manage complex customer migrations, coordinating with GDC engineering partners and ensuring value delivery as customers move to modern cloud architectures.

You will bridge legacy environments with future-state platforms, accelerating timelines using automated playbooks and AI-assisted tooling, while communicating insights back to Product and Engineering.

Qualifications

  • 8+ years of experience in Professional Services, Customer Success, or Technical Consulting, with a strong focus on large-scale platform migrations.
  • Deep, hands-on domain expertise in Marketing Cloud (Engagement/Intelligence), Data 360 (Data Cloud), Revenue Cloud (CPQ/Billing), or Tableau.
  • Ability to translate complex technical architectures into business-friendly language and guide customers through data transformations.

Responsibilities

  • Lead end-to-end customer migration engagements — owning technical delivery, project health, and successful go-live outcomes.
  • Partner with Account Teams and Sales leadership to align migration goals with customers' broader business strategy, renewal, and expansion objectives.
  • Build strong relationships with both business and technical stakeholders, translating complex migration challenges into clear, actionable decisions.
  • Develop and execute focused delivery plans that prioritize high-impact milestones and hold pod-level timelines to account.
  • Facilitate enablement and alignment sessions to ensure customer teams are prepared and confident for platform transitions.

Job description

Salesforce is seeking a Migration Delivery Lead in Ireland to manage complex customer migrations, coordinating with GDC engineering partners and ensuring value delivery as customers move to modern cloud architectures.

You will bridge legacy environments with future-state platforms, accelerating timelines using automated playbooks and AI-assisted tooling, while communicating insights back to Product and Engineering.

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