AI Transformation Director – GenAI & Digital Ops (Sweden)

HCLTech

Stockholms kommun

On-site

SEK 2,500,000 - 3,800,000

Full time

9 days ago
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Job summary

HCLTech in Sweden seeks an AI Transformation Director to own end-to-end service delivery for a USD 15–16M portfolio and guide the AI-led transformation across applications and infrastructure.

You will lead a 350+ FTE global delivery organization, partnering with the client’s VP of Digital Business Transformation and the CDIO to drive GenAI-led growth and practical AI adoption with measurable value realization.

Responsibilities

  • Own end-to-end delivery (apps + infra) for Group from DBS; single point of accountability for revenue (USD 15–16M p.a.), margin and the 30% growth agenda – pipeline, deal shaping, renewals and commercial negotiations.
  • Two-in-a-box with the client’s VP of Digital Business Transformation and CDIO; own executive governance (SteerCos, QBRs), escalations, CSAT and internal HCLTech stakeholder alignment.
  • Drive transformation of the client’s IT estate spanning hyperautomation, AIOps and GenAI-led operations; lead business-led GenAI and Agentic AI initiatives for both top-line and bottom-line outcomes; own contractual AI / automation adoption KPIs and value realisation.
  • Scale the AI & Data services line built on the account (5 → 50+ FTE) and run the Automation Office (USD 2.8M savings delivered to client operations over three years) as sustained growth and savings engines.
  • Lead the 350+ FTE multi-tower, onshore–offshore delivery organisation; drive AI upskilling and certification at scale on Anthropic and OpenAI architectures – leading by personal example.

Job description

HCLTech in Sweden seeks an AI Transformation Director to own end-to-end service delivery for a USD 15–16M portfolio and guide the AI-led transformation across applications and infrastructure.

You will lead a 350+ FTE global delivery organization, partnering with the client’s VP of Digital Business Transformation and the CDIO to drive GenAI-led growth and practical AI adoption with measurable value realization.

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