Senior Value Advisor, Enterprise AI & Process Transformation

ARIS

Bradley Stoke

Hybrid

GBP 90,000 - 130,000

Full time

13 days ago
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Benefits offered by this job

Competitive compensation
Flexible working model
Enterprise exposure

Job summary

ARIS seeks an Executive Value Advisor (EVA) in the UK to lead strategic advisory across global enterprise accounts, translating business priorities into governed process outcomes. This senior role sits within our Success Package and focuses on delivering measurable value through Agentic AI-enabled process intelligence.

Reporting to the VP of Customer Value, you will guide customers from adoption to AI-ready scale, engage C-suite stakeholders, and ensure continued investment through structured

Qualifications

  • 7+ years in enterprise software pre-sales or value engineering.
  • Ability to connect transformation initiatives to measurable outcomes.
  • Experience defining operating models for scalable adoption and governance.
  • Bachelor’s degree in business, engineering, CS or IS; fluent in English.

Responsibilities

  • Lead value-led advisory engagements with measurable success plans and KPIs.
  • Build trusted advisor relationships at senior/executive levels.
  • Define ROI through value hypotheses and economic storytelling.
  • Deliver executive briefings and strategize value realization pathways.
  • Position ARIS capabilities to match customer priorities and needs.

Skills

Enterprise software
Pre-sales
Value engineering
Executive engagement
Storytelling
Cross-functional
English fluency

Education

Bachelor's degree

Tools

ERP systems
CRM systems
HCM systems

Job description

ARIS seeks an Executive Value Advisor (EVA) in the UK to lead strategic advisory across global enterprise accounts, translating business priorities into governed process outcomes. This senior role sits within our Success Package and focuses on delivering measurable value through Agentic AI-enabled process intelligence.

Reporting to the VP of Customer Value, you will guide customers from adoption to AI-ready scale, engage C-suite stakeholders, and ensure continued investment through structured

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