AI Business Value Advisor

Why Keyrus, Why Now!

Keyrus is an international group of 3,000 experts across 30 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.

For more than 30 years, we have helped organizations build the data foundations that power intelligent systems. Today, we go further by designing and operationalizing intelligence that delivers measurable business value.

Building AI capabilities is only part of the challenge. Real transformation happens when those capabilities work within existing business systems, data environments, workflows, and processes.

At Keyrus, you’ll work closely with clients to identify valuable AI opportunities, connect business strategy with technology, and turn innovation into measurable business outcomes.

Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.

Role details

• Location: United States (Remote)
• Contract: Permanent, full-time

What you’ll architect

As an AI Business Value Advisor, you’ll help organizations identify where AI can create meaningful business value and translate opportunities into clear transformation priorities.

You’ll work directly with clients to understand their business challenges, evaluate processes, identify AI use cases, and develop practical strategies for implementation and adoption.

Your focus is connecting business needs with AI capabilities, ensuring initiatives are aligned with organizational priorities, measurable outcomes, and long-term value.

Your responsibilities

• Lead business discovery sessions with clients to understand strategic priorities, operational challenges, and opportunities for AI adoption.
• Identify, evaluate, and prioritize AI use cases based on business impact, feasibility, and organizational readiness.
• Develop business cases, value assessments, KPIs, and ROI models to support AI investment decisions.
• Analyze business processes and recommend improvements enabled by AI, automation, and intelligent workflows.
• Define AI adoption roadmaps, implementation priorities, and measurable success criteria.
• Collaborate with AI Engineers, Architects, and technical teams to translate business requirements into actionable initiatives.
• Advise senior stakeholders throughout AI transformation initiatives, tracking value realization and supporting organizational adoption.
• Turn successful engagements into reusable Keyrus assets, including value assessment frameworks, business case templates, use case prioritization models, and advisory methodologies.

Who you are

You are a business-focused consultant with a strong advisory mindset who enjoys solving complex organizational challenges and helping clients identify opportunities for transformation. You understand how AI can improve business processes, decision-making, and operational performance. You are comfortable leading discovery sessions, advising senior stakeholders, and translating business needs into practical recommendations. You combine analytical thinking, excellent communication, and strategic consulting skills with a focus on measurable business value.

What you bring

Experience

• 5+ years of professional experience in business consulting, digital transformation, business analysis, or strategic advisory roles.
• Experience identifying and prioritizing business opportunities for AI, automation, or digital transformation.
• Experience developing business cases, value assessments, KPIs, and ROI models.
• Ability to analyze business processes and translate organizational challenges into improvement opportunities.
• Experience facilitating workshops, leading discovery sessions, and advising senior business stakeholders.
• Strong client-facing consulting experience, with excellent communication, presentation, and stakeholder management skills.

Technical skills

• Understanding of AI, GenAI, automation, and their applications across business functions.
• Knowledge of business process analysis, process optimization, and transformation methodologies.
• Experience with business value assessment, financial modeling, ROI analysis, and KPI development.
• Ability to assess AI use cases based on business impact, feasibility, risk, and implementation complexity.
• Familiarity with AI adoption strategies, change management, and organizational readiness.
• Understanding of enterprise data, analytics, and technology environments to collaborate effectively with technical team…