AI Strategy Consultant

Rensora AI; United Kingdom; Remote; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Remote-first

Equity

Continuous learning budget

Job summary

Rensora AI is seeking an experienced AI Strategy Consultant to advise enterprise leaders on AI strategy, use-case prioritization, and transformation roadmaps. You will work directly with C-suite executives to develop comprehensive AI adoption strategies and business cases that drive ROI and align with business objectives.

This role sits at the crossroads of business strategy, technology, and organizational change, translating Rensora's capabilities into clear outcomes.

Qualifications

• 5+ years in management consulting, technology strategy, or enterprise advisory with AI focus.
• Proven ability to develop and present AI strategies to C-suite & board-level stakeholders.
• Strong analytical skills with ROI models and business-case justification for tech investments.
• Genuine understanding of AI/ML concepts, feasibility assessment beyond buzzwords.
• Excellent stakeholder management to navigate complex org dynamics and build consensus.

Responsibilities

• Conduct AI readiness assessments for enterprise clients, evaluating data maturity, infrastructure, and strategic alignment.
• Facilitate executive workshops to identify and prioritize high-impact AI use cases across functions.
• Build detailed business cases with ROI models, TCO analysis, and value realization timelines for AI initiatives.
• Develop AI transformation roadmaps sequencing initiatives by value, feasibility, and readiness.
• Advise on AI governance, responsible AI practices, and risk mitigation strategies.
• Present findings to C-suite audiences, translating technical complexity into strategic clarity.
• Collaborate with product and engineering teams to align client strategies with platform capabilities.
• Stay current on AI industry trends and enterprise use cases to inform advisory work.

Skills

AI strategy

Management consulting

C-suite advisory

ROI modelling

Workshop facilitation

Executive communication

Stakeholder mgmt

Data-driven decisions

Tools

Evolis AI

ModernZAI

Job description

Advise enterprise leaders on AI strategy, use-case prioritization, and transformation roadmaps.

As an AI Strategy Consultant at Rensora, you will work directly with C-suite executives and senior leadership at enterprise clients to develop comprehensive AI adoption strategies. You will be the trusted advisor who helps organizations navigate the complexity of AI transformation — identifying high-value use cases, building rigorous business cases, modeling ROI, and creating actionable implementation roadmaps that align with business objectives.

This role sits at the intersection of business strategy, technology, and organizational change. You will translate Rensora's deep AI capabilities — from autonomous agent orchestration with Evolis AI to application modernization with ModernZAI — into clear, compelling business outcomes. Your work will shape how enterprises think about and invest in AI, moving them from exploratory pilots to scaled, production‑grade AI deployments.

You will operate with a high degree of autonomy, managing client relationships and engagement delivery while collaborating closely with Rensora's product, engineering, and delivery teams. The ideal candidate combines strategic consulting experience with genuine fluency in AI and machine learning — not just the buzzwords, but the real capabilities, limitations, and organizational implications of deploying AI at enterprise scale.

What You'll Do

• Conduct AI readiness assessments for enterprise clients, evaluating data maturity, infrastructure, organizational capability, and strategic alignment
• Facilitate executive workshops to identify and prioritize high-impact AI use cases across business functions
• Build detailed business cases with ROI models, total cost of ownership analysis, and value realization timelines for proposed AI initiatives
• Develop AI transformation roadmaps that sequence initiatives by value, feasibility, and organizational readiness
• Advise on AI governance frameworks, responsible AI practices, and risk mitigation strategies
• Present findings and recommendations to C-suite audiences, translating technical complexity into strategic clarity
• Collaborate with Rensora's product and engineering teams to align client strategies with platform capabilities
• Stay current on AI industry trends, competitive landscape, and emerging enterprise use cases to inform advisory work

What We're Looking For

• 5+ years of experience in management consulting, technology strategy, or enterprise advisory roles with a focus on digital transformation or AI
• Demonstrated ability to develop and present AI strategies to C-suite and board-level stakeholders
• Strong analytical skills with experience building business cases, ROI models, and financial justifications for technology investments
• Genuine understanding of AI and machine learning concepts — enough to assess feasibility, not just articulate possibilities
• Excellent stakeholder management skills with the ability to navigate complex organizational dynamics and build consensus
• Experience facilitating workshops and structured ideation sessions with diverse senior audiences
• Outstanding written and verbal communication skills, including the ability to produce polished strategy deliverables
• Comfort operating in ambiguous, fast-moving environments where frameworks must be adapted to client context

Nice to Have

• Experience at a top-tier consulting firm (McKinsey, BCG, Bain, Deloitte, Accenture) or equivalent enterprise advisory practice
• Background in enterprise software, SaaS platforms, or AI product companies
• Familiarity with change management methodologies and organizational transformation frameworks
• MBA or advanced degree in a relevant field
• Experience with AI governance, ethics frameworks, or responsible AI practices in regulated industries

Why Rensora

• Remote-first, async culture
• Deep technical work — not ticket factories
• Competitive compensation and equity
• Continuous learning budget
• Work with cutting-edge AI systems at enterprise scale