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- Tasks: Lead AI initiatives to enhance marketing performance and internal efficiency.
- Company: Dynamic full-service marketing agency with a focus on innovation.
- Benefits: Flexible remote work, competitive pay, and the chance to shape AI strategy.
- Why this job: Make a real impact in a high-growth agency while working with cutting-edge AI technology.
- Qualifications: Proven AI leadership experience and strong communication skills.
- Other info: Join a forward-thinking team dedicated to delivering measurable results.
We are seeking a strategically minded Fractional Head of AI – Marketing, Data & Agency Operations to work with a full-service marketing agency operating across multiple clients, channels, and delivery teams. This role is designed for an agency environment where AI must drive measurable client performance while also improving internal efficiency, utilisation, and margin.
The ideal candidate combines senior AI leadership with hands-on delivery experience, unifying fragmented marketing and operational data into actionable insights that improve campaign results, resource allocation, and profitability. You will lead AI initiatives that deliver ROI across attribution, campaign optimisation, client reporting, forecasting, and intelligent resource management across strategy, creative, media, and delivery teams. This is a high-impact role requiring strong commercial judgement, technical depth, and the ability to influence agency leadership, client CMOs, and internal delivery teams.
Key Responsibilities- Strategic AI Leadership – Agency, Martech & Cross-Channel Marketing
- Define and execute an AI roadmap aligned to both client performance goals and agency commercial objectives.
- Identify opportunities to apply AI across attribution modelling, audience targeting, creative optimisation, media spend allocation, and forecasting.
- Design AI-driven approaches to improve internal agency operations, including capacity planning, utilisation, and delivery efficiency.
- Ensure AI initiatives meet privacy, regulatory, and ethical standards (e.g. GDPR, consent management, data transparency).
- Communicate AI strategy, progress, and business impact to agency leadership, client stakeholders, and senior marketing teams.
- Hands-On AI & Data Implementation
- Unify and analyse data across platforms such as Meta Ads, Google Ads, LinkedIn Ads, GA4, HubSpot, Salesforce, BigQuery, Looker, and internal agency systems.
- Build and oversee bespoke attribution models, predictive performance models, LTV forecasting, and churn or retention indicators.
- Automate client-ready reporting and insight generation across multiple accounts and channels.
- Apply AI and machine learning tools (e.g. Python, modern ML frameworks, analytics tooling) pragmatically to deliver value quickly rather than experimental outputs.
- AI-Driven Resource Management & Agency Operations
- Design AI-enabled systems to improve resourcing decisions across strategy, creative, media, and delivery teams.
- Forecast workload, utilisation, and demand across client portfolios to support hiring, subcontracting, and capacity planning.
- Apply AI to optimise project timelines, team allocation, margin protection, and delivery risk.
- Help leadership move from reactive resourcing to predictive, data-led planning.
- Programme, Portfolio & Delivery Oversight
- Oversee multiple concurrent AI initiatives across client accounts and internal agency functions.
- Ensure initiatives are delivered on time, within budget, and tied to clearly defined KPIs.
- Align AI outputs to commercial metrics such as CAC, LTV, ROAS, pipeline velocity, utilisation, and gross margin.
- Balance innovation with delivery discipline in a fast-moving agency environment.
- Leadership & Team Enablement
- Lead and mentor internal data, analytics, and marketing operations teams.
- Build strong collaboration between AI specialists, marketing ops, creative teams, and client leads.
- Raise AI capability across the agency through coaching, frameworks, and practical use cases.
- Enable teams to confidently use AI tools without creating dependency on specialists.
- Client & Stakeholder Engagement
- Act as a trusted senior advisor to agency leadership and key client stakeholders.
- Translate complex AI outputs into clear, commercially relevant insights for non-technical audiences.
- Support new business and upsell conversations by articulating AI-led differentiation.
- Deliver regular updates on performance impact, operational improvements, and ROI.
- Emotional Intelligence & Change Leadership
- Demonstrate high emotional intelligence in client and internal interactions.
- Build credibility and trust with CMOs, agency partners, account directors, and delivery teams.
- Navigate ambiguity, resistance, and change with clarity and pragmatism.
- Balance innovation with empathy for real-world agency constraints.
- Continuous Improvement
- Stay ahead of developments in AI, martech, attribution, and agency operations.
- Continuously refine internal frameworks for speed, scalability, and repeatability.
- Embed a culture of testing, learning, and evidence-based decision making.
- Ensure AI capability evolves in line with agency growth and client expectations.
- Education
- Bachelor’s or Master’s degree in Computer Science, Data Science, Marketing Analytics, or a related field.
- Experience
- Proven leadership in AI strategy and hands-on delivery within marketing agencies, martech, or multi-client environments.
- Strong experience with cross-channel attribution and marketing data integration at scale.
- Demonstrated success applying AI to improve both marketing performance and internal operations.
- Experience building and leading data or AI teams in commercial settings.
- Core Skills
- Strong strategic and commercial mindset with agency-side experience.
- Excellent organisational and time-management skills across complex portfolios.
- High emotional intelligence and exceptional communication skills.
- Ability to present AI-driven insights clearly to senior, non-technical stakeholders.
- Preferred Experience
- Prior experience in a fractional, portfolio, or advisory leadership role.
- Familiarity with CDPs, marketing data warehouses, and privacy-compliant data unification.
- Experience applying AI to forecasting, utilisation, or professional-services resource management.
- Flexible, fractional engagement with remote-first delivery.
- £250k+ OTE (pro-rated for part-time), linked to scope, delivery impact, and client portfolio value.
- Opportunity to shape AI strategy across a high-growth marketing agency.
- Work on commercially meaningful AI initiatives with visible client and operational impact.
- Join a forward-thinking, delivery-focused environment committed to real results.
Fractional Head of AI – Full Service Marketing Agency in Guildford employer: Head of AI
Contact Detail:
Head of AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fractional Head of AI – Full Service Marketing Agency in Guildford
✨Tip Number 1
Network like a pro! Reach out to industry contacts, attend relevant events, and engage on platforms like LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your expertise! Create a portfolio or case studies showcasing your AI projects and results. When you apply through our website, make sure to highlight these achievements to stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI in marketing. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 4
Follow up after interviews! A quick thank-you email reiterating your interest and summarising key points discussed can leave a lasting impression. It shows you’re proactive and genuinely interested in the role.
We think you need these skills to ace Fractional Head of AI – Full Service Marketing Agency in Guildford
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in AI and marketing. We want to see how your skills align with the role of Fractional Head of AI, so don’t hold back on showcasing relevant projects!
Showcase Your Impact: When detailing your past roles, focus on the measurable outcomes you achieved. Use numbers and specific examples to illustrate how your AI initiatives improved performance or efficiency. We love seeing concrete results!
Be Authentic: Let your personality shine through in your application. We’re looking for someone who can lead with emotional intelligence and connect with both clients and teams. Don’t be afraid to share your unique perspective and approach!
Apply Through Our Website: For the best chance of success, make sure to submit your application through our website. This helps us keep everything organised and ensures your application gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Head of AI
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially as they relate to marketing. Be ready to discuss how you've applied AI in previous roles and how it can drive measurable client performance.
✨Showcase Your Strategic Mindset
Prepare examples that highlight your ability to define and execute an AI roadmap. Think about how you've aligned AI initiatives with commercial objectives in the past and be ready to share those insights during the interview.
✨Communicate Clearly
Since you'll need to translate complex AI outputs for non-technical stakeholders, practice explaining your past projects in simple terms. This will demonstrate your ability to engage with agency leadership and clients effectively.
✨Demonstrate Emotional Intelligence
Be prepared to discuss how you've navigated change and built trust with teams and clients. Share specific instances where your emotional intelligence helped resolve conflicts or foster collaboration in a fast-paced environment.