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- Tasks: Lead AI initiatives to enhance marketing performance and internal efficiency.
- Company: Dynamic full-service marketing agency focused on innovation and results.
- Benefits: Flexible part-time role with competitive pay and remote work options.
- Why this job: Shape the future of AI in marketing and make a real impact.
- Qualifications: Proven AI leadership experience in marketing and strong communication skills.
- Other info: Join a forward-thinking team dedicated to continuous improvement and growth.
Position: Fractional Head of AI – Full Service Marketing Agency
Location: Remote / On-site (as required)
Type: Part-Time / Fractional
Remuneration: £250k+ p.a. OTE (fractional role – compensation scaled to days committed)
Overview
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.
Qualifications
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.
Benefits
- 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.
Head of Marketing Services (m/w/d) in London employer: Head of AI
Contact Detail:
Head of AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Marketing Services (m/w/d) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the marketing and AI space. Attend industry events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can refer you directly to decision-makers.
✨Tip Number 2
Show off your expertise! Create a portfolio or case studies showcasing your past successes with AI in marketing. Share these on LinkedIn or your personal website. This not only highlights your skills but also makes you memorable to potential employers.
✨Tip Number 3
Don’t just apply – engage! When you find a role that excites you, reach out to the hiring manager or team members on LinkedIn. Ask insightful questions about the company’s AI initiatives. This shows genuine interest and can set you apart from other candidates.
✨Tip Number 4
Keep learning and adapting! Stay updated on the latest trends in AI and marketing. Consider taking online courses or certifications. This not only boosts your CV but also gives you fresh insights to discuss during interviews, making you a more attractive candidate.
We think you need these skills to ace Head of Marketing Services (m/w/d) in London
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 you’ve driven performance and efficiency in previous positions. We love seeing tangible results!
Be Authentic: Let your personality shine through in your application. We’re looking for someone who can connect with our team and clients, so don’t be afraid to show us your unique approach to leadership and collaboration.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
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 tools in AI, especially those relevant to marketing. Be ready to discuss how you've applied AI in past 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 previous positions and be ready to share these insights.
✨Communicate Clearly
Practice explaining complex AI concepts in simple terms. You’ll need to convey your ideas to non-technical stakeholders, so focus on how your strategies can impact their business goals.
✨Demonstrate Leadership Skills
Be prepared to discuss your experience in leading teams and mentoring others. Highlight how you've built collaboration between different departments and raised AI capabilities within your team.
