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- Tasks: Lead AI and data strategies, enhance creative processes, and mentor teams.
- Company: Make Agency is a vibrant digital agency in London, driving innovation in the creative sector.
- Benefits: Enjoy competitive salary, hybrid work, wellness perks, and personal development opportunities.
- Why this job: Shape the future of creativity with AI, collaborate with diverse teams, and make a real impact.
- Qualifications: Experience in AI/data roles, strong analytical skills, and a passion for creativity required.
- Other info: Flexible working options and a supportive, inclusive culture await you.
The predicted salary is between 43200 - 72000 £ per year.
Make Agency is a dynamic digital agency based in the heart of London. As we continue to grow, we are looking for a passionate AI & Data Lead to join our team.
About the Role:
We are seeking a highly motivated and experienced AI & Data Lead to spearhead our agency's adoption and application of artificial intelligence and data-driven strategies. This is a pivotal role that will shape our future direction, driving innovation and enhancing our creative output. The ideal candidate will be a strategic thinker with a deep understanding of AI and data technologies, combined with a passion for creative problem-solving and a strong commercial acumen.
Key Responsibilities:
- Strategy Development: Develop and implement the agency's AI and data strategy, aligning it with business objectives and client needs. This includes identifying opportunities for AI and data integration across all agency functions, from creative development to media planning and client servicing.
- Technology Evaluation & Implementation: Research, evaluate, and recommend appropriate AI and data tools and platforms. Oversee the implementation and integration of these technologies into existing workflows.
- Data Analysis & Insights: Lead the analysis of client and campaign data to generate actionable insights that inform creative strategy, optimize campaign performance, and drive business growth. Develop and maintain data dashboards and reporting mechanisms.
- AI Integration in Creative: Explore and implement AI-driven creative tools and techniques to enhance the creative process, including AI-powered copywriting, image generation, and video editing. Educate and train creative teams on the potential of these tools.
- Client Solutions: Develop and pitch innovative AI-powered solutions for clients, showcasing the agency's expertise and delivering tangible value. This may involve developing bespoke AI applications or leveraging existing platforms.
- Team Leadership & Mentorship: Mentor and train existing team members on data literacy and AI awareness.
- Thought Leadership: Stay abreast of the latest developments in AI and data, sharing knowledge and insights with the agency and contributing to industry thought leadership through blog posts, presentations, and conferences.
- Budget Management: Manage the budget allocated to AI and data initiatives, ensuring efficient resource allocation and maximising ROI.
- Collaboration: Work closely with cross-functional teams, including creative, strategy, media, and client services, to ensure seamless integration of AI and data into all aspects of the agency's work.
Minimum Qualifications:
- Proven experience in a data science or AI-related role, preferably within a creative or marketing agency.
- Deep understanding of machine learning, natural language processing, and other AI techniques.
- Strong data analysis skills, with experience using tools like SQL, Python, R, and data visualisation platforms.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
- Strong project management skills, with the ability to manage multiple projects simultaneously and deliver on deadlines.
- A passion for creativity and innovation, with a strong understanding of the creative process.
- Experience in developing and pitching data-driven solutions to clients.
- Strong leadership skills, with the ability to motivate and inspire a team.
- Experience with AI-powered creative tools and platforms.
- Experience in building and managing data pipelines.
- Familiarity with the advertising and marketing landscape.
- A degree in computer science, data science, or a related field.
Salary / Bonus:
- Competitive Salary based on knowledge and experience
- Bonus linked to business profitability
- Cycle to Work scheme
- Breakfast and healthy snacks in the office
- Monthly wellbeing allowance
Learning & Development:
- Team and Personal development budget
- Lunch & Learn sessions
Time Off:
- 26 days' annual leave plus bank holidays
- Enhanced parental leave
How We Work:
- Hybrid, flexible working, three days in the office
- Work from anywhere for one month per year
We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
Interested? Email with your CV and a brief cover email.
AI & Data Lead employer: Make Agency
Contact Detail:
Make Agency Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & Data Lead
✨Tip Number 1
Familiarise yourself with the latest AI and data technologies relevant to the role. Attend webinars, read industry blogs, and follow thought leaders on social media to stay updated. This knowledge will not only help you in interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the AI and data space, especially those working in creative agencies. Join relevant LinkedIn groups or attend industry meetups to connect with potential colleagues or mentors who can provide insights into the role and the agency.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully integrated AI and data strategies in previous roles. Think about challenges you faced, how you overcame them, and the impact your solutions had on the business or creative output.
✨Tip Number 4
Showcase your leadership skills by discussing any experience you have in mentoring or training others in AI and data literacy. Highlighting your ability to inspire and guide a team will resonate well with the agency's focus on collaboration and innovation.
We think you need these skills to ace AI & Data Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and data roles, particularly within creative or marketing agencies. Emphasise your skills in machine learning, data analysis, and any specific tools mentioned in the job description.
Craft a Compelling Cover Email: In your cover email, express your passion for AI and data-driven strategies. Mention specific projects or experiences that demonstrate your ability to lead and innovate in these areas, aligning with the agency's goals.
Showcase Your Leadership Skills: Highlight any previous experience in mentoring or leading teams, especially in the context of AI and data. Provide examples of how you've inspired others and driven successful projects.
Demonstrate Your Creative Problem-Solving: Include examples of how you've used AI and data to solve complex problems creatively. This could involve innovative solutions you've developed or unique applications of technology in past roles.
How to prepare for a job interview at Make Agency
✨Showcase Your AI Knowledge
Make sure to highlight your understanding of AI technologies and data strategies during the interview. Be prepared to discuss specific tools and platforms you've used, as well as how you've applied them in previous roles.
✨Demonstrate Creative Problem-Solving
Since the role involves enhancing creative processes with AI, come prepared with examples of how you've used data-driven insights to solve creative challenges. This will show your ability to merge creativity with technology.
✨Prepare for Technical Questions
Expect questions related to machine learning, natural language processing, and data analysis. Brush up on your knowledge of SQL, Python, and data visualisation tools, as these are crucial for the role.
✨Emphasise Leadership Skills
As a potential team leader, be ready to discuss your experience in mentoring and training others. Share examples of how you've inspired teams to embrace AI and data literacy, showcasing your leadership style.
