Data & AI Video Hub

Explore Harnham’s collection of videos covering data, AI, analytics, and talent. Hear from industry experts, hiring leaders, and data professionals as they discuss building high-performing teams, hiring strategies, AI trends, and the future of data-driven organisations.

Latest Videos

What Success Looks Like in Data & AI

For today’s data leaders, success means confidence, simplicity, and long-term impact. With Harnham and Rockborne as one partner across the full spectrum of data and AI talent, businesses can reduce the complexity of juggling multiple suppliers and focus instead on building capability that lasts.

Lessons from 19,000+ placements and a partnership shaping the future of data talent

From Talent Provider to Data & AI Partner: Rockborne’s Evolution

As the market shifted and data leaders faced increasing pressure to deliver outcomes faster, with tighter budgets and higher visibility, business needs evolved. Instead of hiring talent, organisations now require complete, outcome-driven solutions.

Why Embedded Recruitment Wins for Data & AI Hiring | Harnham

When hiring is business-critical, traditional recruitment models often fall short. In this video, we explain why embedded recruitment is the most effective approach for scaling high-performing data and AI teams.

How to Build Data & AI Capability | Harnham x Rockborne’s Attract–Train–Deploy Mode

Every business faces unique challenges in building data and AI capability. That’s why Harnham and Rockborne start with one simple step: a conversation. From there, we shape the right approach together, guided by our proven Attract–Train–Deploy model.

Talent Transformation: Building Data Careers and Stronger Teams

Some of our proudest moments come from seeing Rockborne consultants, many from non-traditional backgrounds, grow into permanent roles, earn promotions, and even lead teams of their own. Their journeys prove how opportunity can transform both lives and industries. This impact extends to our client partnerships. In one organisation, Rockborne consultants, Harnham contractors, and permanent employees now collaborate side by side

Joining Forces for a Bigger Vision in Data & AI

Businesses needed a true partner who understood their challenges and could deliver lasting solutions. That vision sparked the creation of Rockborne: a consultancy that grew into a full-service partner, training, upskilling, and deploying diverse data specialists to close skills gaps and open data careers for people from all backgrounds.

Building Data & AI Talent: How Harnham and Rockborne Drive Transformation

From launching Rockborne as a training and development partner, to transforming how businesses think about data skills, Dave and Waseem share the vision, the impact, and the opportunities for organisations looking to stay ahead in a rapidly evolving market.

15,000 Placements Later: What We’ve Learned About the Global Data & AI Talent Market

Join Harnham co-founders Dave Farmer (Co-founder & CEO) and Simon (Co-founder & Chairman) for a candid and inspiring conversation celebrating 15,000 placements and nearly two decades in the data recruitment industry.

15,000 Placements Later: Co-Founders Dave and Simon

In this video, co -founders Dave Farmer (Co-founder & CEO) and Simon Clarke (Co-founder & Chairman) discuss a significant milestone in Harnham’s journey - 15,000 placements and nearly two decades of growth in the data and AI recruitment space.

15,000 Placements Later: Hear from Abby, the 15,000th placement

In this video, we speak to Abby Parker, the 15,000th person placed through Harnham Group - a data professional who entered the industry via our sister company, Rockborne.

What Makes a Great AI Recruiter?

In this video, we break down what separates great AI and data recruiters from the rest, and how companies can choose the right partner.

Short insights from Harnham experts answering the biggest questions in data and AI hiring

Data Leader Hiring Guide Insights

In this video, we break down the key insights from our Data Leader Hiring Guide, exploring what organisations should be looking for, how the role of data leadership is evolving, and what separates good from truly transformational hires.

Spotting High Potential Candidates

In this video, we explore what truly defines “high potential” — and why it goes far beyond experience, job titles, or technical ability. Hiring for potential rather than just proven performance can be a powerful competitive advantage.

The Skills Gap

In this video, we explore the growing conversation around the “skills gap” and what it really means for businesses trying to hire in a competitive market.

What we wish every hiring manager knew

In this video, we share the honest insights and recurring themes that can make or break a hiring process. From unclear briefs to unrealistic expectations, small misalignments can have a big impact on attracting and securing the right talent. We explore what hiring managers often underestimate, and how small shifts in approach can dramatically improve hiring outcomes

Why the US is losing out on top data talent

Is the US losing its grip on top data talent? In this video, we explore why some of the world’s best data professionals are increasingly looking beyond the US and what that means for businesses competing for elite talent.

What's changing in the US

In this video, we explore the key shifts shaping the US recruitment landscape, particularly across data, technology and leadership roles. From evolving candidate expectations to structural changes in how businesses hire and scale, the market is moving fast. Understanding these changes is critical for companies that want to stay competitive and attract the best talent.

Why We Don't Just Sent Any Candidate

In a competitive hiring market, volume is easy. Precision is harder. In this video, we explain why our approach isn’t about flooding inboxes with CVs — it’s about delivering carefully selected, high-impact candidates who truly fit the brief.

The Biggest AI Trends Right Now: LLMs, Agents & Trust

In this video, Tim Jonas (Business Manager at Harnham) shares the key trends shaping AI hiring and adoption today.

From 0 to AI Deployment in 4 Months

A pharmaceutical company had already invested heavily in an AI platform—and had just 4 months to implement it across the business. No delays. No budget resets. No second chances.

Data Recruitment & AI Talent Solutions

JOIN THE HARNHAM TEAM

LATEST HARNHAM
OPPORTUNITIES

Welcome to a recruitment journey like no other. At Harnham, we're always interested in finding the right people to join our team.

 

Senior AI Product Engineer

San Francisco, CA

$160000 - $250000

+ Data Engineering

Permanent
San Francisco, California

To Apply for this Job Click Here

SENIOR AI PRODUCT ENGINEER – AGENTIC SYSTEMS & PRODUCTION AI

BAY AREA (HYBRID / 3 DAYS IN OFFICE)

$160,000 – $225,900 (SENIOR) | $225,000 – $250,000 (SENIOR II) + EQUITY

The Opportunity

Join a high-growth team building production, autonomous AI systems for enterprise use.

This isn’t experimental AI-you’ll create real agentic products that take action, drive outcomes, and automate complex workflows end-to-end.

You’ll operate in a 0→1 environment with full ownership, shaping product direction, system architecture, and customer experience.

What You’ll Do

  • Build AI agents that act autonomously across real workflows
  • Develop end-to-end systems across LLMs, APIs, orchestration, and applications
  • Own the full lifecycle: prompting, evaluation, debugging, and scaling
  • Turn ambiguous problems into structured, production-ready solutions
  • Partner with product to deliver outcomes, not just features
  • Help define shared AI platform architecture
  • Continuously improve systems through testing and iteration

What We’re Looking For

  • 4-8 years as a backend or full-stack engineer
  • Experience shipping production AI or agent-based systems
  • Strong TypeScript skills
  • Hands-on experience with LLMs in real products
  • Solid foundation in system design and distributed systems
  • Experience evaluating and improving AI performance
  • High ownership mindset in fast-moving environments
  • Ability to clearly explain technical decisions and tradeoffs

Nice to Have

  • RAG experience
  • LangChain, LangGraph, Bedrock, or similar tools
  • Startup or 0→1 product experience
  • Agent workflows or orchestration systems
  • LLMOps or AI infrastructure experience

Why This Role

  • Build real AI products, not prototypes
  • Work on systems that take action and deliver outcomes
  • High ownership from idea → scale
  • Fast-paced, high-impact environment
  • Direct influence on AI strategy and architecture
  • Strong team + meaningful equity

If you’re excited about building AI that actually does things-not just talks about them, this is a rare opportunity to shape the future of how enterprise systems operate.

To Apply for this Job Click Here

Data Engineer

Centennial, CO

$120000 - $135000

+ Data Engineering

Permanent
Colorado

To Apply for this Job Click Here

DATA ENGINEER – CLOUD DATA PLATFORM

REMOTE (USA)

$120,000 – $135,000 BASE + BENEFITS

The Opportunity

Be part of a company undergoing a large-scale data modernization initiative as it builds the next generation of its cloud data ecosystem.

This organization is investing heavily in data, analytics, and AI, creating a unique opportunity for a Data Engineer who wants to work on meaningful challenges involving data ingestion, transformation, platform scalability, and cloud architecture.

You’ll join a small, highly collaborative engineering team where you’ll play a key role in building and maintaining the data foundation that powers reporting, analytics, operational insights, and future AI capabilities.

If you’re someone who enjoys solving complex data problems, taking ownership of solutions, and working in an environment where your impact is highly visible, this role offers an excellent opportunity for growth.

What You’ll Do

  • Build and support scalable data pipelines that move data from various source systems into a cloud data platform
  • Develop data integration and transformation workflows using Python and SQL
  • Create reliable, high-quality datasets that enable analytics, reporting, and business intelligence initiatives
  • Monitor and improve data quality, performance, and reliability across the platform
  • Troubleshoot pipeline failures, data inconsistencies, and operational issues
  • Collaborate with analytics and business teams to ensure trusted, usable data is available downstream
  • Help establish best practices around DataOps, automation, observability, and platform governance
  • Support ongoing cloud modernization and migration initiatives
  • Contribute to architectural decisions and continuous platform improvements
  • Deliver solutions that scale with a rapidly growing global business

What We’re Looking For

  • 5+ years of experience in Data Engineering, Data Platform Engineering, or similar roles
  • Strong experience designing, developing, and maintaining data pipelines
  • Hands-on expertise with Snowflake, Databricks, or modern cloud data warehouse technologies
  • Advanced SQL skills and strong proficiency in Python
  • Experience working within Azure or comparable cloud platforms
  • Solid understanding of ETL/ELT processes, data integration, and data warehousing concepts
  • Experience managing data quality, monitoring, and operational support
  • Comfortable working in fast-paced environments with significant ownership and accountability
  • Strong problem-solving, communication, and collaboration skills
  • Passion for building solutions that enable data-driven decision making

Why This Role

  • Help build the data foundation for a company-wide digital transformation
  • Work with modern technologies including Snowflake, Azure, Python, and cloud-native tools
  • Join a lean, high-performing team where engineers have real ownership
  • Influence architecture, standards, and the future direction of the data platform
  • Tackle large-scale data challenges that directly impact business outcomes
  • Gain exposure to analytics, AI, cloud modernization, and enterprise-scale data initiatives
  • Enjoy the flexibility of a fully remote environment
  • Accelerate your career by working on highly visible projects with executive-level support

If you’re looking for an opportunity where you can build, own, and scale modern data solutions while helping shape the future of a growing cloud data platform, we’d love to connect.

To Apply for this Job Click Here

Senior Software Engineer

San Francisco, CA

$160000 - $200000

+ Data Engineering

Permanent
San Francisco, California

To Apply for this Job Click Here

Senior Full Stack Engineer (AI & Healthcare Technology)

$160,000-$200,000 base salary + equity

San Francisco, CA – Hybrid

About the Company

Join a fast-growing, venture-backed technology company focused on improving healthcare through innovative data, software, and AI-driven solutions. The team consists of experienced engineers, scientists, and industry leaders working together to build products that help healthcare professionals make better decisions and improve outcomes for patients.

The Opportunity

We’re seeking a Senior Full Stack Engineer to develop intelligent, AI-powered applications that streamline workflows for clinical users. You’ll work closely with stakeholders to identify challenges, build scalable solutions, and leverage modern AI technologies to improve efficiency and user experience.

What You’ll Do

  • Build and ship full-stack applications using Python, Django, React, JavaScript/TypeScript.
  • Develop AI/LLM-powered features and workflow automation tools.
  • Design APIs, databases, and scalable backend systems.
  • Integrate third-party services and AI platforms.
  • Contribute to architecture decisions and technical strategy.
  • Mentor engineers and promote engineering best practices.
  • Partner closely with product and business teams to deliver impactful solutions.

What We’re Looking For

  • 5+ years of full-stack software engineering experience.
  • Strong experience with Python, React, JavaScript/TypeScript, and modern web applications.
  • Experience designing APIs, databases, and scalable systems.
  • Familiarity with AI/LLMs, either professionally or through meaningful personal projects.
  • Strong communication and collaboration skills.
  • Comfortable working in a fast-paced, startup environment.

Nice to Have

  • Healthcare or regulated industry experience.
  • Experience with LLM applications, prompt engineering, or RAG.
  • Kubernetes or containerization experience.
  • Technical leadership or mentoring experience.

Why Candidates Are Interested

  • Build cutting-edge AI products with real-world impact.
  • High ownership and visibility across the organization.
  • Work on challenging full-stack and AI engineering problems.
  • Collaborative, mission-driven team environment.
  • Strong growth potential and equity opportunity.

To Apply for this Job Click Here

Agentic AI Software Engineer

Houston, TX

$160000 - $180000

+ Data Engineering

Permanent
Houston, Texas

To Apply for this Job Click Here

Agentic AI Software Engineer

Hybrid, Houston (4 days per week in office)

$160,000 – $180,000 Base Salary + Bonus

About the Role

You’ll design and build AI agents that reason across complex workflows, interact with enterprise tools and systems, and take action on behalf of users. This includes intelligent support agents that understand user intent, retrieve information, and resolve or escalate requests, along with the applications, data pipelines, and infrastructure that support them.

What You’ll Do

Agent Development

  • Design and build AI agents and agentic workflows combining LLMs, APIs, RAG, and business logic
  • Build secure integrations with enterprise applications, databases, and knowledge sources
  • Develop agent memory, context, guardrails, and evaluation frameworks for reliable production use

Application Development

  • Build user facing applications and backend services that power AI agent experiences
  • Own features end to end, from backend and AI orchestration through frontend experience
  • Ensure applications and agentic systems are scalable, secure, and enterprise ready

Data & Infrastructure

  • Build data pipelines, ETL workflows, and integrations with the Databricks Lakehouse platform
  • Build RAG pipelines enabling agents to retrieve and reason over enterprise data
  • Implement CI/CD, testing, observability, and monitoring across AI and application systems

What You’ll Need

  • Bachelor’s degree in computer science, Software Engineering, or a related field
  • 8+ years building production grade software, including recent, dedicated experience building AI agents and agentic workflows
  • Experience with LLMs, RAG, tool calling, or agent orchestration frameworks
  • Full stack development experience, including APIs, backend services, and frontend applications
  • Experience designing agent memory, context, retrieval, or evaluation systems

To Apply for this Job Click Here

Senior Full Stack Engineer (Backend)

Phoenix, AZ

$120000 - $140000

+ Data Engineering

Permanent
Phoenix, Arizona

To Apply for this Job Click Here

SENIOR SOFTWARE ENGINEER – BACKEND FOCUS

TEMPE, AZ (HYBRID)

$120,000 – $145,000 BASE + BONUS + BENEFITS

The Opportunity

We’re partnering with a large, well-established national organization to hire a Senior Software Engineer with strong AWS Serverless, Python or Node.js, and Javascript/Typescript experience to help scale and modernize their cloud platform.

This role sits at the center of a fast-moving engineering team responsible for powering customer-facing applications (leasing, payments, maintenance) and internal systems. You’ll design and build scalable, serverless backend services in AWS while contributing to modern React-based front-end applications.

This is a hands-on senior IC role with strong ownership across cloud architecture and application development.

The Engineering Environment

The team operates in a high-velocity Agile environment focused on:

  • AWS-first, serverless architecture (Lambda, S3, API Gateway)
  • Cloud-native microservices
  • Continuous integration and delivery
  • Modern DevOps practices
  • Ongoing platform modernization and legacy refactoring

What You’ll Be Working On

  • Design and build serverless backend services using AWS Lambda, S3, and related AWS services
  • Develop RESTful APIs and event-driven workflows in Python
  • Build and enhance modern front-end applications using React / ReactJS
  • Architect scalable, secure cloud-native solutions
  • Optimize performance, reliability, and cost efficiency in AWS environments
  • Participate in CI/CD pipelines and automated deployments
  • Collaborate with product, QA, and cross-functional teams to ship high-quality releases

What We’re Looking For

  • 4-8+ years of software engineering experience
  • Strong hands-on experience with AWS Serverless (Lambda, S3, API Gateway)
  • Proficiency in Nodejs for backend development
  • Solid understanding of cloud-native architecture and distributed systems
  • Experience working in Agile environments with CI/CD pipelines
  • Experience building modern front-end applications with React / ReactJS (Nice to have)

Why This Role

  • Opportunity to build and scale AWS serverless systems at national scale
  • High ownership and architectural input as a senior engineer
  • Strong cloud-native, modern engineering environment
  • Stable, growth-oriented organization investing heavily in technology
  • Competitive base + bonus structure
  • Full benefits (medical, dental, vision, 401k match, PTO, holidays)

This is a high-impact engineering role focused on designing and building scalable AWS serverless solutions and Node.js-based backend services that power critical customer-facing and operational systems at scale.

To Apply for this Job Click Here

Lead Data Scientist

Phoenix, AZ

$140000 - $150000

+ Data Science & AI

Permanent
Phoenix, Arizona

To Apply for this Job Click Here

LEAD DATA SCIENTIST – CREDIT RISK & ADVANCED ANALYTICS

TEMPE, AZ (HYBRID)

$140,000 – $150,000 BASE + ANNUAL BONUS

The Opportunity Join a high-impact Analytics team focused on solving complex business challenges through advanced data science, predictive modeling, and risk analytics.

This is a highly visible leadership role where you’ll partner directly with executives and cross-functional stakeholders to influence key business decisions, improve customer outcomes, and drive measurable financial impact.

You’ll own projects from concept through implementation, applying machine learning, statistical modeling, and business insight to deliver solutions that make a real difference.

What You’ll Do

  • Lead analytical initiatives from problem definition through implementation and measurement
  • Develop predictive models to support business strategy, financial forecasting, and risk assessment initiatives
  • Leverage machine learning techniques such as gradient boosting, random forests, clustering, and segmentation to generate actionable insights
  • Identify trends, quantify opportunities, and uncover root causes within large and complex datasets
  • Collaborate with senior stakeholders to translate business challenges into analytical solutions
  • Present findings and recommendations to leadership through compelling data storytelling and executive presentations
  • Guide and mentor less experienced team members on project execution and analytical methodologies
  • Build scalable processes and analytical frameworks that improve business performance over time

What We’re Looking For

  • 8+ years of experience in data science, quantitative analytics, predictive modeling, or risk analytics
  • Experience applying statistical and machine learning techniques to real-world business problems
  • Advanced Python and SQL skills with experience working across large, complex datasets
  • Strong understanding of predictive modeling, segmentation, experimentation, and statistical analysis
  • Proven track record of influencing business decisions through data-driven recommendations
  • Excellent communication skills with the ability to explain complex concepts to executive audiences
  • Experience leading initiatives independently with minimal direction
  • Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Economics, Engineering, or a related discipline

Nice to Have

  • Master’s degree in a quantitative discipline
  • Experience within financial services, consumer lending, real estate, healthcare, or other regulated industries
  • Background in risk management, portfolio analytics, or credit-related modeling
  • Exposure to model validation, governance, audit, or regulatory review processes
  • Knowledge of cloud-based data environments including AWS and Snowflake
  • Experience utilizing bureau data, scorecards, or advanced forecasting methodologies

Why This Role

  • High-visibility role with regular interaction with executive leadership
  • Opportunity to drive business outcomes through production-ready analytics and machine learning
  • Strong autonomy and ownership over projects and strategy
  • Work on initiatives with measurable multi-million-dollar business impact
  • Mentor and influence without direct people-management responsibilities
  • Collaborative, supportive culture that values innovation, curiosity, and continuous improvement
  • Opportunity to see your models implemented and your work recognized across the organization

If you’re a data science leader who enjoys solving complex business problems, influencing executive decisions, and building predictive models that drive real-world results, we’d love to connect.

To Apply for this Job Click Here

Lead Data Scientist

Dallas, TX

$140000 - $150000

+ Data Science & AI

Permanent
Dallas, Texas

To Apply for this Job Click Here

LEAD DATA SCIENTIST – CREDIT RISK & ADVANCED ANALYTICS

DALLAS, TX (HYBRID)

$140,000 – $150,000 BASE + ANNUAL BONUS

The Opportunity Join a high-impact Analytics team focused on solving complex business challenges through advanced data science, predictive modeling, and risk analytics.

This is a highly visible leadership role where you’ll partner directly with executives and cross-functional stakeholders to influence key business decisions, improve customer outcomes, and drive measurable financial impact.

You’ll own projects from concept through implementation, applying machine learning, statistical modeling, and business insight to deliver solutions that make a real difference.

What You’ll Do

  • Lead analytical initiatives from problem definition through implementation and measurement
  • Develop predictive models to support business strategy, financial forecasting, and risk assessment initiatives
  • Leverage machine learning techniques such as gradient boosting, random forests, clustering, and segmentation to generate actionable insights
  • Identify trends, quantify opportunities, and uncover root causes within large and complex datasets
  • Collaborate with senior stakeholders to translate business challenges into analytical solutions
  • Present findings and recommendations to leadership through compelling data storytelling and executive presentations
  • Guide and mentor less experienced team members on project execution and analytical methodologies
  • Build scalable processes and analytical frameworks that improve business performance over time

What We’re Looking For

  • 8+ years of experience in data science, quantitative analytics, predictive modeling, or risk analytics
  • Experience applying statistical and machine learning techniques to real-world business problems
  • Advanced Python and SQL skills with experience working across large, complex datasets
  • Strong understanding of predictive modeling, segmentation, experimentation, and statistical analysis
  • Proven track record of influencing business decisions through data-driven recommendations
  • Excellent communication skills with the ability to explain complex concepts to executive audiences
  • Experience leading initiatives independently with minimal direction
  • Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Economics, Engineering, or a related discipline

Nice to Have

  • Master’s degree in a quantitative discipline
  • Experience within financial services, consumer lending, real estate, healthcare, or other regulated industries
  • Background in risk management, portfolio analytics, or credit-related modeling
  • Exposure to model validation, governance, audit, or regulatory review processes
  • Knowledge of cloud-based data environments including AWS and Snowflake
  • Experience utilizing bureau data, scorecards, or advanced forecasting methodologies

Why This Role

  • High-visibility role with regular interaction with executive leadership
  • Opportunity to drive business outcomes through production-ready analytics and machine learning
  • Strong autonomy and ownership over projects and strategy
  • Work on initiatives with measurable multi-million-dollar business impact
  • Mentor and influence without direct people-management responsibilities
  • Collaborative, supportive culture that values innovation, curiosity, and continuous improvement
  • Opportunity to see your models implemented and your work recognized across the organization

If you’re a data science leader who enjoys solving complex business problems, influencing executive decisions, and building predictive models that drive real-world results, we’d love to connect.

To Apply for this Job Click Here

Head of Content & Creative

Nottingham

£60000 - £65000

+ Advanced Analytics & Marketing Insights

Permanent
Nottingham, Nottinghamshire

To Apply for this Job Click Here

Head of Content & Creative

Up to £65,000
Hybrid – Nottingham (1 day per week)

I’m hiring a Head of Content & Creative for a leading international humanitarian charity entering an exciting new phase of growth and transformation.

This is a newly created leadership role with a clear mission: build and lead a global content strategy that increases engagement, strengthens the brand, and ultimately drives fundraising performance across multiple international markets.


The organisation

An international humanitarian charity operating in more than 30 countries, delivering emergency relief alongside long-term programmes focused on education, healthcare, livelihoods, and clean water.

Following a major organisational restructure, fundraising activity is moving from regional operations towards a coordinated global model, creating a significant opportunity to build a more strategic and consistent content function.


The opportunity

This role has been created because the organisation already has strong creative delivery capability.

What they’re looking for now is someone who can:

  • Set the vision for content and storytelling
  • Help shape global messaging
  • Connect content to fundraising outcomes
  • Bring consistency across international markets
  • Lead and develop a creative team

This is not a content production role.

It’s a strategic leadership position focused on helping people better understand complex humanitarian issues and inspiring them to take action.


What you’ll be doing

Content Strategy & Storytelling

  • Own and develop the global content and creative strategy.
  • Turn complex humanitarian issues into engaging, audience-focused stories.
  • Create frameworks that support both awareness and fundraising objectives.
  • Ensure messaging is consistent while remaining locally relevant across international markets.

Creative Leadership

  • Lead an established team spanning:
    • Content
    • Social Media
    • Creative Design
    • Video Production
  • Improve the quality, consistency, and effectiveness of creative output.
  • Develop team capabilities, processes, and ways of working.

Campaign & Audience Engagement

  • Lead content across:
    • Social media
    • Websites
    • Email
    • SMS
    • WhatsApp
    • Offline communications
  • Develop influencer and creator partnerships.
  • Use audience insight and donor behaviour to shape messaging and campaign development.

Stakeholder Collaboration

  • Partner closely with Fundraising, Marketing, and Donor Retention teams.
  • Support fundraising offices across multiple countries.
  • Work with senior stakeholders to ensure content supports broader organisational goals.

The team

You’ll inherit an existing team including:

  • Creative Manager
  • Content Manager
  • Social Media Manager

The delivery capability already exists. The priority is bringing stronger strategic direction, alignment, and long-term vision.


What they’re looking for

Essential

  • Strong content strategy and storytelling experience.
  • Experience leading content, creative, or editorial teams.
  • Ability to translate complex issues into engaging narratives.
  • Strong stakeholder management and communication skills.
  • Experience using audience insight to inform content decisions.
  • Ability to balance brand building with measurable outcomes.

Ideal backgrounds

  • Head of Content
  • Head of Creative
  • Content Strategy Lead
  • Senior Content Manager
  • Creative Content Lead
  • Editorial Lead

Desirable

  • Fundraising, charity, or purpose-led experience.
  • International brand experience.
  • Understanding of supporter engagement and donor communications.
  • Experience working with distributed or multi-market teams.

Why join?

  • Brand-new leadership role with genuine ownership.
  • Opportunity to shape a global content strategy.
  • Meaningful work with real-world impact.
  • Established creative team already in place.
  • High visibility across the organisation.
  • Ability to influence how a major international charity tells its story.
  • Significant scope to connect creative output directly to fundraising growth.

Package

  • Up to £65,000 salary.
  • Hybrid working (1 day per week in Nottingham).
  • 35-hour working week.
  • Opportunity for occasional international travel.
  • Genuine long-term progression opportunities.

Interview process

Stage 1: 30-minute discussion with the Head of Fundraising

Stage 2: Task and presentation exercise

This role would suit someone who loves building narratives, developing creative teams, and using content to drive meaningful engagement, action, and impact.

To Apply for this Job Click Here