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.
Director of Product
$300000 - $500000
+ Data Management & Governance
PermanentUSA
To Apply for this Job Click Here
Director or VP of Product, AI Platform
- Location: Fully remote within the United States with occasional travel to SF.
- Client: Confidential – Private Equity Firm
Overview
Our client is reimagining how a leading private equity firm operates in an AI-native era.
A small, high-caliber engineering team has begun building the firm’s core AI platform. The Director / VP of Product will define what that platform is for: where AI can create disproportionate leverage, which problems are worth solving, and how the firm’s distinct judgment, workflows, and operating model should shape what gets built.
This is a senior, hands-on product leadership role for someone who thrives in ambiguity and creates things that do not yet exist. You will work closely with investment professionals, operating teams, functional leaders, and engineers to turn complex, often competing needs into a clear and evidence-based product direction.
The mandate is enablement, not centralization. This role will help remove friction and increase capability across the firm without creating an AI gatekeeping function. You will not run the engineering team’s process or simply convert requests into tickets. You will own the platform’s value thesis, prioritization logic, and evolving product direction.
Responsibilities
- Develop and maintain a living, ranked set of AI product hypotheses, including expected value, user needs, assumptions, supporting evidence, risks, and the criteria that would validate or disprove each bet.
- Identify where AI can create outsized leverage across investment, deal, portfolio, operating, and internal business workflows, with a focus on differentiated and reusable capabilities rather than incremental point solutions.
- Partner directly with senior stakeholders across the firm to understand how work is actually done, where friction exists, and where technology can materially improve decision-making, speed, quality, consistency, or scale.
- Prototype and pressure-test concepts using modern AI-native tools, such as Claude, Claude Code, Claude Cowork, Claude Design, or equivalent tools, before asking engineering to commit resources.
- Use prototypes, workflow analysis, user feedback, and direct observation to test assumptions quickly, advance strong opportunities, and kill weak or disproven ideas rather than allowing them to accumulate in a backlog.
- Partner closely with a small, high-leverage engineering team to provide product context, shape outcomes, evaluate tradeoffs, and determine when to push on a solution versus when to let engineering lead implementation.
- Challenge generic or off-the-shelf AI solutions when they do not fit the firm’s actual workflows, decision-making patterns, or differentiated judgment.
Requirements
- Significant product leadership experience at the Director, VP, Head of Product, or comparable level in Private Equity or adjacent industries.
- Demonstrated success building products, platforms, internal tools, workflow systems, or new capabilities in ambiguous, early-stage, or otherwise undefined environments.
- Strong product judgment grounded in user behavior, workflow design, adoption, and business value rather than feature volume, delivery process, or system design alone.
- Experience working with senior stakeholders in complex, high-expectation environments with competing priorities and limited tolerance for unnecessary process.
- Ability to identify the underlying need behind a stakeholder request, challenge assumptions constructively, and translate broad needs into a stronger product direction.
- Technical fluency sufficient to collaborate credibly with engineers, evaluate practical tradeoffs, understand modern AI capabilities and limitations, and prototype ideas independently.
- Hands-on familiarity with generative AI tools and AI-assisted prototyping or development workflows, such as Claude, ChatGPT, Cursor, Claude Code, Replit, Figma AI, or similar tools.
- Strong communication, facilitation, and relationship management skills, including the ability to build trust with senior leaders, hold productive conversations amid disagreement, and drive alignment without relying on hierarchy.
- Comfortable operating without a complete specification, formal roadmap, established product organization, or clearly defined playbook.
- A low-ego, high-ownership mindset with the ability to move between strategic direction and hands-on experimentation.

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Data Engineer
Miami
$140000 - $165000
+ Data Engineering
PermanentMiami, Florida
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Data Engineer
Hybrid | Miami, FL or Austin, TX – need to be local – relocation not offered
U.S. Citizens & Green Card Holders Only
Build the Future of Data at a Growing Company
Looking to take the next big step in your data engineering career?
We’re partnering with a rapidly growing organization that is investing heavily in its modern data platform and analytics capabilities. This is an opportunity for a Data Engineer with strong SQL, Python, and dbt skills to join a team that’s building a scalable cloud-based data environment from the ground up.
You’ll work alongside experienced data professionals and implementation partners to develop pipelines, transform data, and help create the foundation that powers reporting, analytics, and future AI initiatives across the business.
This role is perfect for someone who enjoys solving data problems, learning modern technologies, and making a visible impact on a growing organization.
What You’ll Do
- Build and maintain data pipelines using SQL, Python, and modern ELT practices
- Develop and optimize dbt models that support analytics and business reporting
- Integrate data from multiple business systems into a centralized cloud data warehouse
- Improve data quality, reliability, and accessibility across the organization
- Partner closely with analytics and business teams to deliver trusted datasets
- Support the implementation of a new Snowflake environment and modern data platform
- Contribute to data governance, documentation, and best practices as the platform grows
Technologies You’ll Work With
- SQL
- Python
- dbt
- Snowflake
- Fivetran
- Domo
- Modern Cloud Data Warehousing
- ELT / Data Transformation
What We’re Looking For
- Approximately 3+ years of experience in Data Engineering, Analytics Engineering, or a related field
- Strong SQL skills with experience working with large datasets
- Hands-on Python experience for data processing and automation
- Experience building and maintaining dbt models
- Exposure to data warehousing concepts and cloud-based data platforms
- Understanding of ETL/ELT processes and data transformation best practices
- Strong problem-solving skills and desire to learn in a fast-paced environment
- Excellent communication skills and ability to collaborate across technical and business teams
Nice to Have
- Snowflake experience
- Fivetran experience
- Experience supporting BI or analytics teams
- Exposure to data governance or data quality initiatives
- Experience working in a cloud data environment
Why Join?
- Work on a modern data stack centered around SQL, Python, dbt, and Snowflake
- Be part of a major data transformation initiative from the beginning
- Gain exposure to enterprise-scale data engineering projects
- Work directly with experienced leaders and consultants who can accelerate your growth
- High visibility and real ownership of impactful projects
Clear opportunities for career advancement as the data team expands
Logistics
Miami, FL or Austin, TX – local candidates only
Up to $165,000 Base Salary
U.S. Citizen or Green Card Holder required
Target Start: October 2026
Ideal Candidate
A Data Engineer with around 3 years of experience who is confident with SQL, Python, and dbt, eager to grow in a modern cloud environment, and excited by the opportunity to help build something from the ground up rather than maintain legacy systems.

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BI Developer
Leicester
£350 - £400
+ Advanced Analytics & Marketing Insights
ContractLeicester, Leicestershire
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Location: Leicester – 2 days per week onsite
(First 2 weeks require 5 days onsite)
Contract Length: 3 months
IR35: Outside IR35
Day Rate: £350-£400 per day
Overview
The team supports finance and operational reporting across areas such as cash, accounting, product launches, and stock and warehousing investigations. This is a fast-paced environment with multiple small workstreams rather than a single large programme.
Key Responsibilities
- Deliver Power BI reporting and data models to support finance and operational insight
- Build and maintain data models, both from scratch and from existing structured tables
- Create clear, functional dashboards and visualisations (clarity over complexity)
- Analyse performance of new product or payment launches (e.g. Apple Pay adoption)
- Support investigations across stock, warehousing and finance operations
- Work closely with stakeholders at multiple levels to gather requirements and iterate quickly
- Operate across a mix of short, ad-hoc projects in a high-change environment
Required Skills & Experience
- Strong SQL and Power BI and Databricks experience
- Solid understanding of data modelling
- Experience working in a fast-paced, delivery-focused BI environment
- Comfortable engaging stakeholders to clarify requirements
Nice to have:
- Python

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Product Data Analyst
Sheffield
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentSheffield, South Yorkshire
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Product Data Analyst
£50,000-£60,000
Sheffield (1 day a week in office)
If you’re passionate about turning complex data into actionable business insights, this is an opportunity to make a tangible impact within a growing technology-led organisation. You’ll combine analytical discovery, predictive modelling, and stakeholder collaboration to shape product strategy, improve customer outcomes, and influence key business decisions.
THE COMPANY
They are a growing organisation undergoing an exciting phase of data maturity and digital transformation. Their focus is on leveraging data to enhance customer experiences, inform strategic decisions, and drive sustainable growth. Working within a collaborative environment, you will partner closely with data, product, operations, finance, and commercial stakeholders to unlock value from a modern cloud-based data platform.
THE ROLE
As a Product Data Analyst, you will drive product strategy and customer growth through advanced analytics, customer journey insights, and predictive data science in a modern cloud data environment.
Specifically, you can expect to be involved in the following:
- Analyse end-to-end customer and user journeys to identify adoption trends, engagement drivers, and opportunities for growth.
- Conduct exploratory analysis to uncover product usage patterns, conversion drop-offs, and areas for optimisation.
- Build predictive models focused on areas such as customer churn, engagement scoring, demand forecasting, and propensity modelling.
- Develop customer segmentation and behavioural cohorts to support targeted business initiatives.
- Translate complex business questions into structured analytical frameworks, hypotheses, and actionable recommendations.
- Partner with data engineering teams to ensure analytical requirements are embedded within the wider data platform.
- Design dashboards, reporting solutions, and KPI frameworks that support executive and operational decision-making.
SKILLS AND EXPERIENCE
The successful Product Data Analyst will have the following skills and experience:
- Strong commercial experience in Data Science, Product Analytics, or Advanced Analytics environments.
- Advanced SQL skills with experience querying complex cloud-based data warehouses, ideally including Snowflake.
- Expertise in Python or R for statistical analysis, machine learning, and predictive modelling.
- Experience analysing customer journeys, retention, lifecycle metrics, and behavioural data.
- Ability to communicate technical findings clearly to both technical and non-technical stakeholders.
- Experience with BI and visualisation tools such as Power BI, Tableau, Looker, or similar.
- Familiarity with dbt and modern analytics engineering practices is highly desirable.
BENEFITS
The successful Product Data Analyst twill receive the following benefits:
- Salary between £50,000 – £60,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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Power BI Developer
Leicester
£400 - £400
+ Advanced Analytics & Marketing Insights
ContractLeicester, Leicestershire
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POWER BI DEVELOPER (RETAIL AND STOCK/WAREHOUSE)
LEICESTER (2 DAYS ONSITE MIN)
3 MONTHS
OUTSIDE IR35
£400 PER DAY
This is an excellent opportunity for a Power BI Developer to join a fast-moving contract project delivering business-critical reporting and insights across finance and operations. You’ll work on a variety of short-term initiatives, collaborating with stakeholders to solve real business challenges through data.
The Company
They are a well-established consumer-focused organisation that relies on data to support operational and financial decision-making. Their analytics team works across multiple business functions, providing insight into performance, product initiatives, and operational efficiency. This contract offers exposure to a broad range of projects in a dynamic and collaborative environment.
The Role and Deliverables
- Develop and deliver Power BI dashboards and reporting solutions to support finance and operational teams.
- Design, build, and maintain robust data models using a combination of existing datasets and new data sources.
- Create clear and effective visualisations that enable stakeholders to make informed decisions.
- Analyse the performance of new product and payment launches, identifying trends and opportunities.
- Support investigations relating to stock management, warehousing, and financial operations.
- Engage with stakeholders to gather requirements, refine reporting needs, and deliver solutions in an agile environment.
Your Skills & Experience
- Strong experience developing reporting solutions using Power BI.
- Strong SQL skills and the ability to work with complex datasets.
- Solid understanding of data modelling principles and best practice.
- Experience working in a fast-paced, delivery-focused BI environment.
- Ability to engage confidently with stakeholders and translate business requirements into reporting solutions.
- Experience working with Databricks.
- Background within retail, ecommerce, or other consumer-facing environments.
- Exposure to Python would be beneficial.

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Director of Data Research
London
£100000 - £150000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Director of Data Research
Remote | £100,000 – £150,000
This is a rare opportunity to shape and lead a high-impact Data Research function within a growing data and analytics business. Sitting at the intersection of data science, commercial strategy, and research, you will play a key role in identifying new data opportunities, validating their value, and helping drive the development of innovative data products.
The Company
They are a fast-growing data and analytics organisation that delivers actionable business insights through sophisticated data products. Working with a range of commercial and investment-focused customers, they combine proprietary methodologies with diverse datasets to uncover meaningful trends and performance indicators.
Their success is built on finding unique sources of information and transforming them into valuable insights. As they continue to grow, they are looking for a Director of Data Research to provide technical leadership, enhance research capabilities, and drive innovation across the function.
The Role
As Director of Data Research, you will lead the strategy, execution, and development of the Data Research team. You will work closely with stakeholders across data partnerships, technology, and leadership to evaluate new datasets and identify opportunities for new products and KPIs.
Responsibilities include:
- Defining and executing the Data Research strategy in line with business objectives
- Leading research initiatives to identify new data sources, metrics, and commercial opportunities
- Evaluating new datasets and assessing their quality, reliability, and business value
- Applying statistical techniques including time series analysis, hypothesis testing, correlation analysis, and data validation
- Developing frameworks and standards for dataset evaluation and valuation
- Improving the speed, consistency, and quality of research delivery
- Managing and developing team members while fostering technical excellence
- Partnering with senior stakeholders to support data acquisition and investment decisions
- Driving innovation through the application of data science techniques and emerging technologies
Your Skills & Experience
- Strong experience in Data Research, Data Science, Statistics, or a closely related field
- Proven ability to lead complex research projects from hypothesis generation through to actionable recommendations
- Expertise in analysing large, complex, and imperfect datasets
- Strong statistical knowledge with experience validating data and assessing relationships between datasets and business outcomes
- Commercial awareness and the ability to evaluate the value of data investments
- Experience leading technical teams and setting high standards for research quality
- Proficiency in Python and the ability to review technical work effectively
- Excellent stakeholder management and communication skills
- Experience within alternative data, investment research, financial data, or similar environments would be beneficial
What They Offer
- Salary of £100,000 – £150,000
- Fully remote working environment
- Opportunity to shape and scale a growing research function
- High levels of ownership and influence across the business
- Exposure to complex data challenges and commercially focused research projects
- Collaborative environment with strong opportunities for career progression and leadership development
How to Apply
To find out more about this Director of Data Research opportunity, please submit your application today.

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Insights/ Research Consultant Manager
London
£400 - £500
+ Advanced Analytics & Marketing Insights
ContractLondon
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Insights & Research Consultant Manager (Housing)
London/Northampton 3 Month Contract Outside IR35
This is a high-impact interim assignment for an experienced housing insights leader. Joining at a critical period, you will provide leadership to the insights function, support regulatory inspection readiness, and ensure reporting, governance, and evidence frameworks can withstand external scrutiny.
The Company
They are a large housing provider operating across London and the surrounding regions. As a regulated organisation focused on delivering high-quality services and positive outcomes for residents, they are preparing for a significant regulatory inspection. The business is seeking an experienced insights professional to provide leadership, challenge, and assurance across reporting and performance functions during this period.
The Role and Deliverables
- Lead the Insights function and manage a team of Senior Analysts.
- Support organisational readiness for a forthcoming housing regulatory inspection.
- Review reporting, governance, performance, and insight processes to ensure they are fit for purpose and inspection-ready.
- Work closely with senior stakeholders to prepare evidence, reporting packs, and responses for regulatory scrutiny.
- Assess existing insight and performance frameworks, identifying gaps and opportunities for improvement.
- Deliver strategic recommendations that strengthen reporting standards, governance, and decision-making across the organisation.
Your Skills & Experience
- Strong experience leading an Insights, Research, Customer Intelligence, Performance, or Reporting function within a Housing Association, Registered Provider, or social housing environment.
- Proven experience producing board-level reporting and performance insight for senior leadership.
- Strong understanding of housing regulation, governance, and performance management frameworks.
- Experience supporting regulatory inspections, audits, or similar assurance activities within regulated environments.
- Ability to review complex reporting and evidence structures, ensuring accuracy, consistency, and compliance.
- Experience influencing executive stakeholders and providing credible challenge and recommendations.
- Strong people leadership skills with experience managing and developing analytical teams.
- Knowledge of housing operations, service performance, complaints, and regulatory reporting requirements.
How to Apply
If you have experience leading housing insights teams and can provide immediate value around regulatory readiness, performance reporting, and governance, please apply to discuss this opportunity further.

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Director of Data Research
£100000 - £150000
+ Advanced Analytics & Marketing Insights
PermanentEngland
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Director of Data Research
Remote – UK Based
£100,000 – £150,000
This is an opportunity to lead a growing Data Research function within a scaling technology business. You will combine strategic leadership with hands-on statistical and data expertise, shaping how novel data sources are discovered, evaluated and transformed into commercially valuable insights.
The Company
They are a data-led technology business providing sophisticated KPI and market insights to investment professionals. Their platform combines first-party and third-party datasets with proprietary modelling techniques. Following recent investment and continued growth, they are strengthening their senior technology leadership team.
The Role
As Director of Data Research, you will set the technical direction for the function while leading and developing a growing team.
- Define and execute the data research strategy alongside senior technology and strategy stakeholders.
- Lead complex, open-ended research projects from hypothesis through to evidence-based recommendations.
- Establish rigorous standards for evaluating new datasets, improving accuracy, quality and speed.
- Develop approaches for assessing the commercial value of new data sources and supporting purchasing decisions.
- Drive greater statistical and technical sophistication across data research.
- Lead, hire and develop technical talent as the function scales.
- Use Python, SQL, statistical analysis and data modelling expertise to review and challenge technical work.
- Explore how AI can improve research quality, data evaluation and operational efficiency.
Your Skills & Experience
- Strong commercial or research experience across data science, statistics or a closely related quantitative discipline.
- Deep knowledge of statistical analysis, data modelling, feature engineering and messy real-world datasets.
- Strong Python and SQL capability, with the technical depth to provide meaningful oversight of complex work.
- Experience defining hypotheses and leading ambiguous research projects through to clear conclusions.
- Demonstrable experience leading and developing technical teams.
- Strong commercial judgement when assessing the costs, benefits and potential value of datasets.
- Ability to communicate complex technical findings and limitations clearly to senior and non-technical stakeholders.
- Comfortable making pragmatic decisions within a fast-moving, scaling environment.
- Experience with financial data, alternative data, investment research, first-party data collection or AI-enabled research workflows would be advantageous.
What They Offer
- Competitive salary based on experience.
- Remote-first working, with a preference for candidates based in the UK or Europe.
- Significant ownership of the direction and development of a growing Data Research function.
- The opportunity to influence data strategy at senior leadership level.
- Scope to build and develop a high-performing technical team as the organisation scales.
How to Apply
If you are a senior data leader who combines research expertise, technical depth and commercial judgement, apply to find out more.
