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Product Owner, Knowledge Graphs

Amsterdam (Hybrid) | €70,000 – 75,000 + Benefits

Are you passionate about turning complex legal knowledge into intelligent, scalable digital products?

This is an opportunity to join a forward-thinking organisation at the intersection of LegalTech, Data, and AI, where you will shape the roadmap for a knowledge graph platform that supports legal professionals in making faster, better-informed decisions.

The Company

They are a well-established professional services organisation investing heavily in data and AI-driven innovation. Their teams work on complex information challenges, developing products that transform how knowledge is captured, connected, and consumed.

With a strong focus on emerging technologies, they are building advanced knowledge management capabilities that enable better search, discovery, and insight generation. This role sits within a growing product function with significant visibility and impact across the business.

The Role

As Product Owner, you will lead the development and evolution of a knowledge graph platform designed to connect legal data, documents, expertise, and processes.

Key responsibilities include:

• Own and prioritise the product backlog for knowledge graph and semantic data initiatives
• Translate business and user needs into clear product requirements and user stories
• Work closely with data engineers, knowledge engineers, software developers, and legal subject matter experts
• Define and communicate product vision, roadmap, and delivery priorities
• Drive adoption of graph technologies to improve search, discovery, and knowledge management capabilities
• Balance stakeholder requirements with technical feasibility and strategic objectives
• Monitor product performance and user feedback to inform future enhancements
• Support the delivery of AI and data products that leverage structured knowledge assets

Your Skills & Experience

• Strong commercial experience as a Product Owner, Product Manager, or similar product leadership role
• Experience delivering data, AI, analytics, or knowledge management products
• Understanding of knowledge graphs, semantic technologies, ontology management, or graph databases such as Neo4j
• Ability to engage effectively with both technical and non-technical stakeholders
• Experience gathering requirements and translating them into actionable product roadmaps
• Strong prioritisation and decision-making capabilities
• Familiarity with Agile delivery methodologies and product development best practices
• Interest in LegalTech, professional services, enterprise knowledge management, or information retrieval

What They Offer

• Salary of €70,000 – 75,000 depending on experience
• Performance-related bonus
• Comprehensive benefits package
• Hybrid working model based in Amsterdam
• Exposure to cutting-edge AI, data, and knowledge graph technologies
• Clear career progression within a growing product and innovation function
• Opportunity to influence the direction of a business-critical platform

How to Apply

If you are a Product Owner with experience in knowledge graphs, semantic technologies, or data-driven products and are looking to make a meaningful impact within an innovative legal environment, apply today to learn more.

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Data Analyst

Location: Austin, TX or Miami, FL (Hybrid, 4 days onsite)
Compensation: Up to $140,000 base + Sign-On Bonus
Work Authorization: U.S. Citizen or Green Card Holder only. No sponsorship available.

A rapidly growing financial services organization is seeking a Data Analyst to join its expanding analytics team. This role will partner closely with Finance, Compliance, HR, and business leaders to deliver reporting, analytics, and data-driven insights across the organization.

What You’ll Do

• Build and enhance reporting and analytics solutions for business stakeholders.
• Analyze complex datasets and translate findings into actionable insights.
• Partner with cross-functional teams to solve business problems using data.
• Support data pipelines, reporting infrastructure, and data quality initiatives.
• Develop dashboards and visualizations to drive decision-making.

What We’re Looking For

• Strong SQL skills (primary technical requirement).
• Experience with Tableau (or similar BI tools), Databricks, and dbt.
• Strong analytical and problem-solving abilities.
• Experience working directly with business stakeholders.
• Bachelor’s degree in Mathematics, Engineering, Information Systems, or a related quantitative field preferred.

Ideal Candidate

• Highly detail-oriented with a strong quality mindset.
• Able to bridge technical and business conversations.
• Comfortable owning projects from requirements gathering through delivery.
• Thrives in a fast-paced, high-growth environment.

Apply today to join a growing team with significant visibility, impact, and long-term career growth opportunities.

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Director of Quality Engineering

Location: Fully Remote – U.S.
Travel: Occasional travel to Dallas, TX, potentially once per quarter
Compensation: $245,000-$270,000 base + 20% annual bonus
Benefits: Healthcare + 401(k)
Work Authorization: U.S. Citizens and Green Card holders only – no sponsorship

Candidates cannot currently reside in California, New York, Hawaii, North Dakota, Oregon, Rhode Island, Washington, or Wyoming.

About the Company

A large, mission-driven healthcare organization is investing heavily in modern engineering, automation, AI, and customer-facing digital experiences.

Operating at significant enterprise scale, the organization is accelerating its technology strategy and building modern capabilities across software engineering, data, AI, and digital products.

As engineering velocity increases, leadership is rethinking how quality is built into the software development lifecycle. The organization is now establishing a modern, automation-first Quality Engineering function capable of supporting both traditional software and the next generation of AI-enabled products.

About the Role

The Director of Quality Engineering will lead the transformation of an established, predominantly manual QA environment into a modern, automation-first Quality Engineering organization.

This is a true build opportunity.

Today, an existing QA team supports approximately 25 development teams, but there is no dedicated SDET function. The incoming Director will own the existing QA organization while building the technical capabilities, automation frameworks, SDET talent, standards, tooling, and operating model required for the future.

The immediate priority is establishing scalable deterministic automation across API, UI, integration, regression, performance, accessibility, and end-to-end testing while embedding quality directly into CI/CD and engineering workflows.

Longer term, the organization has an ambitious vision for AI-enabled and agentic testing-moving toward intelligent systems capable of generating tests, identifying defects, selecting regression coverage, and eventually executing increasingly complex testing workflows based on intent.

The successful candidate will be a builder who has transformed Quality Engineering before and is excited by the opportunity to create the strategy rather than inherit one.

Key Responsibilities

• Define and execute the enterprise Quality Engineering strategy
• Lead the transformation from manual-heavy QA toward an automation-first engineering model
• Build a multi-year roadmap across automation, tooling, talent, metrics, and operating model modernization
• Establish and scale a dedicated SDET and test automation capability
• Lead the existing QA organization through its transition toward a more technical, automation-oriented model
• Design scalable automation frameworks across API, UI, integration, regression, performance, accessibility, and end-to-end testing
• Embed automated testing into CI/CD pipelines, development workflows, and release gates
• Establish shift-left testing practices and reduce reliance on late-stage manual validation
• Define enterprise standards for quality gates, release readiness, regression testing, defect triage, and production validation
• Establish meaningful metrics around automation coverage, defect leakage, test effectiveness, release predictability, and production stability
• Introduce AI-enabled approaches to test generation, maintenance, defect analysis, regression selection, and synthetic data
• Partner with Engineering, Product, Architecture, Security, Data, AI, and Operations teams
• Establish evaluation and quality practices for AI-enabled and agentic systems
• Support validation of AI behavior, guardrails, traceability, safety, errors, fallback behavior, and human-in-the-loop workflows
• Build, coach, and develop technical Quality Engineering talent

Must Haves

• 15+ years of experience across Quality Engineering, software quality, test automation, Software Engineering, or related technology delivery
• 7+ years of Quality Engineering, SDET, automation, QA, or engineering leadership
• Proven experience transforming manual QA environments into automation-first Quality Engineering organizations
• Experience building or substantially scaling test automation capabilities
• Experience leading technical Quality Engineering, SDET, or engineering-adjacent teams
• Deep understanding of modern test automation architecture and frameworks
• Strong experience across API, UI, integration, regression, performance, and end-to-end testing
• Experience embedding automated testing into CI/CD pipelines and release gates
• Strong understanding of shift-left testing and engineering-owned quality
• Experience defining quality gates, release-readiness standards, automation metrics, and testing strategy
• Strong understanding of modern software engineering, Agile, CI/CD, and DevSecOps
• Experience leading significant technical and organizational transformation
• Ability to influence Engineering, Product, Architecture, Security, Operations, and executive stakeholders
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or another related technical discipline

AI & Next-Generation Quality Engineering

The strongest candidates will bring a point of view on where Quality Engineering is heading-not simply how testing has traditionally been done.

Experience or strong technical exposure in areas such as the following will stand out:

• AI-assisted test generation and maintenance
• Intelligent regression selection
• AI-assisted defect analysis
• Synthetic test data
• AI evaluation frameworks
• GenAI and conversational-system testing
• Expected-behavior and guardrail validation
• Hallucination and error detection
• Human-in-the-loop validation
• Agentic or intent-based testing
• Automated monitoring and feedback loops for AI systems

The longer-term objective is not simply to automate manual test cases. It is to create a Quality Engineering capability capable of supporting increasingly intelligent and autonomous software systems.

Nice to Have

• Playwright, Maestro, or comparable modern automation frameworks
• Experience building an SDET organization from the ground up
• Experience transforming an established manual QA workforce
• AI, GenAI, machine learning, or agentic-system testing experience
• Experience with customer-facing or mission-critical digital products
• Healthcare or health technology experience
• Financial services, life sciences, or another regulated/high-trust industry
• Experience managing vendor, partner, or distributed QA resources
• Master’s degree in a relevant technical discipline

Healthcare experience is valuable but is not the primary requirement for this search. Deep automation expertise and experience building technical Quality Engineering capabilities are significantly more important.

Why Join

• Build an enterprise Quality Engineering capability from a near-blank slate
• Define the automation strategy, frameworks, tooling, standards, and operating model
• Establish a dedicated SDET capability
• Transform an established manual QA environment rather than simply optimize an already mature automation program
• Own both the technical strategy and organizational evolution
• Build automation directly into modern engineering and CI/CD workflows
• Help define how Quality Engineering evolves for GenAI and agentic systems
• Work toward an ambitious longer-term vision for intent-based and agentic testing
• Partner directly with senior Engineering, Product, Architecture, Data, and AI leaders
• Work on customer-facing technology where quality and reliability have meaningful real-world impact
• Fully remote with limited travel to Dallas, TX

To Apply for this Job Click Here

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Director of Quality Engineering

Location: Fully Remote – U.S.
Travel: Occasional travel to Dallas, TX, potentially once per quarter
Compensation: $245,000-$270,000 base + 20% annual bonus
Benefits: Healthcare + 401(k)
Work Authorization: U.S. Citizens and Green Card holders only – no sponsorship

Candidates cannot currently reside in California, New York, Hawaii, North Dakota, Oregon, Rhode Island, Washington, or Wyoming.

About the Company

A large, mission-driven healthcare organization is investing heavily in modern engineering, automation, AI, and customer-facing digital experiences.

Operating at significant enterprise scale, the organization is accelerating its technology strategy and building modern capabilities across software engineering, data, AI, and digital products.

As engineering velocity increases, leadership is rethinking how quality is built into the software development lifecycle. The organization is now establishing a modern, automation-first Quality Engineering function capable of supporting both traditional software and the next generation of AI-enabled products.

About the Role

The Director of Quality Engineering will lead the transformation of an established, predominantly manual QA environment into a modern, automation-first Quality Engineering organization.

This is a true build opportunity.

Today, an existing QA team supports approximately 25 development teams, but there is no dedicated SDET function. The incoming Director will own the existing QA organization while building the technical capabilities, automation frameworks, SDET talent, standards, tooling, and operating model required for the future.

The immediate priority is establishing scalable deterministic automation across API, UI, integration, regression, performance, accessibility, and end-to-end testing while embedding quality directly into CI/CD and engineering workflows.

Longer term, the organization has an ambitious vision for AI-enabled and agentic testing-moving toward intelligent systems capable of generating tests, identifying defects, selecting regression coverage, and eventually executing increasingly complex testing workflows based on intent.

The successful candidate will be a builder who has transformed Quality Engineering before and is excited by the opportunity to create the strategy rather than inherit one.

Key Responsibilities

• Define and execute the enterprise Quality Engineering strategy
• Lead the transformation from manual-heavy QA toward an automation-first engineering model
• Build a multi-year roadmap across automation, tooling, talent, metrics, and operating model modernization
• Establish and scale a dedicated SDET and test automation capability
• Lead the existing QA organization through its transition toward a more technical, automation-oriented model
• Design scalable automation frameworks across API, UI, integration, regression, performance, accessibility, and end-to-end testing
• Embed automated testing into CI/CD pipelines, development workflows, and release gates
• Establish shift-left testing practices and reduce reliance on late-stage manual validation
• Define enterprise standards for quality gates, release readiness, regression testing, defect triage, and production validation
• Establish meaningful metrics around automation coverage, defect leakage, test effectiveness, release predictability, and production stability
• Introduce AI-enabled approaches to test generation, maintenance, defect analysis, regression selection, and synthetic data
• Partner with Engineering, Product, Architecture, Security, Data, AI, and Operations teams
• Establish evaluation and quality practices for AI-enabled and agentic systems
• Support validation of AI behavior, guardrails, traceability, safety, errors, fallback behavior, and human-in-the-loop workflows
• Build, coach, and develop technical Quality Engineering talent

Must Haves

• 15+ years of experience across Quality Engineering, software quality, test automation, Software Engineering, or related technology delivery
• 7+ years of Quality Engineering, SDET, automation, QA, or engineering leadership
• Proven experience transforming manual QA environments into automation-first Quality Engineering organizations
• Experience building or substantially scaling test automation capabilities
• Experience leading technical Quality Engineering, SDET, or engineering-adjacent teams
• Deep understanding of modern test automation architecture and frameworks
• Strong experience across API, UI, integration, regression, performance, and end-to-end testing
• Experience embedding automated testing into CI/CD pipelines and release gates
• Strong understanding of shift-left testing and engineering-owned quality
• Experience defining quality gates, release-readiness standards, automation metrics, and testing strategy
• Strong understanding of modern software engineering, Agile, CI/CD, and DevSecOps
• Experience leading significant technical and organizational transformation
• Ability to influence Engineering, Product, Architecture, Security, Operations, and executive stakeholders
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or another related technical discipline

AI & Next-Generation Quality Engineering

The strongest candidates will bring a point of view on where Quality Engineering is heading-not simply how testing has traditionally been done.

Experience or strong technical exposure in areas such as the following will stand out:

• AI-assisted test generation and maintenance
• Intelligent regression selection
• AI-assisted defect analysis
• Synthetic test data
• AI evaluation frameworks
• GenAI and conversational-system testing
• Expected-behavior and guardrail validation
• Hallucination and error detection
• Human-in-the-loop validation
• Agentic or intent-based testing
• Automated monitoring and feedback loops for AI systems

The longer-term objective is not simply to automate manual test cases. It is to create a Quality Engineering capability capable of supporting increasingly intelligent and autonomous software systems.

Nice to Have

• Playwright, Maestro, or comparable modern automation frameworks
• Experience building an SDET organization from the ground up
• Experience transforming an established manual QA workforce
• AI, GenAI, machine learning, or agentic-system testing experience
• Experience with customer-facing or mission-critical digital products
• Healthcare or health technology experience
• Financial services, life sciences, or another regulated/high-trust industry
• Experience managing vendor, partner, or distributed QA resources
• Master’s degree in a relevant technical discipline

Healthcare experience is valuable but is not the primary requirement for this search. Deep automation expertise and experience building technical Quality Engineering capabilities are significantly more important.

Why Join

• Build an enterprise Quality Engineering capability from a near-blank slate
• Define the automation strategy, frameworks, tooling, standards, and operating model
• Establish a dedicated SDET capability
• Transform an established manual QA environment rather than simply optimize an already mature automation program
• Own both the technical strategy and organizational evolution
• Build automation directly into modern engineering and CI/CD workflows
• Help define how Quality Engineering evolves for GenAI and agentic systems
• Work toward an ambitious longer-term vision for intent-based and agentic testing
• Partner directly with senior Engineering, Product, Architecture, Data, and AI leaders
• Work on customer-facing technology where quality and reliability have meaningful real-world impact
• Fully remote with limited travel to Dallas, TX

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Staff Engineer, Data Engineering

Fully Remote – within the US | Up to $220,000 Base

Seeking a senior-level Data Engineering leader to drive enterprise data architecture, scalable data platforms, and AI-powered initiatives across multiple business units. This role combines hands-on engineering with technical leadership, influencing data strategy, architecture standards, and cross-functional collaboration.

Key Requirements:

• 8+ years in Data Engineering, Data Architecture, or related field
• Strong experience with Snowflake, BigQuery, or similar cloud data platforms
• Expertise building large-scale data pipelines (batch and streaming)
• Python, Data Architecture, and distributed data systems experience
• Background with AI/ML, LLMs, or production AI solutions
• Proven technical leadership, mentorship, and architecture ownership
• Experience with Kafka, Spark, Airflow, Kubernetes, or similar technologies preferred

Work Authorization: GC or USC only.
Location: Fully Remote.

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Forecasting Analyst – Omnichannel | 6-Month FTC | Up to £55k

I’m currently recruiting for a Forecasting Analyst to join a growing Revenue Growth Management team within a leading UK retail business.

This is a 6-month FTC, paying up to £55k, and would suit a commercially minded analyst with experience in retail, merchandising, trading or forecasting.

The role:

• Build sales forecasts across Retail & E-commerce

• Work closely with Trading, Retail, Category, Supply Chain, Finance and Demand Planning

• Analyse trading activity, promotions and performance

• Support sales and margin forecasting

• Present insights and recommendations to senior stakeholders

• Deliver ad-hoc commercial analysis to support decision-making

Looking for:

• Strong Excel and analytical skills

• Forecasting, merchandising or commercial analytics experience

• Retail/omnichannel background

• Strong commercial acumen

• Excellent stakeholder and relationship-management skills

• Someone commercially focused rather than highly technical

London
Up to £55k
6-month FTC

Interested? Find out more and apply via the link below!

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Senior Data Scientist / Credit Risk Analyst
Remote (UK)
£70,000 – £85,000

Join a growing fintech using data, AI and analytics to transform the payments space. This is a high-impact role offering exposure to credit risk, fraud, machine learning and commercial strategy, with direct access to senior leadership.

The Company
A venture-backed fintech in the payments space. They combine advanced analytics, machine learning and alternative data sources to help customers make smarter, faster risk decisions.

The Role

• Build and improve credit risk, fraud and pricing models
• Use analytics to inform strategy, limit optimisation and decisioning
• Develop machine learning solutions and predictive models
• Monitor portfolio performance and identify emerging risks
• Work with customers and partners to solve complex risk challenges
• Collaborate closely with founders and senior stakeholders

Your Skills & Experience

• Strong commercial experience in Credit Risk, Fraud Analytics or Data Science
• Python and SQL expertise
• Experience building predictive models and delivering business insights
• Background in fintech, financial services, payments, lending or consulting
• Strong communication and stakeholder management skills
• UK market experience

What They Offer

• £70,000 – £85,000 base salary
• Equity package
• Private medical insurance, including family cover
• Pension scheme
• Fully remote working
• International company offsites twice a year
• Excellent career growth within a scaling business

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This is an exciting opportunity to join a fast-growing analytics and research business operating at the intersection of sport, media, and technology. Working with industry-leading datasets and commercial insights, you will help shape understanding of one of the most dynamic areas of the sports industry while building your profile as a subject matter expert.

The Company
They are a specialist research and analytics organisation supporting decision-making across the media, entertainment, and sports sectors. Their work informs some of the most influential organisations in the industry, providing data-led insights into market trends, commercial strategy, and emerging opportunities. With a collaborative and intellectually curious culture, they offer an environment where analytical talent can thrive and develop.

The Role
As a Senior Analyst within the Sports Media Rights team, you will play a key role in expanding and maintaining a leading media rights intelligence product.
Responsibilities include:

• Managing and enhancing databases covering global sports media rights agreements
• Building and maintaining Excel-based models to support market analysis and forecasting
• Conducting research into sports broadcasting, streaming, and media rights trends
• Producing high-quality analytical reports, insights, and thought leadership content
• Identifying and interpreting developments across the sports media landscape
• Supporting commercial teams with client-facing analysis and industry expertise
• Contributing to bespoke consulting and research projects for a range of stakeholders

Your Skills & Experience

• Strong commercial experience analysing sports media rights, sports business, broadcasting, or related markets
• Excellent Excel skills, including data manipulation, modelling, and analytical problem-solving
• Understanding of how sports media rights deals are structured, negotiated, and valued
• Experience working with large datasets and transforming information into actionable insights
• Strong research and analytical capabilities with excellent attention to detail
• Ability to communicate complex findings clearly through written reports and presentations
• Experience within a sports rights holder, broadcaster, agency, consultancy, research firm, or similar environment
• Exposure to SQL, Python, or other analytical tools would be beneficial but is not essential

What They Offer

• Ongoing professional development and industry exposure
• Opportunity to work closely with recognised experts across sport and media
• Clear progression opportunities within a growing business
• Collaborative and supportive working culture

How to Apply
If you have a strong background in sports media rights and advanced Excel skills and are looking to take the next step in your analytics career, apply today to discuss the opportunity in more detail.

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Senior Analyst – Sports Media Rights | London | £40k-£50k

We’re working with a leading global sports intelligence and analytics business that is growing its Media Rights team and looking to hire a Senior Analyst in London.

This is a great opportunity for someone with 2-4 years’ experience and a strong understanding of sports media rights, broadcasting and the wider sports media landscape.

The role will involve:

• Tracking and analysing the global sports media rights market
• Researching and maintaining a database of rights deals
• Analysing deal structures and commercial trends
• Using proprietary models to value sports media rights
• Working with data to identify trends and generate insights
• Producing reports and client-ready analysis
• Supporting dashboards and data-driven products
• Responding to bespoke client questions and research requests

We’re particularly interested in candidates with experience from sports rights holders, broadcasters, sports agencies, media businesses or sports/media consultancies.

You’ll need strong Excel, data analysis and modelling skills, as well as the ability to understand the commercial logic behind rights valuations and challenge whether outputs and assumptions make sense.

Sports media rights / TV broadcasting knowledge is essential – this could come from experience working directly with rights, broadcasting, media deals, sports commercial strategy or related areas.

Salary: £40k-£50k
Location: London

If you have a background in sports media rights, broadcasting or sports commercial analysis and are open to a new opportunity, please get in touch for more information.

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AI Product Engineer

Bay Area, Hybrid (minimum 3 days per week in office)

About the Role

Join a fast-growing compliance technology company at a pivotal moment: the shift from reactive, user driven AI features to true agentic systems that take autonomous action on customers’ behalf. This isn’t prototype work, it’s production grade AI, built to help enterprise customers achieve and demonstrate compliance end to end, with minimal manual intervention.

You’ll work within a small, focused team building agentic capabilities in a specific product domain, partnering closely with a dedicated product manager. Expect real ownership from the ground up: you’re not adding features to an existing system, you’re building the agents that will define how customers interact with the platform. The architecture is evolving toward a shared platform layer, so you’ll also collaborate across teams to keep the customer experience unified.

Day to day is roughly 80% coding and system design, 20% meetings.

Examples of What You Might Build

• An agent that autonomously helps customers remediate failing compliance controls and get them to a passing state
• An agent that autonomously demonstrates compliance on a customer’s behalf, fully automated

What You’ll Need

• Production experience building and shipping agentic AI systems in a customer facing environment, not research or prototyping
• Deep familiarity with the full agentic lifecycle: prompt engineering, evaluation, iteration, debugging, and scaling
• A strong traditional software engineering foundation (full stack or backend) with a deliberate transition into AI engineering
• Proven bias for ownership; you can speak clearly to what you built, why, and the trade-offs you navigated
• Proficiency in Python or TypeScript
• Experience running structured AI evaluations and iterating based on real results
• 4+ years of relevant experience

Nice to Have

• RAG (retrieval augmented generation) experience
• Experience with agent frameworks or LLM orchestration tooling (e.g., AWS Bedrock, LangChain, or similar)

Compensation & Benefits

Base Salary: $165,000 to $240,000 + RSUs

To Apply for this Job Click Here

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QA Engineer (Automation)
Rotterdam, Netherlands | Competitive Salary + Benefits

This is an excellent opportunity for a QA Engineer with a passion for test automation to join a technology-focused organisation undergoing continued digital growth. You will play a key role in improving software quality, driving automation best practices, and helping deliver reliable products used by a large customer base.

The Company
They are a fast-growing digital business with a strong focus on technology, innovation, and customer experience. Their engineering teams work in a collaborative environment where quality is embedded throughout the development lifecycle. The organisation invests heavily in modern tools, automation, and scalable systems to support ongoing growth. This role offers the chance to influence testing strategy while working alongside experienced product and engineering professionals.

The Role

• Design, develop, and maintain automated test frameworks and test suites.
• Improve software quality through effective automation and continuous testing practices.
• Collaborate with developers, product teams, and engineers to define testing requirements.
• Identify, investigate, and document defects and support their resolution.
• Contribute to CI/CD pipelines and help integrate automated testing into deployment processes.
• Monitor test results and provide clear insights on product quality and performance.
• Support the development of quality assurance standards and testing best practices.
• Drive continuous improvement across testing processes, tools, and methodologies.

Your Skills & Experience

• Strong commercial experience in QA Engineering with a focus on test automation.
• Experience building and maintaining automated testing frameworks.
• Knowledge of modern programming or scripting languages used in test automation.
• Experience working with web application testing and API testing.
• Familiarity with CI/CD environments and automated deployment workflows.
• Understanding of software development lifecycles and agile delivery methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management capabilities.

What They Offer

• Competitive salary and comprehensive benefits package.
• Hybrid working options and workplace flexibility.
• Access to modern technologies, tools, and engineering practices.
• Opportunities to contribute to testing strategy and automation initiatives.
• Clear career progression within a growing technology environment.
• A collaborative culture that supports learning, development, and knowledge sharing.

How to Apply
If you are a QA Engineer with strong automation skills and a passion for improving software quality, apply today to discuss this opportunity in more detail.

To Apply for this Job Click Here

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Head of Analytics

London (Hybrid)

£140,000-£160,000 + Bonus

This is a high-impact opportunity to lead a centralised Analytics & MI function through a major transformation, with a particular focus on AI adoption, commercial insight, data strategy and decisioning; you’ll have significant exposure to the C-suite and the opportunity to shape how analytics is used across a fast-moving, data-rich financial services business!

The Company

This is an established and growing financial services business undergoing significant transformation across its analytics, decisioning and AI capabilities. The business is investing heavily in its data infrastructure and decisioning capabilities, while looking to move its analytics function beyond traditional reporting and towards actionable, commercially focused insight. You’ll join at an exciting point in that journey, with the opportunity to influence the analytics strategy and build a modern, AI-enabled function.

The Role

As Head of Analytics, you’ll report directly to the Chief Analytics Officer and lead a centralised Analytics & MI function supporting stakeholders across the business, including Finance, Marketing and the C-suite. The role blends strategic leadership and hands-on delivery, giving you the opportunity to influence the direction of the function while remaining close to the analytics itself. You’ll lead and develop the existing Analytics & MI team, while also line managing the Decision Engine Manager and overseeing the migration to a new decisioning platform.

Key responsibilities will include:

• Lead and develop a centralised Analytics & MI function
• Build a high-performing, insight-led analytics culture
• Develop managers and analysts and support future team growth
• Shift analytics from traditional reporting towards actionable commercial insight
• Improve data storytelling and senior stakeholder engagement
• Manage and prioritise a shared analytics workstack across Finance, Marketing and C-suite stakeholders
• Lead the adoption of AI tools within analytics, including LLM and coding tools
• Establish governance, best practice and optimisation around AI usage
• Oversee the development of scalable gold-layer datasets
• Drive reporting automation using modern data technologies such as Snowflake and Power BI
• Improve data structures, governance and reporting processes
• Line manage the Decision Engine Manager and oversee the migration to a new platform
• Influence business-wide analytics, data and decisioning strategy
• Act as a senior analytics voice across the organisation

A key part of the role will be understanding how AI can be applied commercially, rather than simply having theoretical knowledge of the technology. You’ll be expected to understand the evolving AI tooling landscape, its advantages and limitations, and how it can make analytics teams faster and more effective.

Your Skills & Experience

You’ll be an experienced Analytics leader with a strong track record of managing teams and influencing senior stakeholders.

I’m particularly interested in candidates with:

• Proven leadership experience across Analytics, MI or Data Analytics
• Experience managing and developing analytics teams
• Strong experience turning data into actionable commercial recommendations
• Proven ability to influence C-suite and senior stakeholders
• Strong hands-on technical capability, ideally including SQL and Python
• Experience working with modern data stacks such as Snowflake, Power BI or similar
• Experience improving data structures, reporting and analytics processes
• A strong understanding of data strategy and analytics transformation
• Practical experience using AI/LLM tools within analytics
• A good understanding of the wider AI tooling landscape and its commercial applications
• Experience embedding AI, automation or advanced analytics into business processes

Financial Services experience is strongly preferred, particularly candidates who have worked across areas such as lending, credit, banking, fintech or risk. Candidates with experience managing Risk Analytics or Risk teams would be particularly relevant. The client are also open to strong candidates from other data-rich, commercially driven sectors such as insurance, airlines or technology, provided you’re comfortable operating in a fast-moving and relatively unstructured environment.

The Benefits

• £140,000 – £160,000 salary
• Bonus – up to 20%

How to Apply

If you’re interested in this opportunity and have the analytics leadership, financial services/risk experience and practical AI exposure we’re looking for, please apply now. For more information, or to discuss the role confidentially, please contact Adam Osborne at Harnham.

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