Harnham - Data & Analytics Recruitment

Senior Econometrician Up to £60,000 Hybrid - London A great opportunity to join a leading marketing agency as a Senior Econometrician THE COMPANY The business are a leading marketing agency specialised in content creation, social campaigns and media measurement across the globe. Working with clients from various different sectors the business are now looking to grow out the team due to an influx of new projects - and are seeking to hire a Senior Econometrician to join their Measurement team. THE ROLE AND RESPONSIBILITIES Supporting the team on econometrics projects including maintaining, running, and building MMM models from scratch Collecting, preparing and cleansing datasets from various sources Presenting key insights to clients and senior stakeholders Analysing marketing data and providing insights and recommendations to clients Support clients with optimising marketing and advertising spend YOUR KEY SKILLS AND EXPERIENCE Proven track-record building MMM/Econometrics models from scratch Background in marketing analytics or customer analytics Strong technical experience Strong communication skills THE BENEFITS Up to £60,000 Hybrid London HOW TO APPLY If interested in the role please send your CV to Jordan Victor via the Apply Link below

Business Intelligence & Visualisation Lead Up to £60,000 12-Month FTC (Maternity Cover) Remote (4x a year Birmingham or London) I'm hiring a Business Intelligence & Visualisation Lead for a nationally recognised organisation at the heart of the UK's tourism industry. This is a fantastic opportunity for an experienced BI professional to take ownership of reporting, dashboarding, and self-service analytics across the business, supporting stakeholders with the data and insight they need to make informed decisions. The role You'll be the sole BI specialist within the Data & Analytics team , responsible for maintaining and developing the organisation's reporting capability during a major period of data transformation. Working closely with the Head of Data & Analytics, Analytics Lead, Data Engineer, and Business Analyst, you'll play a critical role in ensuring reporting continuity while continuing to develop modern self-service analytics capabilities. This role combines: Power BI development Microsoft Fabric reporting Data modelling & semantic layers Stakeholder engagement Self-service analytics Reporting governance What you'll be doing Business Intelligence & Reporting Design, develop, and maintain Power BI dashboards and reports. Build and improve self-service analytics capability across the organisation. Create robust reporting solutions that support evidence-based decision-making. Ensure reporting outputs are accurate, scalable, and user-friendly. Data Modelling & Engineering Develop and maintain semantic layers and reporting views. Write SQL and DAX to support reporting requirements. Work with Azure Databricks and Microsoft Fabric environments. Support the transition away from an external data transformation partner. Stakeholder Engagement Gather requirements from stakeholders across the organisation. Translate business needs into effective reporting solutions. Present data and insight in an accessible, actionable format. Manage expectations around reporting priorities and delivery. Governance & Delivery Maintain reporting documentation and standards. Ensure GDPR and data governance compliance. Contribute to agile sprint delivery and roadmap planning. Identify risks, blockers, and data quality issues proactively. What they're looking for Essential Significant experience in BI, reporting, or analytics roles. Strong Power BI experience. Strong SQL skills. Experience with Azure Databricks. Experience developing semantic layers and reporting models. Strong stakeholder engagement and requirements gathering skills. Experience operating in agile or sprint-based environments. Ability to work independently and manage competing priorities. Nice to have Microsoft Fabric experience. Python experience. Jira experience. Experience with AI-assisted analytics tools such as Power BI Copilot or Databricks Genie. Why this role? Be the key BI expert within the Data & Analytics function. Work with modern technologies including Fabric and Databricks. Significant stakeholder exposure and business impact. Opportunity to shape self-service analytics capability. Join an organisation investing heavily in data, analytics, and AI. Contract 12-month maternity cover Salary up to £60,000 Full-time If you're a BI professional who enjoys combining Power BI development, stakeholder engagement, data modelling, and self-service analytics, this is an excellent opportunity to step into a high-impact role.

Business Intelligence & Visualisation Lead Contract: 12-month maternity cover Location: London / Hybrid Working - 1/2x a month in office Salary: Up to £60,000 + benefits I'm currently representing a leading UK organisation that is looking for a Business Intelligence & Visualisation Lead to join its Data & Analytics function on a 12-month maternity cover contract. This is a hands-on BI role where you'll take ownership of the organisation's reporting and visualisation capability, working closely with senior stakeholders to deliver accurate, user-friendly insights that support business decision-making. The Role You'll be responsible for: Designing, developing and maintaining Power BI dashboards and reports Building and supporting self-service analytics capabilities Writing strong DAX and SQL to develop reporting, views and semantic layers Working with Azure Databricks to support BI and reporting workloads Maintaining and stabilising existing analytical assets Ensuring data quality, accuracy and consistency across reporting Working within an Agile / sprint-based environment , managing your own workload against a prioritised roadmap Working closely with Business Analysts and stakeholders to translate requirements into effective reporting solutions Presenting insights clearly to both technical and non-technical audiences Supporting data governance, GDPR compliance and documentation standards Exploring opportunities to embed AI-assisted analytics into reporting workflows About You The ideal candidate will have: Strong professional experience within BI, data analytics or reporting Hands-on Power BI development experience Strong SQL skills Experience working with Azure Databricks Experience building views and/or semantic layers to support BI reporting Experience translating business requirements into clear reporting solutions Experience working in an Agile / sprint-based delivery environment Understanding of data governance, data quality and GDPR Strong stakeholder management and communication skills The ability to work independently and take ownership of BI delivery Desirable Experience with Microsoft Fabric An interest in using AI tools such as Power BI Copilot or Databricks Genie Python experience within Databricks Experience using Jira Public sector, tourism or destination marketing experience if you are interested in the role, please apply. To follow up please message me on LinkedIn.

Customer Analytics Manager (12 Month FTC) London (Hybrid, 3 days per week) Up to £70,000 An exciting opportunity has arisen for a Customer Analytics Manager to join a well-established consumer business on a 12-month fixed-term contract. This role offers the chance to lead the customer analytics agenda, shape strategic decision-making, and deliver insights that directly influence customer retention, loyalty, profitability, and growth. You'll work with senior stakeholders across the business and play a key role in driving a customer-centric culture through data. The Company They are a leading consumer-focused retail organisation with a significant UK presence and a large, engaged customer base across both digital and physical channels. Data and analytics are central to their decision-making, with a mature analytics function that supports commercial, customer, marketing, and operational strategy. The wider analytics team brings together specialists across customer analytics, data science, marketing analytics, and AI. Over recent years, they have invested heavily in improving how customer data is used across the business, creating a strong environment for analytics professionals to make a genuine commercial impact. The Role You will: Own the customer analytics agenda, delivering insight across customer behaviour, retention, loyalty, profitability, and lifetime value. Lead customer reporting, KPI tracking, and deep-dive analysis to identify opportunities and risks. Develop meaningful customer segmentation and profiling strategies to support business decision-making. Apply advanced analytical techniques including clustering, regression analysis, predictive modelling, and campaign measurement. Translate complex findings into clear, commercially focused recommendations for senior stakeholders. Build strong relationships across multiple business functions, acting as a trusted analytics partner. Support the ongoing development of customer understanding and help drive data-led decision-making across the organisation. Contribute to analytical best practice and mentor junior team members where required. Your Skills & Experience Strong SQL skills and experience working with large customer datasets. Expertise in customer analytics, customer insight, or CRM analytics. Experience delivering customer segmentation, clustering, predictive modelling, and statistical analysis. Strong data visualisation and reporting experience using modern BI tools. Excellent stakeholder management and communication skills, with the ability to influence non-technical audiences. Exposure to analytical techniques such as k-means clustering, regression modelling, random forest, or similar methods. Experience leading projects and managing multiple priorities in a commercial environment. Previous mentoring or line management experience would be beneficial. What They Offer Opportunity to lead a high-profile customer analytics function. Exposure to senior stakeholders and strategic decision-making. Collaborative analytics environment with strong investment in data and insight capabilities. The chance to make a measurable impact on customer strategy within a well-established business. How to Apply If you are passionate about customer analytics and enjoy turning data into commercially actionable insight, please apply today to learn more about this Customer Analytics Manager opportunity.

Customer Analytics Manager Fashion Retail London (Hybrid) 12-Month FTC Up to £70k We're working with a leading British fashion retailer with a large store network, a major online presence and millions of active customers. They're looking to hire a Customer Analytics Manager on a 12-month fixed-term contract. This is a great opportunity for an experienced customer analytics professional to lead a team that has changed how the wider business uses customer data, helping teams such as finance and brand marketing make better customer decisions every day. The role will involve: Owning the customer analytics agenda across customer behaviour, retention, loyalty, profitability and lifetime value Leading customer reporting and deep-dive analysis Turning complex data into clear, commercial recommendations for senior stakeholders Driving advanced analytics, including segmentation, clustering, predictive modelling and campaign measurement Leading customer profiling to identify behavioural trends, opportunities and risks Acting as a trusted analytics partner to stakeholders across the business Building clear customer stories that link behaviour to sales, retention and commercial performance We're particularly interested in candidates with a strong core background in customer analytics and customer insight. You'll need strong SQL and data visualisation skills, as well as hands-on experience with advanced techniques such as segmentation, clustering, regression and predictive modelling (for example k-means and random forest). Strong stakeholder communication is essential, as this role involves influencing senior teams across the business. Line management experience would be a bonus. Salary: Up to £70k + benefits Location: London (hybrid) Contract: 12-month fixed-term contract If interested, please apply below to find out more.

This is an opportunity to lead a Data Services function covering Business Intelligence, Data Science, Digital Analytics, and Marketing Technology. You will shape strategy, develop teams, and drive the adoption of AI across data services. The Company They are a global organisation operating across data, analytics, technology, and digital marketing. Their teams help clients improve decision-making through measurement, reporting, analytics, and data-driven solutions. As the business continues to grow, they are investing further in their data capability and leadership team. The Role Define the strategy and roadmap for the Data Services function. Lead teams across Business Intelligence, Data Science, Digital Analytics, and Marketing Technology. Drive the use of AI within data services workflows and delivery. Establish standards and best practices across analytics, reporting, and measurement. Support revenue growth through client development and new business opportunities. Partner with senior stakeholders to align data initiatives with business goals. Develop and mentor practice leads and senior specialists. Present data strategies and recommendations to senior client stakeholders. Contribute to the organisation's presence within the data and analytics market. Your Skills & Experience Leadership experience across multiple data disciplines. Strong understanding of analytics, measurement, BI, and data services. Ability to lead technical teams and support delivery quality. Experience implementing AI-enabled processes or transformation programmes. Commercial awareness and experience supporting business growth. Strong communication and stakeholder management skills. Ability to build and develop high-performing teams.

OPERATIONSANALYTICS & INSIGHTS LEAD LONDON/HYBRID UP TO £100,000 This is a unique opportunity to lead an established analytics function while remaining close to the work. You'll combine people leadership, operational analytics, experimentation, and AI-driven innovation to influence business strategy and improve customer and operational outcomes. ROLES AND RESPONSIBILITIES: The Operations Analytics & Insights Lead will: Lead, coach, and develop a team of analysts and analytics professionals Define analytical priorities and building a structured, value-driven roadmap Partner with senior stakeholders to influence business decisions through insight Develop frameworks to measure operational performance and identify inefficiencies Deliver hands-on analysis, experimentation, A/B testing, and statistical evaluation Build scalable reporting and measurement frameworks Automate manual processes and improving analytical workflows Support AI-enabled operational initiatives, including chatbot and copilot analytics Establish trusted metrics, governance, and data quality standards Drive a culture of analytical rigour, commercial thinking, and continuous improvement YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: Strong experience leading analytics, data, or insight teams Proven people management and stakeholder engagement capability Advanced SQL skills with the ability to work hands-on when required Experience developing analytical strategy and influencing senior leadership Strong statistical knowledge, including experimentation and significance testing Experience translating complex analysis into actionable business recommendations A track record of improving processes through automation and data-driven decision-making Practical experience using AI tools and technologies to enhance business processes Comfortable operating in fast-moving, commercially focused environments APPLY BELOW!

Senior Paid Media Manager London £50,000-£62,000 + Bonus A fast-growing digital growth agency is looking for a Senior Paid Media Manager to join its team in London. This is a senior, client-facing role where you'll own key accounts, lead paid media strategy and remain hands-on across campaign execution and optimisation. Key responsibilities: Lead strategy across Paid Search, Paid Social & Display Manage client relationships and present performance insights Oversee campaign setup, optimisation, budgets and testing Identify performance and growth opportunities Work closely with analytics, CRO and wider digital teams Support new business opportunities Looking for: Strong hands-on Paid Search & Paid Social experience Excellent analytical and optimisation skills Strong client-facing and presentation skills Experience managing budgets and complex campaigns Ideally 5+ years' paid media experience Location: London Hybrid: 3 days in office Salary: £50,000-£62,000 + bi-annual bonus Interested? Get in touch for a confidential conversation. Find out more and apply via the link below!

Senior Data Engineer London Hybrid (4 days a week) £70,000 - £80,000 This is an excellent opportunity for a Senior Data Engineer looking to work on modern cloud technologies, AI-enabled products, and enterprise-scale data challenges. You'll play a key role in designing and delivering the data foundations that power innovative analytics and AI solutions. The Company They are an established AI-powered SaaS business at the forefront of data and AI innovation. Their platform helps organisations transform complex datasets into actionable intelligence, supporting better decision-making and stronger business outcomes. Continued growth and investment mean they are expanding their engineering team to support an exciting product roadmap. The Role Design and develop scalable ETL and ELT pipelines Build and optimise data models supporting analytics and AI workloads Develop and maintain cloud-native data solutions Support CI/CD implementation and deployment processes Integrate AI and machine learning outputs into production environments Implement monitoring, governance, and operational best practices Collaborate closely with Product, Engineering, and Data Science teams Mentor colleagues and contribute to engineering standards Your Skills & Experience Strong commercial Data Engineering experience Advanced SQL and Python skills Experience designing modern cloud data architectures Strong understanding of dimensional modelling and data warehousing Exposure to Azure, AWS, and GCP environments Familiarity with CI/CD pipelines and DevOps practices Knowledge of DataOps and engineering best practices Strong problem-solving and stakeholder engagement skills What They Offer Competitive salary and benefits package Opportunity to work on innovative AI-enabled products Exposure to enterprise-scale data challenges Collaborative engineering culture Professional development support Clear progression opportunities within a growing business How to Apply Submit your CV to learn more about this Senior Data Engineer opportunity.

Data Scientist £45,000 - £55,000 Merseyside (3 days a week in office) This is an excellent opportunity to join a growing Data Science function at a business investing heavily in its data and AI capabilities. You'll work on high-impact customer and commercial projects, helping to shape how machine learning is adopted across the organisation while gaining exposure to cutting-edge tools and a rapidly evolving data environment. THE COMPANY This organisation is investing heavily in its Data and AI capabilities, with a focus on building a scalable Data Science function that delivers real business impact. As Data Science becomes increasingly central to decision-making, you'll have the opportunity to work on high-profile customer and commercial projects with strong backing from senior leadership. They foster a collaborative, pragmatic culture where Data Scientists are encouraged to move beyond experimentation and deliver solutions that create measurable value. The focus is on deploying models into production and embedding data-driven thinking across the business. THE ROLE As a Data Scientist, you will work closely with senior stakeholders, analysts, engineers, and fellow Data Scientists to deliver machine learning solutions across a range of customer and commercial use cases. Specifically, you can expect to be involved in the following: Building and deploying predictive machine learning models Developing customer segmentation and customer lifetime value models Creating forecasting solutions to support business planning Delivering propensity and churn models to improve customer engagement Translating complex analytical findings into clear business recommendations Collaborating with engineering teams to support model deployment and operationalisation Supporting the development of a modern Data Science platform Working with cloud-based machine learning tools and technologies Engaging directly with stakeholders to understand challenges and define analytical solutions SKILLS AND EXPERIENCE The successful Data Scientist will have the following skills and experience: Strong commercial experience in Data Science and machine learning Advanced Python and SQL skills Experience using statistical modelling and predictive analytics techniques Knowledge of machine learning algorithms such as XGBoost and related ensemble methods Experience delivering projects across the full Data Science lifecycle, from problem definition through to deployment Ability to communicate technical concepts clearly to non-technical audiences Experience working with customer analytics, segmentation, churn, propensity modelling, forecasting, or related use cases Exposure to cloud environments such as Azure or GCP is beneficial Experience with Azure ML, Vertex AI, or similar machine learning platforms is advantageous BENEFITS The successful Data Scientist will receive the following benefits: Salary between £45,000 - £55,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Data Scientist £45,000 - £55,000 Merseyside (3 days a week in office) This is an excellent opportunity to join a growing Data Science function at a business investing heavily in its data and AI capabilities. You'll work on high-impact customer and commercial projects, helping to shape how machine learning is adopted across the organisation while gaining exposure to cutting-edge tools and a rapidly evolving data environment. THE COMPANY This organisation is investing heavily in its Data and AI capabilities, with a focus on building a scalable Data Science function that delivers real business impact. As Data Science becomes increasingly central to decision-making, you'll have the opportunity to work on high-profile customer and commercial projects with strong backing from senior leadership. They foster a collaborative, pragmatic culture where Data Scientists are encouraged to move beyond experimentation and deliver solutions that create measurable value. The focus is on deploying models into production and embedding data-driven thinking across the business. THE ROLE As a Data Scientist, you will work closely with senior stakeholders, analysts, engineers, and fellow Data Scientists to deliver machine learning solutions across a range of customer and commercial use cases. Specifically, you can expect to be involved in the following: Building and deploying predictive machine learning models Developing customer segmentation and customer lifetime value models Creating forecasting solutions to support business planning Delivering propensity and churn models to improve customer engagement Translating complex analytical findings into clear business recommendations Collaborating with engineering teams to support model deployment and operationalisation Supporting the development of a modern Data Science platform Working with cloud-based machine learning tools and technologies Engaging directly with stakeholders to understand challenges and define analytical solutions SKILLS AND EXPERIENCE The successful Data Scientist will have the following skills and experience: Strong commercial experience in Data Science and machine learning Advanced Python and SQL skills Experience using statistical modelling and predictive analytics techniques Knowledge of machine learning algorithms such as XGBoost and related ensemble methods Experience delivering projects across the full Data Science lifecycle, from problem definition through to deployment Ability to communicate technical concepts clearly to non-technical audiences Experience working with customer analytics, segmentation, churn, propensity modelling, forecasting, or related use cases Exposure to cloud environments such as Azure or GCP is beneficial Experience with Azure ML, Vertex AI, or similar machine learning platforms is advantageous BENEFITS The successful Data Scientist will receive the following benefits: Salary between £45,000 - £55,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Data Engineering Manager London (3 Days a week) £90,000 + 20%-40% Bonus This is an exciting opportunity to lead a critical Data Engineering function during a major cloud transformation programme. You'll combine technical leadership with people management, helping shape the future of a modern enterprise data platform. The Company They are a large, data-driven aviation organisation investing heavily in modern technology and cloud infrastructure. Data plays a central role in business decision-making, and significant investment is being made to modernise platforms, processes, and engineering capabilities. This role will have meaningful influence on both technology direction and team development. The Role Lead the design, development, and deployment of scalable data pipelines Manage and develop a team of Data Engineers Drive cloud adoption and modern engineering practices Oversee data operations, reliability, and platform performance Work closely with Analytics, Architecture, and Technology teams Establish engineering standards, governance, and delivery processes Prioritise workloads and support successful project delivery Contribute to a major migration from legacy systems to a cloud-native environment Ensure compliance with data governance requirements Your Skills & Experience Strong experience leading Data Engineering functions or teams Advanced SQL expertise and database optimisation knowledge Hands-on experience with AWS technologies including S3, Glue, Lambda, and EC2 Strong understanding of data warehousing and data modelling principles Experience with Snowflake and modern cloud data platforms Python development skills Experience with workflow orchestration tools such as Airflow Knowledge of streaming technologies and real-time data processing Experience implementing CI/CD and engineering best practices What They Offer Competitive salary and comprehensive benefits package Hybrid working arrangement in London Opportunity to lead a strategic cloud transformation Significant influence across data and technology initiatives Leadership and career progression opportunities Collaborative and innovation-focused environment How to Apply Apply now to discuss this Data Engineering Manager opportunity in confidence.

Full Stack Engineer (React / TypeScript / Java) Up to £85,000 + Benefits Hybrid Working London 2 Days per Week in Office We're working with a fast-growing WealthTech business that is transforming the way individuals and families engage with their finances through innovative technology and exceptional user experiences. They're looking for a Full Stack Engineer to join a highly collaborative engineering team building and enhancing a modern web platform. This role is approximately 65% Frontend and 35% Backend , making it ideal for engineers who enjoy creating outstanding user experiences while remaining hands-on across the full stack. The Role You'll join a cross-functional squad responsible for delivering new features, improving platform performance, and helping shape technical decisions across the product. The role has a strong frontend focus, but you'll also contribute to backend services and APIs, working within a modern cloud-native environment. A key aspect of the engineering culture is the use of AI-assisted development tools , so candidates must already be comfortable incorporating AI into their daily workflow for coding, testing, and productivity. Essential Requirements Strong commercial experience with React Strong commercial experience with TypeScript Commercial backend development experience with Java Experience working with Spring / Spring Boot Hands-on experience using AI-assisted development tools as part of the software development lifecycle Experience developing and consuming APIs Understanding of software engineering best practices, testing, and clean code principles Experience working within Agile environments Nice to Have Kotlin experience AWS experience Docker and Kubernetes Microservices architecture Event-driven systems (Kafka or similar) GraphQL What You'll Get Salary up to £85,000 Hybrid working (2 days per week in London) Private healthcare Pension contribution 25 days holiday Regular team socials Clear progression opportunities within a growing engineering organisation

Product Strategy Lead Up to £80,000 + bonus Hybrid - London An exciting opportunity to join a growing ecommerce agency/consultancy and play a key role in shaping a new strategic product offering. You'll work with ambitious ecommerce brands, helping clients identify opportunities, develop product strategies and turn ideas into commercially impactful digital experiences. We're looking for someone with a strong background in ecommerce and agency/consultancy , ideally across product strategy, digital strategy or product management. You'll need to be confident working with senior clients and collaborating across strategy, design and technology. This is a highly autonomous role with the opportunity to build something new, influence the direction of the business and work at the forefront of AI and digital innovation. Up to £80,000 + bonus London Hybrid (2 days/week) Interested? Get in touch for more details.

CRM Manager (Klaviyo Migration) London Outside IR35 £400-425 Day Rate 6 month contract Hybrid This is an opportunity to play a leading role in a major CRM and marketing technology transformation. You'll be responsible for helping deliver the migration from Emarsys to Klaviyo while working across marketing, technology, data, and vendor teams to ensure the programme remains on track and key business objectives are achieved. The Company They are a customer-focused organisation investing heavily in modernising their marketing technology stack. Alongside a CRM platform migration, they are also evolving their broader customer data capabilities, creating a highly visible transformation programme with executive sponsorship. The environment is collaborative, fast-paced, and focused on delivering measurable business outcomes. The Role and Deliverables Lead the CRM workstream for the migration from Emarsys to Klaviyo. Act as the key point of coordination between business stakeholders, technology teams, and external vendors. Identify and manage dependencies, risks, and delivery challenges across the programme. Support decision-making by presenting clear recommendations, trade-offs, and delivery options to leadership teams. Ensure customer journeys, campaigns, and CRM capabilities are successfully migrated and aligned to future-state objectives. Drive programme momentum, ensuring actions are owned, prioritised, and delivered to agreed timelines. Your Skills & Experience Strong experience as a CRM Manager, CRM Product Manager, or Marketing Technology Manager within a customer engagement environment. Proven experience delivering a migration to Klaviyo, with a strong understanding of the challenges, dependencies, and best practices involved. Knowledge of marketing automation, customer lifecycle communications, and multi-channel CRM programmes. Experience working with customer data platforms (CDPs) and broader marketing technology ecosystems. Ability to work effectively with senior stakeholders, technical teams, and third-party vendors. Strong delivery focus, with the ability to manage competing priorities across transformation and BAU activity. Experience translating business requirements into practical solutions and clear delivery plans. How to Apply If you have hands-on experience delivering a Klaviyo migration and enjoy driving complex CRM transformation programmes, please apply to discuss the opportunity further.

This is an opportunity to join a digital commerce agency in a senior strategy role, working closely with clients to shape digital products, eCommerce roadmaps, and long-term growth plans. The role combines client leadership, product strategy, and commercial responsibility. The Company They are a digital consultancy focused on eCommerce, customer experience, and digital product delivery. Their teams work across strategy, design, and technology to support clients with digital transformation and online growth. The business operates in a collaborative environment where senior leaders have direct influence on client outcomes and business performance. The Role As a Product Strategy Manager you will be expected to: Lead relationships with senior client stakeholders Run discovery sessions, workshops, and strategic planning engagements Define product and commerce strategies aligned to business objectives Translate business requirements into delivery plans alongside design and technology teams Prioritise features, initiatives, and roadmaps based on business value Identify opportunities for account growth and additional project work Support project delivery, ensuring scope, budget, and timelines remain aligned Use customer, performance, and analytics data to guide recommendations Manage commercial performance across a portfolio of accounts Work closely with cross-functional teams to deliver digital commerce solutions Your Skills & Experience Agency, consultancy, or digital product background, working with ecommerece buinesses Experience leading client relationships and stakeholder engagement Strong product strategy, digital strategy, or eCommerce experience Understanding of platforms such as Shopify and broader digital commerce ecosystems Experience defining roadmaps, requirements, and solution priorities Commercial awareness with exposure to budgets, proposals, and account growth Ability to work with technical and non-technical stakeholders Data-driven approach to problem solving and decision making What They Offer Hybrid working model in London Exposure to complex digital commerce and transformation programmes Collaborative working environment

CRM Manager - Product Manager London Outside IR35This is an opportunity to play a key role in a major customer engagement transformation programme. The organisation has recently partnered with a leading CRM and marketing automation platform and is looking for a Product Manager to help drive a complex migration, working across marketing, technology, and business teams to ensure successful delivery. The Company They are a customer-focused organisation investing heavily in their marketing technology ecosystem. As part of a wider transformation programme, they are modernising their customer communications capabilities across email, push notifications, SMS, WhatsApp, and other engagement channels. With a collaborative and highly engaged team culture, they are looking for a Product Manager who can quickly add value and support a lean function during a critical phase of delivery. The Role and Deliverables Act as the key link between strategic stakeholders, marketing teams, technology teams, and external vendors throughout the migration programme. Support the migration from a legacy CRM platform to Klaviyo, ensuring requirements, dependencies, and risks are clearly understood and managed. Translate business objectives into actionable product deliverables, user stories, and tickets where required. Work closely with leadership to surface key decisions, recommendations, and vendor insights that support programme success. Ensure customer journeys and campaign requirements are effectively captured and migrated while maintaining their intended business outcomes. Coordinate stakeholders across a complex technology landscape, helping teams stay aligned on priorities and delivery milestones. Your Skills & Experience Strong Product Management experience within CRM, marketing technology, customer engagement, or digital transformation environments. Ability to operate between business and technical teams, translating requirements into clear product outcomes. Experience supporting platform migrations or large-scale technology transformation programmes. Strong stakeholder management skills, with the ability to engage leadership, vendors, marketing teams, and technical teams. Understanding of customer journey management, campaign delivery, and multi-channel communication platforms. Experience with Klaviyo would be highly desirable. Familiarity with CDP, CRM, or martech ecosystems would be advantageous. Comfortable working in a hands-on delivery role within a lean, collaborative team. How to Apply If you are a Product Manager with experience delivering CRM or marketing technology transformation projects and are available for an immediate or near-term start, please apply to discuss the opportunity further.

Business Intelligence Lead - 12 month FTC up to £60,000Predominantly remote - 1x day per quarter in Birmingham or London officeThis is an opportunity to take ownership of a high-impact BI and reporting capability within a data-led organisation. You will combine hands-on Power BI development with stakeholder engagement, helping teams access reliable insight while supporting an evolving modern data environment. The Company They are an established organisation using data and analytics to inform strategic and operational decision-making. Their Data & Analytics function is developing its reporting and self-service capability using modern Microsoft and Azure technologies. You will join a collaborative environment where data quality, accessible insight and continuous improvement are central to the team's work. The Role As Business Intelligence and Visualisation Lead, you will: Design, develop and maintain dashboards and reporting solutions in Power BI. Build self-service analytics capabilities that enable stakeholders to interrogate data independently. Use SQL and DAX to develop robust reporting solutions, views and semantic layers. Work with Azure Databricks and Microsoft Fabric across the BI environment. Maintain and improve existing analytical assets while ensuring reporting continuity. Translate stakeholder requirements into clear, accurate and accessible reporting solutions. Ensure reporting meets data quality, governance and GDPR requirements. Work within Agile delivery practices, contributing to sprint planning and managing priorities through a structured backlog. Maintain clear technical documentation and proactively communicate delivery risks and blockers. Your Skills & Experience You will bring: Strong commercial experience across business intelligence, analytics or reporting. Hands-on Power BI dashboard and report development expertise. Strong SQL skills covering querying, transformation and reporting layers. Experience using Azure Databricks to support BI and reporting workloads. Strong DAX skills and an understanding of semantic data models. Experience translating business requirements into intuitive reporting solutions. Experience working in Agile or sprint-based delivery environments. Understanding of data governance, data quality, access control and GDPR. Strong stakeholder communication skills, including presenting data and insight to non-technical audiences. An organised approach with the ability to manage priorities and take ownership of BI delivery. Experience with Microsoft Fabric, Azure DevOps, Jira, Python or AI-assisted analytics tools would be advantageous. What They Offer Salary up to £60,000, depending on experience. 12-month fixed-term maternity cover contract. Hybrid working, with Birmingham as the primary office location. Exposure to Power BI, Microsoft Fabric and Azure Databricks. The opportunity to own a key BI capability and make a visible impact across the organisation. How to Apply Apply now to be considered for this Business Intelligence and Visualisation Lead opportunity in Birmingham.

Data Engineering Lead London (Hybrid) Up to £90,000 + 20% Bonus We're partnering with a rapidly growing consumer brand that's investing heavily in data and looking for its first Data Engineering Lead to build the foundations of a modern, data-driven organisation. This is a rare opportunity to join a business at a pivotal stage of growth and take ownership of the entire data landscape, from platform architecture and data pipelines through to governance, reporting and future team expansion. The Role You'll be responsible for designing and scaling the company's data platform, bringing together data from multiple sources and creating a single source of truth for reporting and decision-making. You'll work closely with senior stakeholders across the business and play a key role in shaping the long-term data strategy. Key responsibilities include: Building and maintaining scalable ETL/ELT pipelines Developing and optimising a cloud-based data platform within BigQuery Owning data quality, governance, security and access controls Delivering trusted reporting and analytics capabilities Managing external data and analytics partners Enabling self-service analytics across the business Driving adoption of AI-enabled analytics and decision-making tools Helping build and lead the data function as the company grows Requirements We're looking for engineers who enjoy combining deep technical expertise with commercial impact. You'll ideally have: Strong Python and SQL skills Experience building production-grade data pipelines Strong BigQuery experience Experience with dbt or similar transformation tooling Experience working with cloud data platforms Excellent stakeholder management skills The ability to operate autonomously and thrive in a fast-paced environment Previous experience in Data Engineering, Analytics Engineering or Data Leadership roles Nice to Have E-commerce, retail or DTC experience Experience with Shopify, Amazon or marketing platforms Exposure to attribution, tracking or customer analytics Experience implementing data governance frameworks Exposure to AI, LLMs or modern analytics tooling Previous team leadership experience Why Join? Up to £90,000 base salary 20% bonus Opportunity to become the company's first dedicated data leader Significant ownership and autonomy Direct exposure to senior leadership Clear pathway to build and lead a team Chance to shape the future of a high-growth business from the ground u

Senior AI Software Engineer London (Hybrid, 3 days per week) Up to £140,000 + Equity We're partnered with a fast-growing AI start-up building cutting-edge behavioural intelligence technology for the financial services sector. Backed by an exceptional leadership team and industry experts, they're developing a platform that helps organisations better understand client behaviour through advanced AI and large language models. As their first senior individual contributor engineering hire, you'll play a critical role in shaping both the product and engineering culture from the ground up. The Opportunity This is a true 0-to-1 product engineering role. You'll work closely with senior leadership to build and scale a greenfield product, taking ownership across the full stack while driving the architecture and evolution of production-grade AI systems. You'll have significant influence over technical direction, engineering standards, product decisions and future hiring as the team grows. What You'll Be Doing Building and shipping customer-facing product features end-to-end Developing and scaling production LLM applications Owning RAG pipelines and AI application architecture Implementing guardrails, evaluations, caching and model routing strategies Working across TypeScript, React, Node.js, PostgreSQL and AWS (Open to different technology backgrounds!) Building API-first services for enterprise customers Establishing engineering best practices around testing, deployment and code quality Collaborating directly with product and leadership stakeholders to influence roadmap and delivery priorities What We're Looking For Experience building and scaling production LLM-powered applications Strong full-stack engineering background Experience delivering secure, reliable and scalable systems Comfortable working across multiple technologies and learning new stacks quickly Experience with React and modern web applications Product-minded approach with the ability to operate autonomously Passion for building in an early-stage, high-growth environment Experience within regulated industries or financial services is beneficial but not essential Why Join? Up to £140,000 base salary Meaningful equity package Opportunity to become the first senior engineering hire Direct impact on architecture, product and company direction Work alongside talent from leading technology and AI organisations Greenfield product with genuine product ownership Hybrid working in Central London 25 days holiday plus additional benefit