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Senior Data Engineer

£782/day (Inside IR35) | 12-Month Contract | London (2 Days Onsite)

Overview

Clinical Platforms team is seeking a Senior Data Engineer to help build and maintain the data and cloud infrastructure that powers large-scale medical imaging and AI/ML initiatives across the business.

This is a highly technical engineering role sitting at the intersection of Data Engineering, Cloud Engineering, Machine Learning Infrastructure and Computer Vision. You’ll be responsible for designing, building and supporting production-grade data platforms that enable researchers and scientists to work with complex imaging datasets and AI-driven workflows.

The team is looking for a hands-on engineer with strong Python, SQL and Google Cloud Platform (GCP) experience who can take ownership of technical solutions from design through to production.

What You’ll Be Doing

• Designing and building scalable data pipelines and cloud-based data platforms
• Developing and maintaining data infrastructure supporting medical imaging and AI/ML workloads
• Building ETL/ELT pipelines and data integration frameworks
• Managing large-scale datasets across cloud environments
• Supporting infrastructure used to deploy and run machine learning and computer vision solutions
• Designing data models and database schemas for complex datasets
• Monitoring, troubleshooting and optimising production systems
• Collaborating with engineers, researchers and data scientists across multiple projects

Key Skills & Experience

Essential

• Strong commercial experience with Python development
• Advanced SQL and data modelling expertise
• Strong Google Cloud Platform (GCP) experience
• Experience designing and delivering production-grade data platforms
• Strong understanding of systems architecture and cloud infrastructure
• Experience building end-to-end data engineering solutions
• Proven track record delivering engineering projects into production

Highly Desirable

• Computer Vision or Image Processing experience
• Exposure to Machine Learning platforms and infrastructure
• Experience working with image datasets at scale
• PyTorch, OpenCV, NumPy or related technologies
• BigQuery and wider GCP ecosystem experience
• Familiarity with AI-assisted development tools such as Cursor, Claude Code or GitHub Copilot

Nice to Have

• Medical imaging experience
• DICOM or PACS exposure
• Healthcare, biotech or pharmaceutical industry experience

Ideal Background

We’re open to candidates from a variety of backgrounds, including:

• Senior Data Engineers
• Data Platform Engineers
• Machine Learning Engineers
• ML Platform Engineers
• Computer Vision Engineers
• AI Engineers
• Software Engineers with strong cloud and data engineering experience

The key requirement is strong, hands-on commercial engineering experience and the ability to design, build and support complex production systems.

Why Join?

• Work on cutting-edge AI and medical imaging initiatives
• Join a highly technical engineering team within GSK’s Clinical Platforms function
• Contribute to platforms supporting drug discovery and clinical research
• Opportunity to work across Data Engineering, ML Infrastructure and Computer Vision projects
• Long-term 12-month contract with strong extension potential

Contract Details

• Role: Senior Data Engineer
• Contract Length: 12 Months
• Rate: Up to £782/day
• IR35 Status: Inside IR35
• Location: London
• Working Pattern: 2 Days Onsite Per Week

If your background sits across Data Engineering, Cloud Platforms and Machine Learning infrastructure, I’d be happy to share further details.

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BUSINESS ANALYST – MICROSOFT DYNAMICS 365 BUSINESS CENTRAL CLOUD MIGRATION

LONDON / SURREY

MAINLY REMOTE (OCASSIONAL TRAVEL)

OUTSIDE IR35

£420 TO £520 PER DAY

This is an opportunity to play a key role in a large-scale cloud transformation programme, helping a major organisation migrate from a highly customised on-premise Microsoft Dynamics 365 Business Central environment to the cloud. You’ll join during the discovery phase and have the chance to influence future-state design, challenge legacy processes, and shape the overall approach to delivery.

The Company

They are a well-established UK organisation undertaking a significant ERP modernisation programme to improve scalability, standardisation, and long-term operational efficiency. With a complex business landscape and a heavily integrated technology estate, they are investing in a cloud-first future. The programme brings together business stakeholders, technical teams, and delivery partners to transform core finance processes and systems.

The Role and Deliverables

• Lead discovery workshops across Finance and wider business functions to capture requirements and shape future-state processes.
• Document current and future-state business processes, requirements, decision logs, and discovery outputs.
• Conduct fit-gap analysis against standard Dynamics 365 Business Central cloud capabilities and identify opportunities for simplification.
• Support data migration planning, including financial data validation, reconciliation, and acceptance criteria.
• Assess integrations, legacy applications, and customisations to inform cloud migration and future-state architecture.
• Act as a key liaison between Finance stakeholders, project teams, solution architects, and implementation partners.

Your Skills & Experience

• Strong Business Analysis experience within complex ERP transformation programmes.
• Demonstrable experience with Microsoft Dynamics 365 Business Central.
• Experience delivering Business Central on-premise to cloud migration projects.
• Strong understanding of finance processes, controls, and ERP environments.
• Proven ability to facilitate workshops and engage stakeholders at senior leadership level.
• Expertise in requirements elicitation, process mapping, fit-gap analysis, and discovery activities.
• Experience supporting financial data migration, validation, and reconciliation activities.
• Ability to assess complex integration landscapes and support migration to API-driven cloud solutions.
• Strong documentation skills across requirements, process models, and business analysis artefacts.
• Confident challenging existing ways of working and driving process improvement initiatives.
• Comfortable operating independently within complex, evolving programmes.
• Experience within hospitality, finance transformation, or highly customised Business Central environments would be advantageous.

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Senior ML Engineer (LLM & GenAI)
UK Remote | Outside IR35
Day Rate: £550-£600 per day
6-Months
This is an opportunity to join an innovative healthcare technology business on a greenfield GenAI and LLM Engineering programme. You’ll play a key role in building production-grade AI systems that support clinical and research workflows, working on LLM observability, RAG pipelines, evaluation frameworks, and scalable ML platforms within a highly data-driven environment.
The Company
They are a fast-growing healthcare technology organisation using advanced machine learning, proprietary data, and AI-driven products to improve preventative healthcare and research outcomes. Their multidisciplinary teams work across machine learning, software engineering, clinical science, and product development to deliver innovative solutions at scale. Operating in a regulated environment, they are investing heavily in the next generation of GenAI capabilities and production ML infrastructure.
The Role and Deliverables

• Build and productionise LLM, GenAI, and RAG-based applications using proprietary healthcare and research datasets.
• Develop observability and monitoring frameworks covering prompts, inference quality, latency, cost, and model performance.
• Create robust evaluation frameworks combining automated scoring, LLM-as-a-judge approaches, and human feedback loops.
• Deliver production-ready RAG and agentic AI workflows with version control, testing, deployment, and rollback capabilities.
• Partner with MLOps, Data Science, and Research teams to ensure AI systems are scalable, reliable, and compliant.
• Contribute to AI platform strategy, including model serving architecture, infrastructure decisions, and GPU utilisation.

Your Skills & Experience

• Strong experience building and deploying production machine learning systems within healthcare, life sciences, biotech, pharma, or bioresearch environments.
• Hands-on experience developing LLM, GenAI, RAG, or agent-based applications.
• Strong Python engineering skills with experience using PyTorch and modern ML tooling.
• Experience with LangChain, LangGraph, LlamaIndex, DSPy, or similar LLM orchestration frameworks.
• Strong MLOps experience including MLflow, model versioning, experiment tracking, monitoring, and production deployment.
• Experience working with vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or Databricks Vector Search.
• Cloud experience across AWS, Azure, or GCP, alongside containerisation and orchestration technologies including Docker and Kubernetes.
• Familiarity with Infrastructure as Code tools such as Terraform.
• Experience operating machine learning solutions within regulated or research-led environments.

How to Apply
If you have a proven track record delivering production LLM and GenAI solutions within healthcare, biotech, or research environments, please apply with your latest CV.

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DATA GOVERNANCCE AND DATA INTEGRITY MANAGER

6 MONTH CONTRACT

WEST-YORKSHIRE – 3 DAYS ONSITE

OUTSIDE IR35

£550 TO £650 PER DAY

This is an opportunity to lead a high-profile data integrity and transformation programme for a complex organisation undergoing significant change. You’ll play a pivotal role in improving data quality, governance and ownership, helping the business establish sustainable practices that support better decision-making and operational performance.

The Company

This organisation operates across multiple business functions and technology platforms, creating a complex data landscape with significant opportunities for improvement. They are investing in a business-critical Data Integrity Programme focused on enhancing data quality, governance and accountability. Working closely with senior leadership, business stakeholders and technology teams, you will help establish the foundations for long-term data excellence.

The Role and Deliverables

• Lead the mobilisation, governance and delivery of a Data Governance & Integrity Programme across business and technology functions.
• Establish practical data governance frameworks, including ownership models, stewardship responsibilities, decision rights, policies and standards.
• Coordinate data quality, cleansing, remediation, matching and de-duplication initiatives across priority data domains.
• Facilitate workshops and governance forums to drive cross-functional decisions, resolve issues and align stakeholders.
• Develop programme roadmaps, manage dependencies, risks and decision logs, and provide clear progress reporting to senior stakeholders.
• Embed sustainable data management practices through knowledge transfer, documentation, governance artefacts and business-as-usual handover.

Your Skills & Experience

• Strong experience establishing and embedding enterprise data governance frameworks and operating models.
• Proven capability in data quality management, data ownership, stewardship, accountability and governance processes.
• Hands-on experience delivering data transformation, remediation, cleansing and master data management initiatives.
• Strong understanding of data quality rules, validation frameworks, exception management and audit requirements.
• Experience facilitating complex discussions across business, operational and technology stakeholders.
• Ability to influence senior leaders, provide constructive challenge and drive decisions where accountabilities are unclear.
• Strong programme coordination, governance reporting and stakeholder management skills.
• Experience working within complex multi-system environments and managing data across multiple business functions.
• Ability to translate governance principles into practical, sustainable operational processes.
• Exposure to Microsoft data technologies, including Microsoft Purview, Power BI or Azure data services, is advantageous.

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ML Engineer

£600 to £650 per day
London
Inside IR35
Hybrid, 2 days per week in the office

This is an opportunity for an ML Engineer to work on high-scale, real-time machine learning systems, with a strong focus on deploying and operationalising models in live online environments. The role is mainly deployment focused, with additional involvement across machine learning, recommendation systems and LLMs.

The Company

They are a major digital organisation operating high-traffic online platforms, with machine learning playing an important role in the customer experience. Their teams are developing and deploying ML solutions across recommendations, ranking, pricing and product retrieval. This assignment sits within a specialist recommendations team working on live, production ML systems.

The Role and Deliverables

• Deploy and productionise machine learning models within live, online environments.
• Build and support real-time ML systems across recommendations, ranking and pricing.
• Develop MLOps processes to support reliable model deployment and operation.
• Work with ML technologies including TensorFlow, PyTorch and MLflow, with flexibility around the wider technology stack.
• Support LLMOps and the deployment of open-weight LLMs for product retrieval and data processing.
• Work alongside ML specialists to take models from development into scalable production environments.

Your Skills & Experience

• Strong ML experience with a clear focus on deploying ML models into production.
• Strong knowledge of real-time, online or high-throughput machine learning systems.
• Experience working with recommendation, ranking, retrieval or similar production ML systems.
• Hands-on capability with TensorFlow, PyTorch, MLflow or comparable ML tooling.
• Strong understanding of ML deployment, productionisation and operational ML infrastructure.
• Experience with LLMOps or deploying LLMs into production environments would be highly beneficial.

How to Apply

If you are an ML Engineer with strong production deployment experience and have worked with real-time machine learning systems, apply to find out more.

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Media Mix Modeling (MMM) Consultant

Location: Los Angeles, CA (2-3 days per week onsite)

Contract: Initial 6-Month Contract

Rate: $100/hour

Opportunity: Potential to transition into a full-time permanent position after the initial contract period

About the Company

We’re partnering with a leading technology-enabled analytics solutions company that helps brands make smarter advertising and media investment decisions through advanced measurement, modeling, and data science. The business works with clients to quantify media effectiveness, optimize spend, and drive measurable business outcomes through cutting-edge analytical solutions.

The Opportunity

We’re seeking a highly experienced Media Mix Modeling (MMM) Consultant with 12+ years of experience to join the team on an initial six-month contract engagement. You’ll play a key role in developing and delivering advanced media effectiveness solutions, helping clients understand the impact of their media investments across both online and offline channels.

This is an excellent opportunity for a senior MMM practitioner who enjoys working at the intersection of media, analytics, and data science, with the added benefit of a clear pathway into a permanent position.

Key Responsibilities

• Lead the design, development, and delivery of Media Mix Models to measure advertising effectiveness and optimize media investment.
• Analyze large and complex datasets spanning paid media, sales performance, promotional activity, pricing, and external market factors.
• Quantify channel contribution and identify optimization opportunities across TV, digital, social, search, video, streaming, retail media, and other advertising channels.
• Deliver strategic recommendations to improve media allocation and maximize ROI.
• Partner directly with senior stakeholders and clients to translate analytical findings into commercial outcomes.
• Support forecasting, scenario planning, budget allocation, and investment optimization initiatives.
• Present insights, methodologies, and recommendations to both technical and executive audiences.

Requirements

• Ideally 12+ years of experience in Media Mix Modeling, marketing science, econometrics and advanced marketing analytics.
• Proven track record delivering MMM engagements in a consulting, agency, analytics, or advertiser environment.
• Deep understanding of econometric modeling, statistical analysis, causal inference, and media measurement methodologies.
• Experience working with large-scale media, advertising, sales, and consumer datasets.
• Strong proficiency in Python, R, SQL, or similar analytical tools.
• Demonstrated ability to manage senior stakeholders and communicate complex analytical concepts to non-technical audiences.
• Experience leading client-facing engagements and influencing strategic business decisions.

Additional Information

• Candidates must be based in the Los Angeles area or able to commute, as this role requires 2-3 days per week onsite.
• Contract rate of $100 per hour.
• Initial 6-month contract with strong potential to convert to a full-time employee.
• Opportunity to work with a highly innovative analytics organization delivering impactful measurement solutions to leading brands.

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Penetration Tester

6-Month Contract | Outside IR35 | £500-550pd | Remote (UK)

We’re working with a leading global retail organisation seeking an experienced Penetration Tester to support a growing portfolio of security projects across network, infrastructure and telecommunications environments.

This is a highly client-facing role where you’ll own the full penetration testing lifecycle, from planning and execution through to reporting and presenting findings and recommendations to stakeholders.

Key Responsibilities

• Conduct infrastructure and network penetration tests
• Assess network architecture and security controls
• Identify vulnerabilities and provide remediation recommendations
• Produce high-quality technical reports
• Present findings directly to clients and stakeholders
• Manage engagements independently from start to finish

Requirements

• 5+ years’ penetration testing experience
• Strong infrastructure and network security testing background
• Experience delivering end-to-end testing engagements independently
• Excellent client-facing and stakeholder management skills
• Ability to communicate technical findings to both technical and non-technical audiences

Desirable

• Operational Technology (OT) security exposure
• Experience within retail, manufacturing, or telecommunications environments
• OSCP, CREST, CHECK, or similar certifications

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£450-500 per day | Outside IR35 | 6 Months
Occasional travel to London/Solihull

Harnham are supporting a leading UK organisation undergoing a large-scale ERP transformation and are looking for an experienced Senior Business Analyst to play a key role in the migration of Microsoft Dynamics 365 Business Central from an on-premise environment to the cloud.

The Role

You’ll be responsible for leading discovery activities across the finance function, engaging with senior stakeholders to understand current processes, identify opportunities for improvement and help shape the future-state Business Central solution.

Responsibilities include:

• Leading workshops with business and finance stakeholders
• Gathering and documenting business requirements
• Producing As-Is and To-Be process maps and BPMN documentation
• Conducting gap analysis and identifying process improvement opportunities
• Challenging existing ways of working and making recommendations
• Creating requirements packs and supporting solution design activities
• Working closely with implementation partners, architects and project teams
• Supporting the wider ERP transformation programme through discovery and analysis activities

What We’re Looking For

• Proven experience as a Senior Business Analyst on ERP transformation programmes
• Strong workshop facilitation and stakeholder management skills
• Experience gathering and documenting requirements in complex business environments
• Strong process mapping, BPMN and business process modelling experience
• Experience working within Dynamics 365 Business Central environments
• Ability to challenge stakeholders and drive process improvements
• Experience working with Finance teams and processes
• Strong documentation skills including BRDs, functional requirements and process packs

Desirable Experience

• Dynamics 365 Business Central cloud migration projects
• Hospitality, retail, leisure or multi-site organisations
• Intercompany finance processes
• ERP modernisation or finance transformation programmes

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£625 per day | Outside IR35 | 3-6 Month Contract

The Opportunity

An exciting opportunity has arisen for a Senior AI/ML Engineer to join a highly innovative team operating within a large global organisation. Working in a startup-style environment, you’ll play a critical role in shaping and delivering the next generation of Generative AI products.

This team is focused on building AI-powered MVPs, validating product-market fit, and creating scalable solutions that can be adopted across a broader enterprise landscape. They’re looking for an experienced engineer who can bring technical leadership, engineering discipline, and a pragmatic approach to turning ambitious AI concepts into reliable, production-ready solutions.

The Role

This is a hands-on contract position where you’ll provide technical oversight and help establish best practices across AI engineering, MLOps, deployment, and productionisation.

You’ll be expected to quickly assess existing approaches, improve technical foundations, and help ensure the team is building solutions that are secure, scalable, and maintainable.

Key Responsibilities

• Review and validate AI solution architectures and engineering approaches.
• Bring engineering rigour and governance to AI product development.
• Establish coding standards, testing practices, and development workflows.
• Productionise machine learning and Generative AI solutions.
• Develop and maintain ML pipelines and deployment frameworks.
• Implement monitoring, logging, observability, and model performance tracking.
• Conduct LLM security assessments, including prompt injection testing and mitigation.
• Collaborate closely with Data Scientists, Engineers, Product stakeholders, and external partners.
• Support the team in moving from experimentation to robust, scalable delivery.
• Provide hands-on technical guidance while remaining actively involved in development.

Technology Stack

Essential Experience

• Expert-level Python development
• Azure cloud platform
• Databricks
• MLflow
• Containerised environments (Docker or similar)
• Machine learning pipeline development
• CI/CD and deployment automation
• Software engineering best practices and automated testing
• Jupyter Notebooks

AI & Machine Learning Expertise

• Generative AI applications
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Vector databases
• NLP and content generation platforms
• Prompt engineering
• AI application architecture
• Model monitoring and governance
• LLM security and evaluation

Desirable Experience

• Startup or scale-up environments
• Conversational AI and chatbot development
• Healthcare, life sciences, or regulated industry experience
• Responsible AI and AI governance initiatives
• Product-focused AI engineering

Candidate Profile

We’re looking for a practical, delivery-focused engineer who is comfortable operating in ambiguous and fast-moving environments.

You’ll likely have:

• A strong software engineering background combined with modern AI/ML expertise.
• Experience building and deploying AI products in production environments.
• A systems-thinking approach to architecture and technical decision-making.
• Strong stakeholder communication and collaboration skills.
• The confidence to challenge assumptions and improve technical direction.
• A product-oriented mindset, understanding how technology delivers business value.
• A passion for creating scalable, maintainable AI solutions rather than simply building prototypes.

This role would suit someone who enjoys bringing structure and clarity to complex technical challenges and helping teams deliver high-quality AI products.

Team Structure

You will work alongside:

• Product Manager
• Data Scientists
• Python Engineers
• AI Engineers
• Solution Architect
• Front-End Developers
• External Delivery Partners

This is a senior individual contributor role with significant technical influence but no direct line management responsibilities.

Why Apply?

• Join a high-impact Generative AI programme.
• Work on cutting-edge AI products and platforms.
• Influence technical architecture and engineering standards.
• Enjoy startup-style autonomy with enterprise-scale backing.
• Make a visible impact from day one.
• Collaborate with a highly skilled multidisciplinary team.

Package

Contract Length: 3-6 Months
Day Rate: £625 per day
IR35 Status: Outside IR35
Location: Hybrid
Start Date: ASAP

Key Skills

Python | Azure | Databricks | MLflow | Generative AI | LLMs | NLP | RAG | Vector Databases | MLOps | Docker | Prompt Engineering | AI Engineering | Machine Learning

Short Overview

Senior AI/ML Engineer required to build and productionise cutting-edge Generative AI solutions using Python, Azure, Databricks and modern LLM technologies.

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London | Inside IR35
Hybrid – Minimum 2 days on site
Contract Length 3 – 6 months

This is a high impact transformation assignment for a senior technology leader who can shape the architecture, platforms and data foundations required to enable an AI-driven operating model. You will play a pivotal role in aligning technology, data and business stakeholders while ensuring complex enterprise platforms are ready to support future innovation at scale.

The Company

They are a large, complex organisation undertaking a significant technology and operating model transformation. With a strong focus on data, AI and platform modernisation, they are investing in the capabilities required to deliver more intelligent, connected and scalable customer experiences. This programme sits at the intersection of technology, data and business transformation, making it a highly visible and strategically important initiative.

The Role and Deliverables

• Define and govern the target technology architecture supporting an AI-enabled operating model.
• Develop platform integration strategies and pragmatic implementation roadmaps across enterprise systems.
• Assess technology and data readiness, identifying gaps, dependencies and key architectural risks.
• Coordinate technology, data and platform stakeholders to align delivery across multiple functions.
• Provide architectural assurance and challenge technology decisions to ensure scalable, sustainable outcomes.
• Oversee platform ownership, supplier engagement and governance frameworks within a regulated environment.

Your Skills & Experience

• Strong experience leading complex technology transformation, enterprise architecture or platform modernisation programmes.
• Deep understanding of enterprise architecture, integration patterns, APIs, data architecture and platform ecosystems.
• Strong knowledge of AI and agentic technologies, including the infrastructure, orchestration, governance and data capabilities needed to scale them effectively.
• Proven ability to define target state architectures and translate strategic objectives into practical delivery roadmaps.
• Experience navigating large enterprise technology landscapes and influencing senior technology and business stakeholders.
• Strong understanding of technology governance, security, risk management and architectural assurance.
• Experience managing technology dependencies, supplier relationships and platform ownership responsibilities.
• Exposure to marketing technology ecosystems such as Adobe, Pega, Workfront, Microsoft and related data or AI platforms is highly desirable.
• Ability to engage confidently with senior technology leaders and business executives, balancing technical and commercial considerations.

Please apply below to discuss this contract opporunity further.

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Fraud Analyst – Decision Intelligence

Location: Remote (UK)
Duration: 3-Month Contract
Rate: Up to £300 per day (Inside IR35)

The Company

We’re working with a high-growth FinTech looking to strengthen its Fraud Decision Intelligence capability during a busy period whilst they build out the permanent team.

This is an opportunity to join a data-driven fraud function focused on moving from a reactive to a proactive approach to fraud prevention. You’ll work closely with fraud, product and data stakeholders to identify trends, uncover opportunities and improve fraud controls across a payments environment.

The Role

Joining the Decision Intelligence team, you’ll use data to investigate fraud trends, analyse transaction behaviour and support the optimisation of fraud controls and decisioning strategies.

You’ll be expected to work independently, proactively identifying opportunities for improvement and helping shape how fraud is detected and prevented across the business.

Key responsibilities include:

• Analysing fraud and transaction data using SQL
• Identifying emerging fraud trends and risks
• Supporting fraud decisioning and rule optimisation activities
• Investigating control performance and recommending improvements
• Using BI tools to interrogate and visualise data
• Working with stakeholders to translate insights into actionable recommendations
• Supporting a more proactive fraud prevention strategy

Skills & Experience

We’re looking for candidates with:

• Strong SQL skills and experience working with large datasets
• Experience using BI tools such as Looker, Tableau, Power BI or similar
• Previous experience within fraud analytics, fraud strategy, fraud prevention or fraud risk
• Payments, cards or wider FinTech experience
• Experience identifying trends and producing actionable insights
• Strong stakeholder management and communication skills
• Ability to work independently in a fast-paced environment

Desirable

• Experience with fraud decisioning platforms
• Exposure to fraud rule design, implementation or optimisation
• Python for automation and analysis
• Experience balancing fraud prevention against customer experience and approval rates

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MarTech Transformation Lead – Contract
Consultancy – FS Client
£600-£700 per day – Inside IR35
London – 2 days per week in office

This is an opportunity to shape the future of AI-driven customer engagement within a major financial services environment. Working at the centre of a large-scale MarTech transformation, you will define the technology strategy, architecture and platform ecosystem that enables personalised, data-driven marketing at scale.

The Company

They are a specialist data and technology consultancy delivering complex transformation programmes for leading organisations. Their work focuses on helping clients modernise their marketing technology capabilities, unlock greater value from customer data, and build the foundations for AI-powered decision-making. Operating at the intersection of data, technology and customer experience, they partner with senior stakeholders to deliver lasting business change.

The Role and Deliverables

• Define the target MarTech architecture to support AI-enabled marketing, customer engagement and personalisation initiatives
• Lead the assessment of existing marketing technology capabilities, identifying opportunities to optimise platforms, integrations and customer data flows
• Develop strategic roadmaps across MarTech, data, analytics and AI ecosystems, aligning technology investments with business goals
• Drive integration strategies between customer data platforms, campaign management tools, CRM systems, digital channels and enterprise data platforms
• Provide architectural leadership and governance across a complex network of marketing, data and technology stakeholders
• Support the development of scalable operating models that maximise the value of AI, automation and next-generation marketing technologies

Your Skills & Experience

• Strong experience delivering enterprise-scale MarTech transformation programmes within complex organisations
• Deep understanding of customer data platforms, marketing automation, CRM, campaign orchestration and customer engagement technologies
• Expertise in designing and governing MarTech architectures, including platform integration, API strategies and data enablement
• Experience connecting marketing technology ecosystems with enterprise data platforms, analytics capabilities and AI solutions
• Strong knowledge of AI applications within marketing, including personalisation, audience activation, decisioning and agentic technologies
• Ability to engage and influence senior stakeholders across marketing, technology, data and business functions
• Experience developing target-state architectures, operating models and transformation roadmaps
• Exposure to leading MarTech platforms such as Adobe Experience Cloud, Salesforce Marketing Cloud, Pega, Braze, Tealium, Workfront, Microsoft Customer Insights or similar technologies would be highly advantageous

How to Apply

If you are a MarTech Transformation Leader with a strong background in marketing technology architecture, customer data and AI-enabled customer engagement, we’d love to hear from you. Apply today to discuss this contract opportunity in more detail.

MarTech Lead / MarTech Architecture / Marketing Technology Strategy / Customer Data & Analytics / CRM & Customer Engagement / Adobe MarTech Stack / AI Personalisation / Marketing Platform Integration / Data-Driven Marketing / Digital Transformation

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