1 to 25 of 28 Data Privacy Jobs in the North of England

About the job Data Protection Officer - cardfactory Salary from £55,000 + benefits package Join us as the UK & Ireland Data Protection Officer and play a pivotal role in shaping and safeguarding the privacy framework across cardfactory, (url removed) and Garlanna. In this influential position … by design, guiding stakeholders at all levels, and championing accountability across our UK and Ireland operations. As the primary contact for regulators, data subjects and internal teams, you'll oversee compliance, identify and mitigate privacy risks, and ensure robust policies and controls are in place. ...

measurement , working across a portfolio hotel brands. From auditing GA4 setups to fixing cross-domain issues, you'll play a critical role in ensuring data accuracy and enabling smarter marketing decisions. Key Responsibilities: GA4 & GTM Ownership Own and manage GA4 tracking across all client accounts Build, maintain, and optimise … Google Tag Manager containers Implement GA4 tracking plan Validate tagging implementations and troubleshoot data anomalies Implement robust tracking frameworks across Web, Paid Media, SEO Tracking Audits & Problem Solving Conduct in-depth GA4 audits for new and existing clients Diagnose and fix tracking issues (including cross-domain) Continuously monitor tracking ...

Data Protection Manager Location: Stockton-on-Tees (Hybrid) An established organisation in the North East is looking to appoint a Data Protection Manager to lead data protection and information governance across the organisation. This is an opportunity to take full ownership of data protection, working closely … with senior stakeholders to ensure compliance while supporting the practical use of data across the business. Key Responsibilities Lead data protection and information governance activities across the organisation Ensure compliance with UK GDPR and related legislation Manage data breaches, DPIAs and data sharing arrangements Develop ...

automation strategy aligned with regulatory requirements. Ensure seamless integration with core banking systems, and CCaaS platforms . Establish governance, compliance, and AI guardrails (data privacy, auditability, explainability). Oversee delivery teams ensuring quality, performance, and resilience . Key Skills Strong banking domain expertise (retail, lending, payments, contact … engaging executive stakeholders and driving CX initiatives Preferred Qualifications Experience working with Tier-1 banks or financial institutions Strong understanding of banking regulations (e.g., data privacy, PCI-DSS, GDPR equivalents) Exposure to CCaaS platforms (Google CXAS/CES, Genesys, NICE, Amazon Connect) Experience in multi-agent orchestration ...

evidence collection, documentation, and recovery support. * Contribute to threat hunting activities using KQL queries and intelligence-led techniques. * Support the triage and processing of data subject rights (DSR) requests, including subject access requests (SARs). * Support DPIA processes through data mapping, evidence gathering, and risk assessment input. * Help … Purview, OneTrust) * Understanding of key cybersecurity and privacy concepts, such as Threat detection and analysis, Incident response lifecycle, Vulnerability and exposure management, Data privacy principles and data subject rights. PLEASE NOTE: This role will fall outside IR35 and will require 3 days ...

solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven … prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions ...

Process Improvement. Design and implement automated workflows. Reduce manual administration through AI and automation. Monitor and optimise existing automations. Document processes and best practices. Data & Insights Analyse business data to uncover trends and opportunities. Create AI-powered reporting and dashboards. Measure ROI and performance of AI initiatives. Support … data-driven decision making. Training & Change Management Train employees on AI tools and best practices. Create user guides and internal resources. Support teams during AI adoption. Promote responsible and effective AI usage. Governance & Compliance Ensure AI is used ethically and securely. Review data privacy and compliance ...

market, scaling existing platforms, and ensuring technical excellence across all services. You will be a thought leader in AI‐driven UCaaS, CCaaS, CPaaS, data mining producing business insights and emerging payment solutions. You will have an in-depth understanding of managed service communications platforms and SaaS delivery within complex … platforms Strong understanding of secure payment integrations (e.g., PCI‐DSS, tokenisation, IVR payments, hosted payment pages) Understand the latent power of mining business critical data flowing across the CEP and how to present data in usable management report format Experience delivering enterprise‐grade AI/ML‐powered contact ...

based communications, customer engagement or SaaS platforms. Experience delivering enterprise-scale software products and technology transformation programmes. Expertise in AI, machine learning, analytics and data-driven product development. Knowledge of secure payment technologies, compliance frameworks and cloud infrastructure. Strong understanding of Agile delivery methodologies and product-led development environments. … teams. Excellent stakeholder management and executive communication skills. Desirable Experience Experience scaling technology functions within a high-growth B2B organisation. Knowledge of information security, data privacy and governance frameworks. Exposure to public sector customers, procurement environments or regulated industries. Experience within communications technology, contact centres, customer engagement ...

Customer Insights Analyst £50,000 - £55,000 Darwen (3 days a week on-site) This is an exciting opportunity to join a data-led organisation where customer insight is central to driving commercial performance and improving customer experience. THE COMPANY They are a growing, customer-centric organisation operating across … large network of consumer-facing locations. With a strong focus on personalisation and service quality, they use data to continuously improve engagement, retention, and lifetime value. THE ROLE As a Customer Insight Analyst you will play a key role in shaping how data informs decision making across marketing ...

pages, website content, conversion optimisation, and marketing automation. You'll understand what good looks like, know which numbers matter, and be confident using performance data to improve campaigns rather than simply reporting on them. Creating Engagement and Nurture Journeys You'll build targeted nurture programmes for prospects and customers … campaigns Excellent writing skills and the ability to turn technical complexity into clear commercial value Confidence using modern marketing tools, AI platforms, automation, and data to work smarter and scale output A commercial mindset and the ability to connect marketing activity to pipeline, revenue, and growth Bonus points ...

practices. Expertise in scalable platform design, performance optimisation, and distributed systems used by high‐volume, global user bases. Solid understanding of security, compliance, data privacy, and governance frameworks in enterprise SaaS environments. Strategic and forward‐thinking, with the ability to anticipate future technology and business needs. Highly … Govern the creation and operation of AI services, APIs, telemetry, evaluation pipelines, and guardrails. Establish and enforce best practices for responsible AI, including privacy, compliance, model governance, and risk mitigation. Partner with Product and Engineering leadership to prioritise AI initiatives and define measurable business and user outcomes. Ensure ...

planning, coordination, and delivery of one or more projects within the PLM programme. You will drive the enterprise business integration, business processes, and data governance to support Reckitt's future ways of working. Your responsibilities Plan and execute tollgate and checkpoint reviews to confirm readiness, compliance, and adherence … clear accountability. Build stakeholder alignment through transparent communication, proactive risk management, and timely evidence-based decision-making. Ensure project execution adheres to GxP validation, data privacy, and cybersecurity principles throughout delivery, ensuring full traceability, audit readiness, and compliance with applicable regulatory standards. Set up and drive weekly ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...