14 of 14 Permanent Data Privacy Jobs in the East of England

websites or digital platforms, including CMS management, web agency relationships, sprint planning, analytics and budget oversight. You’ll have a strong understanding of accessibility, data privacy and relevant compliance requirements, alongside excellent analytical, organisational, project management and problem-solving skills. Strong communication and stakeholder management skills, attention … WordPress. Experience using website analytics tools to evaluate performance and inform improvements. Experience managing budgets or overseeing digital project expenditure. Understanding of accessibility, data privacy and relevant compliance requirements, including CMA requirements for higher education websites. Strong analytical, problem-solving, organisational and project management skills. Excellent communication ...

leadership. You will be a trusted advisor to the CHRO organisation and the Heads of the HR Centres of Excellence, shaping how AI, agents, data and modern platforms reimagine talent, learning, workforce planning, reward, HR service delivery and the employee experience. This is not a traditional IT delivery role. … pilot and scale next-generation capabilities (e.g. AI-driven recruiting, skills-based talent models, conversational employee services, predictive people analytics). Ensure a connected, data-driven employee experience across HR processes and platforms. Reshaping HR IT Talent & Product-Centric Operating Model Reshape the HR IT workforce into a high ...

have the following skills, experience and drive to succeed in this role Find out below. Circana is a leading provider of technology, AI, and data solutions for consumer packaged goods companies, manufacturers, and retailers. Our predictive analytics and Liquid Data® platform help clients measure market share, uncover consumer … behaviour, and drive growth, powered by six decades of expertise and an expansive, high-quality data set. At Circana, we are fueled by continuous learning and growth. We seek and share feedback freely, celebrate victories big and small, and create an inclusive environment where people can bring their full ...

Blue Prism automation estate, use AI assistants responsibly and effectively in their day-to-day work, and progressively build hands-on RPA, infrastructure, and data skills with structured support from the wider team. This is a development and progression role: the role-holder is not expected to arrive with … sound analytical instinct, and genuine, confident use of AI tools to work smarter — plus the curiosity and discipline to build Blue Prism, infrastructure, and data capability over time."AI-literate" here means comfortable and effective using AI assistants to add value in daily work — not, from day one, building ...

documented public APIs and SDKs for consumption by internal and external developers. Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Lead and contribute … containerised deployments in Kubernetes. Strong expertise in RESTful API design, versioning, testing, and lifecycle management. Proficient in securing APIs, managing authentication/authorization and data privacy practices. Fluent in developing code using AI Tools such as GitHub Copilot. Must be able to use prompt engineering to carry ...

design to production, taking ownership of code quality, performance, and system reliability. Partner with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration layers, and service APIs. Embed robust security controls, identity management, and privacy-by-design practices across all AI services. Actively … Kubernetes. Deep understanding of RESTful API design, versioning, testing, and full lifecycle management. Strong knowledge of securing APIs (OAuth2, OIDC, RBAC) and implementing data privacy best practices. Proficiency in using modern AI-assisted development tools (e.g., GitHub Copilot) to accelerate daily engineering workflows. Strong problem-solving abilities ...

development lifecycle. Establish appropriate controls for prompt injection, personally identifiable information (PII), output guardrails, human-in-the-loop oversight and auditability. Partner with InfoSec, Data Privacy, Legal and AI Governance teams to meet regulatory requirements, protect customer data and deliver trustworthy AI experiences. Influence engineering strategy … team architectural reviews and technical decision-making, guide model and vendor selection, and communicate the trade-offs involved in capability, quality, latency, cost and data residency. Influence through technical credibility, collaboration and measurable outcomes rather than formal management authorityWhat we're looking for: We're looking for a Staff ...

test ideas quickly, prove value with pilots and proofs of concept, and then guide successful initiatives into business-as-usual. Working across operations, technology, data, legal and security, you will translate real business needs into safe, effective solutions that colleagues love to use. Reporting to Senior Management, you will … Most days you will be discovering pain points with teams, prioritising opportunities, and designing lightweight experiments to validate impact. You will partner with product, data and engineering to deliver solutions, manage change and adoption, and track measurable outcomes from pilot through to rollout. WHAT SUCCESS LOOKS LIKE Clear, prioritised ...

maker during major incidents, including those with a security element Support post-implementation checks with engineers on critical developments Own access and security governance, data privacy and audit readiness across the HR platforms Keep a close eye on tenant health, including managing Workday’s biannual releases Manage … plus, but not essential to start Strong IT service management experience, including incident and change management Understanding of access and security governance, data governance and audit readiness Confident communicator who can build enthusiasm for technology with non-technical audiences, at every level of seniority A thirst for learning ...

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 ...