8 of 8 Permanent Data Privacy Jobs in Manchester

expected to navigate complex supplier landscapes while ensuring that every agreement meets stringent security and compliance standards. By engaging proactively with stakeholders across legal, data protection, IT, and finance functions, you will help shape sourcing strategies that underpin both immediate project goals and long-term business objectives. Apply deep … ensuring alignment with emerging trends and licensing models. Negotiate complex technology contracts with a focus on software licensing terms, cloud service level agreements (SLAs), data privacy provisions, intellectual property rights, and cybersecurity compliance requirements. Assess and manage supplier risks associated with cybersecurity threats, data breaches ...

this balance flexing in line with your experience and development. You'll be someone with: Extensive w orking knowledge of the UK and EU Data Protection Regulatory landscape, and experience leading the delivery of multiple client engagements, ranging from short-term compliance reviews to longer term implementation programmes … develop junior members of the team, supporting their career ambitions. E ffective written and verbal communication skills and the ability to evaluate evidence, interpret data and articulate well-reasoned conclusions and pragmatic, client centred, focused recommendations. The ability to build and maintain lasting client relationships by delivering exceptional client ...

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 ...

RFPs, and BIDs, accounting for up to 5% to 10% of the role. Engage with the commercial team to drive high‐value Cloud and Data advisory roles. Ambassadorial Presence: Act as an ambassador for CreateFuture in the public space, attending events, speaking, blogging, or leveraging social media to support … solo contributor. AI‐Native Infrastructure: Architect and implement the core engineering infrastructure required to run AI workloads reliably, moving client architectures from static data lakes to dynamic Vector Databases and Retrieval‐Augmented Generation (RAG) architectures. Agentic Development: Build production‐grade Agentic Workflows and custom AI agents, utilising advanced toolsets ...

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 ...

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 ...

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 ...

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