51 to 75 of 195 Data Privacy Jobs

LGBTQ+ business community. Please do not contact the recruiter directly. Are you excited by improving how internal platforms help teams discover, access, and use data effectively? Do you enjoy working across product, engineering, and data communities to remove friction and enable better outcomes? About our team At Elsevier … Data Engineering Foundations team builds the core capabilities that enable engineering and data science teams to experiment, develop, and deliver solutions at pace. Working across product, engineering, architecture, and platform communities, the team provides reliable tooling, trusted data access, and scalable workflows that reduce friction and accelerate ...

Manager, you will coordinate technical relationships with global shopping partners, focusing on Google Comparison Shopping Services and Microsoft Advertising. You will support integrations, improve data quality and performance, and help translate business needs into practical technical solutions. This role involves collaboration across regions and teams, with exposure to partner … onboarding, market insights, and ongoing optimisation efforts. What you will accomplish: Support onboarding of partners for shopping ads integrations by coordinating API configuration, data streams, validation, and delivery requirements Enable reliable data exchange and high-quality integrations across feeds and APIs, improving performance and consistency Develop and maintain ...

supporting the operating environment, capabilities, and governance that enables product teams to deliver consistent, measurable, and scalable outcomes. This role drives the standards, tooling, data products, and operating cadences required to strengthen product management effectiveness, improve decision quality through reliable product data and metrics, and accelerate adoption … enabled ways of working. The Senior Vice President partners closely with Product, Engineering, Design, Data, Risk, Operations, and business stakeholders to improve how products are planned, instrumented, measured, governed, and continuously enhanced. In this role, you’ll make an impact in the following ways: Establish and evolve product management ...

onsite in London. The Role You will own how my client handles legal across its CRM work. The core of the job is the data side of lifecycle marketing: GDPR, consent capture and proof, lawful basis, data processing across the client base, and the deliverability and compliance rules … flow holds up, you are the person who answers and can show the reasoning. You will also run their own legal requirements: client contracts, data processing agreements, supplier terms, and the contractual work that comes with a company adding headcount, clients, and entities. You will work directly with leadership ...

artificial intelligence solutions that support healthcare professionals, improve patient outcomes, and enhance operational efficiency across healthcare environments. This role combines expertise in artificial intelligence, data science, and healthcare systems to create technologies that address real world clinical and organizational challenges. Successful candidates will work closely with multidisciplinary teams including … clinicians, researchers, software engineers, healthcare administrators, and data professionals to design, implement, and evaluate AI driven solutions. The successful candidate will be responsible for transforming complex healthcare data into meaningful insights, developing machine learning models, supporting clinical decision making, and ensuring that AI systems are safe, reliable ...

Principal AI Engineer to lead the design, development, and delivery of intelligent software systems that bring together enterprise application architecture, full-stack engineering, data science, and machine learning. In this highly visible, hands‐on leadership role, you will build and scale production‐grade platforms and AI‐enabled products that … critical workflows, decision‐making, automation, and business insight across the organization. The ideal candidate combines deep software engineering expertise with strong applied AI and data science capability, and has a proven ability to mentor engineers, shape technical direction, and partner cross‐functionally to turn complex business problems into scalable ...

GenAI workloads within CI/CD pipelines and developer workflows. Define and enforce secure usage patterns for LLMs and AI services, including prompt handling, data protection, and model access controls. Implement safeguards against AI‐specific threats, including prompt injection, model poisoning, data leakage, and insecure model outputs. Integrate … model usage and dependency integrity. Collaborate with engineering teams to establish secure‐by‐design AI application architectures. Ensure compliance with enterprise Responsible AI policies (data privacy, bias management, model governance). Secure AI‐related secrets, tokens, and API access used in pipelines and applications. Monitor and respond ...

leveraging the Microsoft technology stack, including Copilot Enterprise, Power Apps, Azure services, Python, and OpenAI technologies, to streamline workflows, enhance operational efficiency, and support data-driven decision making. The successful candidate will work closely with the Innovations Team, Data, IT, operations, and business stakeholders to identify automation opportunities … automation tools across the organisation. Ensure solutions comply with company policies, regulatory requirements, and industry standards. Implement best practices for AI usage, data management, and automation lifecycle management. Maintain documentation, version control, and deployment standards. IT Security & Compliance Work closely with IT Security teams to ensure AI solutions meet ...

leveraging the Microsoft technology stack, including Copilot Enterprise, Power Apps, Azure services, Python, and OpenAI technologies, to streamline workflows, enhance operational efficiency, and support data-driven decision-making. The successful AI Implementation Engineer will work closely with the Innovations Team, Data, IT, Operations, and business stakeholders to identify … automation tools across the organisation. Ensure solutions comply with company policies, regulatory requirements, and industry standards. Implement best practices for AI usage, data management, and automation lifecycle management. Maintain documentation, version control, and deployment standards. IT Security & Compliance Work closely with IT security teams to ensure AI solutions meet ...

sales cycle into compelling, commercially robust transformation engagements. The role requires an experienced Director who can work with business leaders as well as technology, data, risk and change teams. The successful candidate will identify where AI can create measurable value, frame the case for change, shape the technical solution … asset management, capital markets, payments and other financial services domains. Work with senior business stakeholders to identify how AI, generative AI, automation and data‐led decisioning can transform business areas, operating models and customer journeys. Translate AI ambition into specific value opportunities linked to growth, productivity, customer experience, risk ...

partners, serving as a key point of contact throughout the engagement lifecycle Maintain project artefacts including risk logs, decision registers, and project plans Support data governance activities including data privacy compliance Skills & Experience Proven project management experience in a technology or financial services environment Experience managing … management skills across senior and technical audiences Highly organised with strong attention to detail and the ability to manage competing priorities Desirable: Understanding of data governance principles and technical concepts including AI, synthetic data, and agentic systems Ability to compile, structure and quality-assure technical documents such ...

closely with business stakeholders, technical teams, and third-party partners, you will be responsible for designing, developing, supporting, and enhancing Workday integrations while ensuring data accuracy, security, compliance, and operational excellence. Key Responsibilities Manage system integrations within the architecture of the HR/Finance system and middleware Provide support … routine break/fix support and regression testing; support the inbound/outbound interfaces to the system and middleware Ensure accuracy and integrity of data and applications through analysis, coding, clear documentation, and problem resolution Analyze and translate functional specifications and change requests into technical specifications Ensure integrations function ...

Data Protection & AI Governance Business Partner Location: Remote (UK) Contract Type: 4-Month Contract Vetting: Will be put through BPSS check upon hire Rate: Inside 475-525 p/day. Role Overview Working within a lean Compliance team, this role operationalizes privacy and AI frameworks, leads complex … advisory services, and oversees responsible AI governance. The position ensures data and artificial intelligence are managed lawfully and ethically across all products and business workflows. Key Requirements Experience: 4–5 years in a similar data privacy role specifically within a software house/development environment . ...

system improvements and implement solutions. Support reporting and dashboard development to meet business needs. Manage and troubleshoot Workday integrations with third-party systems. Oversee data integrity, including audits, validations, and corrections. Support data migrations and provide guidance on data governance. Provide advanced user support, resolving system issues … moderate management oversight. Perform job functions moderately independent with excellent problem-solving skills Project manage IT work initiatives and provide reasonably accurate estimates. Perform data backups and disaster recovery operations. Train, coach, and mentor system administration team members and other junior staff on the Workday system. Escalate and coordinate ...

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 ...

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 ...

Business Units, Shared Services, Operations, Finance, and other business leaders to prioritize initiatives.Engineering Organization Management : Lead, mentor, and grow a diverse engineering organization of data, digital, and AI skills. Oversee multiple teams including Enterprise Architecture, Full stack development, platform, infrastructure, DevOps, and data engineering.Technical Excellence : Ensure the delivery … industry trends (cloud-native, AI/ML, microservices, etc.) and evaluate new technologies that can drive business value.Risk & Compliance : Oversee technical risk management, data privacy, security standards, and regulatory compliance (SOC2, GDPR, HIPAA, etc. as applicable).Budget & Operations : Manage the engineering budget, vendor relationships, and infrastructure costs. ...

development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills, with the ability to work effectively across multidisciplinary teams and stakeholders. Strong problem-solving skills … driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard 25 days annual leave plus bank ...

quality assurance teams throughout the software development lifecycle (SDLC). Assist in defining project scope, objectives, and deliverables. Monitor project progress and deliver comprehensive, data-driven reports on business performance, operational metrics, and client satisfaction to empower informed decision-making. Maintain vigilant oversight of project financials, including budgets, invoices … expenses. Ensure unwavering compliance with company policies, industry regulations, and data privacy standards. proactively identify and mitigate risks within operational processes and project execution. Develop and uphold robust business continuity plans. SKILLS, EXPERIENCE & QUALIFICATIONS: Bachelor s degree in Business Administration, Management, or a related field (Post Graduate ...

quality assurance teams throughout the software development lifecycle (SDLC). Assist in defining project scope, objectives, and deliverables. Monitor project progress and deliver comprehensive, data-driven reports on business performance, operational metrics, and client satisfaction to empower informed decision-making. Maintain vigilant oversight of project financials, including budgets, invoices … expenses. Ensure unwavering compliance with company policies, industry regulations, and data privacy standards. ·proactively identify and mitigate risks within operational processes and project execution. Develop and uphold robust business continuity plans. SKILLS, EXPERIENCE & QUALIFICATIONS: Bachelor’s degree in Business Administration, Management, or a related field (Post Graduate ...

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 ...

standards: naming conventions, report lifecycle management, version control, and decommissioning Acting as the reporting SME and escalation point for complex issues (security constraints, performance, data quality, business object selection) Coaching and mentoring Finance users and Finance/Management Reporting champions; run knowledge share sessions and provide guidance on best … practice reporting patterns Contributing to broader analytics strategy, including alignment with BI platforms (e.g., Power BI) and data integration approaches What we're looking for You'll need to have demonstrable experience within a similar role with strong and demonstrable hands-on experience developing financial/management reports ...

challenges into deployable AI solutions, and drive adoption across priority service lines, functions and client offerings. Solution Design & Delivery : Partner with technology, product and data teams to design AI solutions that are secure, scalable and compliant; ensure integration with existing platforms; oversee pilots through to production and handover … bolster revenue growth; quantify and track value delivered through AI initiatives. Governance, Risk & Responsible AI : Ensure AI initiatives align with enterprise risk, security, data governance and responsible AI standards; establish decision frameworks, controls and success metrics. Stakeholder Leadership : Operate as a senior business partner across EAP, influencing leaders without ...

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 ...

hands-on experience developing both technical and professional skills. Role Key Responsibilities: Assist in developing, testing, and maintaining AI and machine learning models Support data collection, cleaning, labelling, and basic analysis Help implement AI solutions using Python and common ML libraries Participate in model evaluation, performance monitoring, and documentation … Collaborate with cross-functional teams on AI-driven projects Learn and apply best practices in data privacy, ethics, and responsible AI Continuously build skills through training, mentoring, and self-study What You’ll Learn: Identify opportunities for automation to drive operational improvement and cost savings. Advocate ...