Top Data Jobs in London

Leads JPMorgan Chase’s global workforce data privacy strategy, governance, compliance, and operating model. Advises executives on privacy risks, regulations, AI governance, workforce technologies, and responsible data use. Oversees privacy impact assessments, incident management, regulatory compliance, individual rights processes, controls, reporting, and transparency initiatives. Builds and leads a global privacy team while partnering with HR, Legal, Compliance, Technology, Cybersecurity, and Privacy Office stakeholders.

Lead development and deployment of Generative AI, LLM, and agentic AI systems for AML operations. Responsibilities include building evaluation frameworks, optimizing prompts, designing human-in-the-loop workflows, conducting shadow testing, monitoring model drift, deploying Python services, reducing financial crime risk, and mentoring data scientists. The role requires collaboration with AML subject matter experts and ownership of technical strategy across AI automation initiatives.

Drive UK growth by generating and qualifying net-new business opportunities, building target-account pipelines, engaging senior stakeholders, and supporting sales pursuits. Use market intelligence, AI-enabled research, CRM data, and account strategies to identify opportunities, personalize outreach, develop propositions, and improve conversion. Collaborate with Sales, Marketing, Alliances, and solution teams while maintaining pipeline discipline and delivering lead-generation and new-logo objectives.

Develop, operate, and maintain low-latency infrastructure that processes and redistributes market data and orders in live production. Partner with trading desks, exchanges, counterparties, and data providers to minimize outages, support trading, and ensure regulatory compliance. Responsibilities include production support, infrastructure reliability, performance analysis, and systems operation across multiple asset classes.

Investigate and resolve production alerts, improve operational runbooks, validate financial data, identify data-quality trends, and reduce operational risk. The role uses Linux, SQL, scripting, logs, databases, file systems, and workflow tools while collaborating with engineers, analysts, and business partners supporting global trading operations.

Leads Expedia B2B’s analytics organization, managing analytics managers and senior analysts while shaping multi-year analytics roadmaps and business strategy. Partners with senior stakeholders to drive measurable outcomes, guides statistical and machine learning applications, establishes analytics engineering and visualization practices, develops talent, and collaborates with data engineering, product, and machine learning teams on scalable solutions.

Develop and refine liquidity forecasting and risk models across regions, products, and currencies. Analyze data to improve treasury efficiency, support stress-event and product-launch planning, and integrate models into operational systems with engineering teams. Translate complex liquidity scenarios into actionable insights, document and present results to senior stakeholders and Risk teams, and recommend strategies aligned with risk appetite and business objectives.

Lead development and lifecycle management of machine learning models supporting KYC, onboarding, and document verification. Responsibilities include creating image and tabular datasets, developing deep learning models, optimizing performance, maintaining Python code, researching fraud prevention techniques, collaborating with cross-functional teams, communicating data science impact, and mentoring junior team members.

Own financial reporting data logic, metrics, pipelines, orchestration, and validation. Integrate internal data platforms with Anaplan, Planful, and the General Ledger; build audit-ready data extracts and source-of-truth queries; and partner with Finance leadership to ensure accurate, consistent financial disclosures. The role requires advanced SQL and quantitative data skills, basic financial statement literacy, autonomy, and the ability to improve reporting systems and processes.

Owns the day-to-day Microsoft alliance and supports UBDS’s broader technology partner ecosystem. Responsibilities include relationship management, joint go-to-market opportunities, partner programmes, accreditations, funding, certifications, reporting, events, and operational process improvement. The role coordinates internal and international teams, tracks commercial opportunities, maintains partner plans and calendars, and improves partnership administration through automation. It requires approximately 3–5 years of relevant technology, partnerships, alliances, consulting, or commercial operations experience.

Leads research and production development of generative AI and large language model systems for cybersecurity. Responsibilities include defining AI research strategy, developing novel reasoning and summarization approaches, selecting model architectures and deployment strategies, building large-scale production systems, mentoring scientists, establishing evaluation standards, and guiding cross-functional technical initiatives. The role also represents the company through publications, speaking engagements, and technical thought leadership.

Design, implement, operate, and troubleshoot CrowdStrike’s global multi-vendor, multi-cloud, hybrid data center networks. Build cloud connectivity and network constructs, develop infrastructure-as-code and automation using Ansible, Terraform, Python, and Go, improve resilience and deployment efficiency, support incident analysis and on-call rotations, and ensure compliance with regional data sovereignty and security requirements.

Analyze AI adoption, portfolio, benefits, engagement, and cost data to produce executive-ready insights and recommendations. Build scalable Python workflows, dashboards, visualizations, and automation integrating multiple data sources. Improve reporting accuracy, lineage, reproducibility, standardization, and near-real-time visibility while partnering with stakeholders to deliver analytics capabilities and operating model improvements.

Lead and grow an engineering team building Wise’s competitor pricing data platform and public Comparison API. Own scalable, resilient scraping infrastructure, data pipelines, validation, accuracy, observability, and customer-facing comparison experiences. Partner with Product, Marketing, Pricing, Compliance, SEO, and Analytics to shape strategy and deliver measurable customer value. Guide the safe use of LLMs for data extraction, quality control, and self-healing scrapers while participating in on-call support.

Own Legal 500’s enterprise AI product portfolio and roadmap. Translate business needs into prioritized requirements, oversee adoption and value realization, and establish quality, governance, human oversight, and accountability across AI products. Work with business leaders, users, Technology, Data, Governance, and suppliers to prioritize investments, assess AI outputs, and improve products as operating models evolve.

Own strategic enterprise accounts across Latin America, driving new business and expansion. Build pipeline, lead technical evaluations, develop ROI cases, and navigate security, privacy, legal, and procurement reviews. Partner with field engineering and AI deployment teams to drive production adoption and expansion while representing customer needs internally. Requires enterprise quota attainment, complex self-sourced deal experience, English plus Portuguese or Spanish, and travel up to 25% within LATAM.

Build and lead SpaceXAI’s LATAM enterprise sales organization, hiring and coaching Strategic Account Executives across Brazil, Mexico, and Spanish-speaking South America. Own regional strategy, pipeline, forecasting, CRM discipline, major enterprise deals, and market expansion. Partner with Product, Engineering, Marketing, cloud providers, systems integrators, Starlink, and SpaceX teams to sell AI and software solutions to senior technical buyers. Develop repeatable sales playbooks and personally engage CIOs, CTOs, and executive stakeholders.

Helps customers evaluate, implement, deploy, and adopt AI technology. Responsibilities include understanding business goals, designing technical approaches, building prototypes or production solutions, explaining trade-offs, conducting workshops and enablement, coordinating delivery, and partnering with Sales, Product, Research, and Engineering to resolve challenges and improve products.

Owns commercial performance and growth across strategically important client accounts. Builds C-suite relationships, identifies opportunities, leads complex bids, develops AI and technology propositions, and drives revenue, margin, pipeline, forecasting, and Statements of Work. Leads and coaches Client Partners while establishing account-planning practices and aligning delivery teams to client needs.

Supports the enterprise data governance program by developing policies, enabling data ownership and stewardship, governing metadata and data quality, coordinating compliance activities, facilitating stakeholder engagement, tracking governance initiatives, and reporting KPIs. The role promotes adoption of data catalogs, business glossaries, data standards, privacy requirements, retention controls, and governance best practices across business and technology teams.

Lead data analytics for security, risk, and compliance controls. Build and optimize Python, SQL, dbt, Airflow, and REST API pipelines; develop continuous control monitoring metrics, dashboards, and efficiency frameworks; investigate data quality and SLA issues; and use insights to improve compliance and mitigate risk. Partner with security, engineering, product, risk, and compliance teams while managing and developing one or two analysts.

Leads firmwide data management strategy within the Chief Data Office, defining target-state roadmaps, prioritizing governance initiatives, enabling AI-ready data platforms and products, and driving adoption across business and corporate functions. Responsibilities include strategic analysis, research, executive presentations, stakeholder influence, operating model implementation, and coaching junior team members.

Lead enterprise sales expansion for HPE data protection solutions across strategic UK accounts. Develop territory and account plans, generate pipeline, manage forecasts, engage C-level stakeholders, lead sales cycles, and position Zerto and related backup, disaster recovery, cyber-resilience, and hybrid cloud solutions. Collaborate with channel partners, pre-sales, marketing, and solution providers to deliver workshops, demonstrations, proofs of concept, and value-based customer engagements.

Develop secure, scalable backend and data solutions using Java, Python, Spring Boot, Databricks, Kafka, and cloud technologies. Responsibilities include designing microservices and event-driven architectures, integrating SQL and NoSQL databases, building data workflows, writing automated tests, reviewing code, troubleshooting production systems, and improving operational stability through automation. The role also contributes to agile practices, AI-assisted development, communities of practice, and enterprise software engineering standards.

Design, provision, and operate a scalable, secure cloud data platform on AWS and Databricks using Terraform, automation (Python/Java), CI/CD, observability, and security best practices to support production analytics workloads.