Data Governance Lead

Role Overview Utility Warehouse is hiring a Data Governance Lead in London. This role shapes and manages the company’s data governance strategies. The position focuses on safeguarding data integrity, privacy, and compliance throughout the organization. What You Will Do Develop and implement data governance frameworks and policies Work with teams across the b…

perk is seeking a Data Governance Specialist to join the team in London. This position centers on developing and maintaining frameworks that support data governance, with a particular focus on compliance and organizational data management policies. The role helps ensure data quality and integrity are upheld across the company. Key responsibilities Build and enhance data governance frameworks to support organizational needs Track and enforce compliance with internal data management policies Collaborate with teams to improve data quality and maintain data integrity Requirements Strong attention to detail and a proactive mindset Background or keen interest in data management and governance Ability to adapt and work effectively in a busy, changing environment This role is based in London.

Since its inception in 2015, OakNorth has successfully lent over $21 billion to visionary businesses across the UK and US, significantly contributing to the creation of more than 58,000 new homes and 36,000 new jobs. We pride ourselves on being a streamlined, high-accountability organization where individuals take ownership of outcomes — not just tasks. Here, you will find an environment that fosters meaningful work, where a fast-paced team upholds exceptional standards.

About the Role Delta Capita is looking for a Data Governance Programme Manager to lead a major data governance initiative for financial services clients. This onsite position is based in London and requires close collaboration with senior stakeholders and technical delivery teams. Main Responsibilities Act as the overall programme lead for a large-scale data governance project within the financial sector. Oversee the management of enterprise financial data sets, including data rebalancing efforts. Coordinate teams working on both strategic planning and hands-on delivery tasks. Engage directly with senior leaders while remaining involved in daily project operations. Who We Work With This role involves working with leading financial institutions, supporting their efforts to strengthen data governance and manage complex data workflows. Learn More For more information about Delta Capita's Consulting services, click here.

Role Overview Experian is looking for a Senior Partner Manager focused on Data Governance to join the London team. This role shapes data strategy and supports compliance with data regulations. The position works closely with teams across the business to strengthen partnerships and put data governance frameworks into practice. What You Will Do Collaborate with colleagues in multiple departments to design and implement data governance frameworks Support data quality, security, and accessibility initiatives Help ensure compliance with relevant data regulations Build and maintain strong relationships with partners to advance data strategy goals Impact Your work will help Experian and its clients treat data as a strategic asset by improving how data is managed, protected, and used.

Join a Transformative OrganizationPalantir is at the forefront of innovation, developing cutting-edge software that drives data-informed decision-making across critical sectors. Our platforms empower partners to tackle global challenges, from developing life-saving medications to predicting supply chain disruptions and locating missing persons.The OpportunityAs a Government Contracts Specialist, you will play a pivotal role in guiding Palantir through the complexities of the UK Government procurement landscape. You will be a vital member of our UK Government Contracts team, supporting our expanding government business by collaborating with various departments, including Business Development, Legal, Finance, Engineering, Sales, and Leadership. Your expertise will be instrumental in navigating the government contracting process, managing a diverse portfolio of contracts, and ensuring compliance with contractual obligations. Your responsibilities will include managing contracts, devising procurement strategies, fostering relationships, and facilitating the successful completion of deals — from reviewing essential documentation to building pricing proposals and supporting company initiatives.In this role, you will engage directly with some of our highest-value contracts, facing new challenges that offer ample opportunities for professional growth and a significant impact on the company.

Note: This position requires 4 days of in-office work in Central London and 1 day of remote work.Key Responsibilities:Develop features, resolve issues, and perform daily monitoring on the cloud delta lakehouse data platform.Collaborate within an agile technical team, actively engaging in all ceremonies, including daily stand-ups and backlog refinement sessions.Make architectural decisions, mentor junior engineers, and contribute to the establishment of engineering standards, documentation, and reusable frameworks.Experience Required:Minimum of 10 years of overall experience in data engineering.At least 5 years of experience in a data warehouse solution landscape.Proven experience leading complex data initiatives and making architectural decisions.Familiar with agile delivery methodologies, preferably SCRUM or Kanban.Ability to take ownership of data issues, conduct investigations and root cause analysis, and implement fixes through code and data modifications.Understanding of data warehouse testing strategies and quality assurance processes.Proficient in git branching strategies and code management.Solid understanding of technical release management processes in Azure DevOps.Strong communication skills, capable of driving alignment, collaboration, and efficiency within teams.

We are seeking a highly skilled and innovative Lead Data Scientist to join our dynamic team at Faculty. In this role, you will leverage your expertise in advanced analytics and machine learning to drive impactful data-driven solutions. You will lead a team of talented data scientists, guiding them in the development of predictive models and analytical frameworks that support our mission to optimize outcomes across various sectors.

Role overview Telefonica Tech seeks a Lead Data Consultant based in London. This position focuses on guiding clients as they navigate complex data challenges, aiming to turn raw information into practical insights that drive business results. Collaboration is central to this role. The Lead Data Consultant works with cross-functional teams to design and deliver data solutions tailored to client needs. Building data literacy across organizations is also a key part of the job, helping clients make informed decisions and strengthen their capabilities.

About ZegoAt Zego, we believe that traditional motor insurance can be a barrier for exemplary drivers. It's often too complex, costly, and fails to accurately reflect real driving behavior.Since our inception in 2016, we've dedicated ourselves to transforming the insurance landscape. Our goal is to provide the most affordable insurance options for responsible drivers.Our diverse clientele, ranging from van drivers and gig economy workers to everyday car owners, is at the core of our operations.Having successfully sold tens of millions of policies and secured over $200 million in funding, we are just getting started on this exciting journey.Your RoleWe are in search of a Lead Data Scientist to join our Core Pricing team, reporting directly to the Head of Data Science. You will play a critical role in shaping and executing a high-performance data-science operating model, swiftly transforming concepts into production-ready pricing and risk models.Key ResponsibilitiesLead the development and enhancement of next-generation risk models, managing all aspects from innovative feature discovery and sophisticated modeling to dependable pipeline deployment and strategic R&D initiatives.Implement a robust Data Science workflow: ensuring clear guidelines, templates, and documentation throughout the project lifecycle.Accelerate the idea-to-production timeline: from initial data acquisition to live rate adjustments.Promote a culture of collaborative experimentation: integrating Pricing, Data Science, Machine Learning Engineering, and Systems Engineering.Team leadership and mentorship: oversee a team of 2 Data Scientists, guiding their professional growth and development.Establish coding standards and best practices, mapping common processes and creating playbooks.Assist in selecting tools utilized throughout the Data Science project lifecycle.

Are you passionate about data and eager to drive innovation? Join Hudl as a Lead Data Scientist and take the reins in shaping data-driven strategies. In this role, you will leverage advanced analytics to enhance performance across various teams and projects, while mentoring junior data scientists to foster their growth.

About Indicium AI Indicium AI is a premier global consultancy renowned for integrating AI into production at scale. We partner with some of the world’s foremost enterprises across various sectors, including Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. Our mission is to unlock the potential of AI, facilitating strategic implementation through speed, clarity, and unparalleled capability. With a dedicated team of over 600 AI experts, we serve more than 50 enterprise clients across five global offices. Collaborating with industry leaders such as Anthropic, Databricks, AWS, OpenAI, and Microsoft, we drive modern AI solutions that yield tangible results. Opportunity We are eager to connect with individuals possessing a robust data background and cloud-native skills, particularly those experienced in delivering high-quality software solutions. As a consulting firm focused on outcomes, we seek professionals who embrace a consultative approach to problem-solving in a comprehensive, end-to-end manner. Join our diverse, talented team to share knowledge and learn from varied experiences. Responsibilities Lead the technical implementation and delivery of advanced data systems and AI-enabled applications. Address end-to-end data challenges and identify opportunities at scale. Contribute to the architecture and design of innovative solutions. Collaborate with clients to bring their data strategies to fruition. Work with your cross-functional team throughout all phases of engagement, including advisory, design, and implementation of comprehensive solutions. Participate in internal initiatives, such as writing blogs and engaging in technical forums. Requirements Strong understanding of modern data engineering concepts (e.g., distributed systems, data streaming, event-based architectures). Experience with software engineering and DevOps best practices, encompassing the entire software development lifecycle (SDLC) applied to data: automation, testing, contract definition, clean code, CI/CD, and path to production. Familiarity with one or more cloud platforms and services such as AWS, Azure, or GCP. Extensive hands-on experience with contemporary data technologies and ETL tools (e.g., Kafka, Flink, DBT) and data storage solutions (e.g., Snowflake, Redshift).

Join carwow as a Lead Data Analyst and play a pivotal role in shaping data-driven decisions that enhance our customer experience. You will lead a team of analysts, leveraging data to provide actionable insights and guide strategic initiatives. In this role, you will collaborate with cross-functional teams to interpret data trends and develop robust analytical frameworks that drive business performance.

Wise is looking for a Lead Data Analyst to strengthen operational performance through data insights. This role is based in London and centers on guiding a team of analysts, collaborating with colleagues across departments, and turning data into clear recommendations for process improvements. Role overview This position focuses on uncovering opportunities to refine operations and support better decision-making. The Lead Data Analyst interprets complex data, develops practical strategies, and communicates findings directly to stakeholders. What you will do Lead and mentor a team of data analysts Work with cross-functional teams to identify and prioritize process improvements Analyze large datasets to extract actionable insights Present data-driven recommendations to stakeholders Requirements Strong analytical skills and experience with complex datasets Ability to develop strategies based on data findings Experience presenting to and influencing stakeholders Background in leading or mentoring analysts is preferred

About Tilt At Tilt, we are on a mission to Make Commerce Alive. Our platform revolutionizes the traditional e-commerce landscape, moving away from outdated website builders and faceless marketplaces to create vibrant, community-driven experiences for the new generation of merchants. With millions of engaged shoppers across the UK, from sneaker enthusiasts to collectors, Tilt empowers sellers to achieve remarkable earnings, often exceeding £1M. We are just getting started!Your Mission As our Lead Data Engineer, you will take charge of shaping and advancing our comprehensive data platform. This is a hands-on role with significant ownership where you will oversee the architecture, reliability, and scalability of our data warehouse and analytics stack. Your expertise will help refine our existing systems, including Snowflake, Dagster, dbt, Postgres, Metabase, and ContextFlow, while establishing standards for intelligent growth. We seek an individual who not only writes SQL but deeply understands data, thinks critically, and designs enduring systems.What You’ll Do 0–3 monthsGain an in-depth understanding of our Snowflake warehouse architectureAudit and enhance existing dbt models for clarity and performanceStabilize and review Dagster orchestration pipelinesIdentify data quality gaps and implement rigorous testing standardsEnsure key dashboards in Metabase are based on reliable datasetsDocument current systems and define architectural standards3+ monthsRedesign and optimize warehouse architecture where necessaryImplement scalable data modeling patterns across various domainsEnhance cost efficiency and performance in SnowflakeIntroduce advanced observability, testing, and lineage practicesEnable AI and product features by structuring high-quality, production-ready datasetsEstablish clear version control and deployment workflows for data changesCollaborate with product and engineering teams to define data contracts and ownership

Join 9fin as our Data Engineering LeadAt 9fin, we are revolutionizing the global debt markets with our cutting-edge AI platform, which oversees the largest asset class valued at over $145 trillion.Despite the vastness and critical importance of debt markets, they continue to operate on fragmented data sources, PDFs, and outdated manual processes. Our innovative platform consolidates proprietary credit data, in-depth analysis, and valuable workflows to streamline operations across the globe.Currently, 9fin supports over 300 esteemed institutions worldwide, including major banks, asset managers, private equity firms, law firms, and advisory services. We are experiencing rapid growth, particularly in the US, with exceptional retention rates driven by our deep workflow integration.We stand at a pivotal moment in our journey. With a proven product-market fit and increasing global demand, 9fin is on the fast track to becoming the leading platform for debt markets internationally.Your Role and ResponsibilitiesAs the Data Engineering Lead, you will be responsible for guiding the technical roadmap of our data platform, enhancing reliability, scalability, and engineering excellence. This is a dynamic hands-on role where you will both lead and mentor.Define the Data Platform Roadmap: Establish the technical direction and implement impactful improvements to our platform, focusing on reliability, cost-efficiency, developer experience, and scalability. You will prioritize and execute the strategic platform enhancements for the upcoming year.Develop Customer-Facing APIs & Feeds: Collaborate on the design and implementation of API-driven feeds and enrichment pipelines that evolve into product features and revenue opportunities.Enhance Orchestration in Dagster: Create and optimize asset-based pipelines, sensors, schedules, backfills, IO managers, and monitoring patterns that are resilient, idempotent, and user-friendly. Establish standard practices for incremental jobs, full refreshes, and reverse ETL.Streamline Data Ingestion: Refine and scale ingestion processes utilizing Airbyte OSS and DLT, addressing schema drift, connector health, rate limits, retries, checkpointing, and operational robustness to ensure seamless pipeline execution.Strengthen BigQuery Infrastructure: Lead the evolution of our best practices, partitioning & clustering strategies, slot/cost management, and query performance standards.Enhance Data Quality & Observability: Implement service-level objectives (SLOs) for data freshness, automated validation checks, data provenance, and proactive alerting to ensure reliability for the business and our clients.

Wise is looking for a Lead Data Analyst focused on Pricing to help shape pricing strategies and support data-driven decisions. This position is based in London and works closely with teams across the company. Role overview This role centers on analyzing and optimizing pricing models. The Lead Data Analyst will review market trends, assess data, and recommend adjustments to support Wise’s business goals. Collaboration Working with cross-functional teams is a key part of this position. Expect to share insights, coordinate on projects, and ensure pricing strategies remain relevant and competitive. Requirements Strong analytical skills Experience with pricing models Ability to interpret market data and trends Comfort working with teams across different functions

Wise seeks a Data Science Lead to join the Anti-Money Laundering (AML) Risk team in London. This leadership position centers on building data-driven strategies to improve how Wise detects and manages AML risk throughout its platform. Key responsibilities Analyze complex datasets with cross-functional partners to identify patterns related to AML risk. Create predictive models and risk assessment frameworks that meet regulatory standards. Develop and implement solutions to protect customers and uphold the integrity of Wise's services. Convert data findings into clear recommendations that shape business decisions. Lead, mentor, and support a team of data scientists and analysts, encouraging continuous learning and growth. What we’re looking for Significant experience in data science, particularly in risk modeling and analytics. Ability to work with large, complex datasets and build predictive models. Strong collaboration skills with colleagues from a range of backgrounds. Leadership experience, with a focus on guiding teams and fostering innovation.

Salary: £69,080 - £82,896Role Duration: PermanentLocation: London, UK (Hybrid - 50% office attendance)The Academy of Medical Sciences is on the lookout for a highly skilled Senior Governance Manager to influence the governance and strategic leadership of our organization. Collaborating closely with the Chief Executive, Trustees, and senior colleagues, you will spearhead the governance framework across the Council, committees, and subsidiary boards.Your role will encompass providing expert governance advice, facilitating high-quality decision-making, and managing trustee affairs, elections, and governance reviews. This senior-level position offers significant autonomy and is perfect for an individual with robust charity governance experience, exceptional judgment, and the confidence to engage with Trustees in a multifaceted environment.Application Deadline: 12 April 2026 at 17:00Interviews Scheduled: Week commencing 20 April 2026

Contribute to the effective operation and continuous improvement of MUFG’s AI governance framework, ensuring the responsible implementation of AI tools in compliance with the EU AI Act 2024 and other relevant regulations.Offer expert advice and guidance to stakeholders regarding compliance with AI legal and governance requirements, covering both internally developed AI tools and those obtained from third-party providers. This includes discerning when issues pertain to AI governance as opposed to data protection obligations, especially in contexts involving personal data.Collaborate with business stakeholders to conduct AI assessments aimed at identifying and mitigating risks, while keeping the AI inventory updated. Support fellow team members in conducting data protection assessments as required.Establish and nurture effective relationships with key stakeholders throughout the organization.Facilitate AI training and awareness initiatives.Assist in reporting to governance and oversight forums regarding AI assessments, associated risks, and the progress of the AI governance program.Review contractual clauses related to AI provided by clients and third-party vendors.Engage in upstream regulatory monitoring pertaining to AI.Help address client and regulatory inquiries regarding AI, including Requests for Proposals, Due Diligence Questionnaires, and audits.As part of the Data Protection (Privacy) Team, experience in data protection is highly desirable, including advising on legal requirements, conducting data protection impact assessments, vendor assessments, and personal data breach evaluations.