1 to 25 of 219 Decision-Making Jobs in Central London

Platform (CDP) and Single Customer View (SCV). This is a critical role within our rapidly growing data organization, and you will be instrumental in enabling data-driven decision-making across the business. You'll work closely with engineering, marketing, product, and other internal teams to ensure our CDP is a powerful tool for understanding and engaging our More ❯

manage a team of data professionals in executing complex analytics, modeling, and data science projects. Design, develop, and maintain scalable data models that support business intelligence, forecasting, and decision-making processes. Oversee implementation and governance of data lineage and data dictionary frameworks to ensure transparency, compliance, and data quality. Collaborate with cross-functional teams and senior stakeholders on More ❯

leadership, business owners, technical teams, and vendors. Provide regular, transparent project updates and status reports to relevant stakeholders, highlighting progress, challenges, and key decisions. Facilitate effective communication and decision-making across cross-functional teams. 3. Resource & Vendor Management: Coordinate internal and external resources to ensure efficient allocation and utilization across projects. Manage relationships with third-party vendors and More ❯

governance and assurance for proposed solutions throughout the delivery lifecycle, ensuring compliance with industry standards and best practices. Data and Analytics Handling: Manage and analyse data to support decision-making processes. Implement data governance frameworks and ensure data integrity, security, and compliance. This should include relational, graph, key-value and streaming data design constraints. Infrastructure Expertise: Design, deploy More ❯

public sector institution is seeking a proactive and detail-oriented PMO Analyst to support its central Programme Management Office. This role will be pivotal in strengthening data-driven decision-making, streamlining project reporting, and supporting the delivery of programmes and projects across the institution. You will act as the data and information hub for the PMO, supporting automation More ❯

scalable reporting solutions, and deliver actionable insights to senior stakeholders. Key Responsibilities: Lead the design, development, and deployment of advanced Power BI dashboards and reports to support business decision-making across departments. Manage and optimize large and complex data sets from multiple sources, ensuring data integrity and availability. Collaborate with cross-functional teams, including finance, IT, and operations More ❯

Healthcare and great holidays The Role As a Machine Learning Operations Engineer, you will be instrumental in designing, deploying, and maintaining machine learning systems that drive data-driven decision-making in the pensions and financial services sector. Using Azure's cloud ecosystem, you will build scalable ML workflows that support actuarial modelling, risk prediction, and client insight generation. More ❯

to risk management and mitigation within the program. Engage with Senior Leadership: Collaborate with Senior leadership and C-Suite executives, providing strategic insights and implementation guidance to influence decision-making processes and garner support for transformation initiatives. Orchestrate Transformation Efforts: Coordinate various aspects of transformation programs, including technology implementation and change management, to ensure seamless integration and adoption More ❯

project management and data analytics - Strong stakeholder management and communication skills - Ability to lead cross-functional teams and projects - Problem-solving mindset with a focus on data-driven decision making Interviews are already taking place so if you are interested in joining a forward thinking and innovative organisation, get in touch ASAP so you don't miss your More ❯

a fast-growing area, you will get the opportunity to play a central role in developing new IP and shaping the frameworks and tools we use to help decision making across sporting performance, commercial and operations. We are looking for someone proactive, excited by the opportunity of working in a growing team, and who loves sport. Responsibilities: Lead More ❯

complex data for non-technical leaders Self-starter comfortable working autonomously WHY APPLY? Full ownership of commercial analytics in a global business Exposure to exec-level strategy and decision-making Great perks: 1pm Friday finishes, private healthcare, study support Apply now to find out more. More ❯

analysis of A/B tests to assess product performance and enhance customer experiences Using SQL to extract, analyse, and visualise product data, delivering actionable insights that support decision-making Collaborating closely with Product, Engineering, and Marketing teams to define KPIs and success metrics Building and maintaining dashboards and reporting tools to provide real-time visibility into product More ❯

tasks. Conduct regular review meetings to assess progress, address escalations, and ensure compliance with MD directives across business units. Provide regular feedback and insights to stakeholders to support decision-making and enhance collaborative efficiency. E. Innovation & Continuous Improvement Drive continuous improvement efforts by recommending and implementing enhancements to existing operational processes and project methodologies. Support enhancements initiatives, particularly More ❯

understanding of technology and cyber security frameworks. You will work closely with global stakeholders to ensure that risk data is accurately captured, analyzed, and reported to support informed decision-making and effective risk management. This role is based in London and follows a hybrid work model, requiring travel to the London office when needed. The Role: This role More ❯

GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and deployment, including data pipeline integration. Proficiency in designing compliance systems capable of autonomous decision-making and task execution, especially in financial contexts. Experience with compliance governance, ethical considerations, and ensuring adherence to financial regulations. Financial Crime and Compliance Expertise: Skilled at identifying and More ❯

multi‐year digital transformation. Implementing new EDI/API connections, enhancing the company’s Transport Management System (TMS), launching an AI‐enabled customer portal, and embedding data‐driven decision‐making across the organisation. Reporting to the CEO (and dotted line to COO/Head of IT) The Technology & AI Projects Manager will own and deliver these initiatives, acting More ❯

search for a Lead Catastrophe Analyst focusing on global Property. The successful candidate will play a vital role in providing key analytics that will directly influence the underwriting decision-making process, as well as help guide business strategy and overall view of risk. With significant exposure to, and close communication with, key stakeholders, this role is well suited More ❯

and storytelling skills 🏝️ Benefits & Perks Work for one of the most recognised luxury retailers in the world Collaborate with high-performing, insight-driven teams at the heart of decision-making Real ownership over optimisation, testing, and insight projects Exposure to senior leadership and a brand committed to innovation Join a culture that values curiosity, creativity, and bold thinking More ❯

R experience Strong knowledge of A/B testing and statistical methods (e.g. uplift modelling) Confident stakeholder manager — able to work with senior non-technical teams and influence decision-making Experience with data visualisation tools (Power BI, Tableau, or Looker) Familiarity with modern data practices — version control, Git, productionising workflows Bonus: experience with marketing automation platforms like Iterable More ❯

With a strong focus on Microsoft technologies and cloud-based tools, you’ll work directly with key business stakeholders, MI teams and technical teams to drive performance and decision-making through data. The ideal candidate here will have a strong background in insurance MI or reporting—experience within an MGA or insurance carrier is essential. Key Responsibilities Deliver More ❯

the ground up. This is a pivotal role to design and implement the data strategy, business intelligence initiatives, and data governance frameworks, fostering a culture of data-driven decision-making across the organization. Key Responsibilities Build and lead a new data & analytics team. Develop and execute a company-wide data and analytics strategy aligned to business objectives. Own More ❯

the Power Platform and Security stack. As the subject matter expert (SME), you will be responsible for designing, deploying, and managing intelligent, AI-powered experiences that enhance productivity, decision-making, and automation. You will lead the delivery of Copilot solutions into production, ensure secure and scalable integration with enterprise systems, and manage ongoing optimisation and support. This is More ❯

checks to ensure data accuracy and consistency. Utilise data analysis to identify potential issues or discrepancies in system outputs and propose corrective actions. Provide strategic insights to enhance decision-making and operational efficiency. Identify and feedback to relevant teams where there are data inconsistencies or issues that need attention. Oversee CRA reporting creation, adjustments, and issue resolution to More ❯

more responsibility and cover a wide area in the business. A typical day in this role might look like: Prepare strategic presentations, proposals, decks and presentations for internal decision-making and external stakeholders Model high ROI uses of our technology and build into business cases Research matching funding pots with technology deployment opportunities Conduct structured problem solving and More ❯

grade analytics code using SQL, PySpark, and Python Analyze large-scale datasets to generate actionable insights and visualizations Collaborate across technical and business teams to drive data-driven decision making Required Experience: 3–5 years' hands-on experience in data analysis, insight generation, and data visualization Proven expertise in SQL and PySpark , with solid working knowledge of Python More ❯