Data Specialist

• Clean and transform customer business data into Watershed templates to reduce customer friction and drive time-to-value
• Interface with customers to understand their raw data and guide them toward appropriate solutions
• Assess, advise on, and execute data-cleaning best practices
• Rigorously document decisions to ensure traceability of data manipulations during third-party verifications
• Synthesize customer experiences and feedback to drive continuous improvement of services and software
• Collaborate as an early member of the Customer Data Services team in London

• Develop and deliver improvements to websites, quote-and-buy journeys, CRM and customer technology
• Work with external developers to define requirements, coordinate projects and test releases
• Improve system integrations, reduce manual processes and streamline customer journeys
• Research new technologies and identify opportunities for improvement
• Support website tracking, GA4, attribution and data quality
• Build and maintain dashboards covering website performance, quotes, conversions, policies, revenue and marketing results
• Investigate data gaps and resolve issues with specialists and the group data team
• Develop data infrastructure, analytics and reporting capability in-house
• Identify friction points and opportunities to improve online conversion
• Coordinate A/B testing, heat mapping and session-recording experimentation
• Turn digital insights into measurable improvements with marketing teams and external partners
• Explore and test AI tools, automation platforms and emerging technologies
• Build prototypes and automations to reduce repetitive tasks and improve customer and colleague experiences
• Support marketing technology, campaign tracking, automation and customer communications
• Follow security, data protection and responsible AI standards
• Build relationships with developers, agencies, data specialists and technology suppliers
• Coordinate project activity, monitor delivery and keep projects on track
• Document processes, share knowledge and embed new tools and ways of working

Digital Technology, Data Specialist

• Take full ownership of Data Management processes and timely, accurate setup of data for client instructions
• Review and analyse tenancy documents using expert lease knowledge
• Share expertise to improve team efficiency and development
• Review abstraction input to ensure data quality and dataset integrity
• Transfer lease data, funds, properties, units and lease records accurately into the management database
• Process data setup and amendment requests according to JLL best practices, SLAs and KPIs
• Manage client, property and lease data migration for transitions
• Conduct data reconciliations, investigate discrepancies and manage resolution
• Support reporting and control of critical event management
• Act as the main contact for data maintenance and setup queries
• Assist with internal and external audit information gathering
• Organise and complete data quality audits and reconciliation exercises
• Develop and improve data management processes, tools and standardisation
• Manage and facilitate colleague training and development
• Participate in project work and complete other duties supporting data quality

Data Specialist – Property Management

• Assess clients’ regulatory reporting quality for accuracy, completeness, and timeliness
• Design and execute data quality testing and reconciliation routines
• Quantify the scale and materiality of identified issues
• Perform root-cause analysis through upstream data and source systems
• Support remediation from audit findings through corrected submissions
• Produce evidenced documentation of findings and recommendations
• Apply data quality and assurance tooling to automate testing and improve repeatability
• Present findings and practical resolutions to senior client stakeholders
• Advise clients on strengthening ongoing reporting controls
• Work across the reporting regimes in scope for each client

Data Quality Specialist

• Support the development of methodologies and best practices to measure data quality across CDP
• Support and develop data cleansing solutions to address quality issues
• Help develop and operationalise dashboards to monitor data improvement
• Work with colleagues to define data quality metrics and reporting to resolve issues
• Help develop and maintain data quality reports supporting improvements in specific data domains
• Promote a data-first attitude toward data quality and governance across CDP
• Participate in regular 1:1s and performance and development conversations
• Contribute to a respectful and inclusive workplace
• Work with internal stakeholders including CDP Data Owners, Stewards, Custodians and Users
• Work with external stakeholders including CDP Disclosers, Requesters, Data Users, and other customers