AVP/VP, Software Engineer, Technology Group

Lead, Data & AI Governance

AI Analytics and Visualization Engineer

AVP, Principal Software Engineer (Senior Technical lead)

VP, IS Risk - Assurance

MFG & Process DVL Engineer 2

Assistant Production Manager – Events & Entertainment

Software Engineer - ERP

Lead Quality Automation Engineer

Legal Workflow Automation Executive

Responsibilities: <ul><li>Collaborate and Innovate: Partner with portfolio managers, business managers, and product owners to tackle complex challenges and transform them into purposeful software solutions that drive our success</li><li>Design and Develop: Craft advanced algorithms and applications that significantly improve operational efficiency, enhance decision-making, and propel strategic initiatives forward</li><li>Leverage Emerging Technologies: Harness the power of machine learning and artificial intelligence to create innovative solutions that give us a competitive edge in the industry</li><li>Champion Excellence: Lead peer code reviews and share your technical expertise to cultivate a culture of continuous improvement and excellence</li><li>Ensure Quality: Execute rigorous System Integration Tests and work closely with business users on User Acceptance Tests to guarantee top-tier deliverables</li><li>Document and Guide: Develop comprehensive documentation and user guides to ensure seamless adoption and utilisation of new systems</li><li>Stay Ahead: Continuously explore and integrate emerging technologies to keep our solutions at the forefront of innovation&nbsp;</li></ul> Requirements: <ul><li>At least 5 years of relevant experience in software development, and hands-on experience in solution designing, software testing, and production support</li><li>Proficiency in Agile software development methodologies and practices such as Scrum, Kanban, or Test-Driven Development</li><li>Hands-on technical skills and good competency in Java and related frameworks such as Spring or Hibernate</li><li>Strong experience with Java / C# Dot Net / Typescript / Python</li><li>Preferred experience in relevant domains, including but not limited to the financial sector, such as SaaS integrations, enabling a deep understanding of industry-specific challenges and solutions</li><li>Familiarity with cloud platforms like AWS or Azure and containerisation technologies like Docker and Kubernetes</li><li>Strong team player who is keen to learn, independent, and possesses strong analytical, problem-solving, communication, and interpersonal skills</li><li>Passionate about understanding business requirements and using technology to transform or improve current state</li><li>Familiar with and interested in learning about current and emerging technology landscapes</li><li>Bachelor’s or equivalent degree in Science, Technology, Engineering, and Mathematics (STEM) related discipline is advantageous</li><li>Ability to adapt to a dynamic environment and demonstrate strong prioritisation skills</li><li>Experience leading engineering teams and/or mentoring junior software engineers is advantageous, especially for VP candidates&nbsp;</li></ul>

Responsibilities: Strategy, Framework &amp; Policy Architecture <ul><li>Define Group-wide Data &amp; AI Governance strategy, framework, operating model and roadmap, aligned to business strategy and AI ambitions</li><li>Author and maintain the Groups policy architecture - policies, standards, guidelines and procedures</li><li>Provide oversight, challenge and monitoring of adherence to policies and standards</li><li>Lead the continuous-improvement agenda for governance maturity through targets and metrics</li></ul> Governance Operating Model &amp; Stewardship <ul><li>Establish the governance model: define decision rights (RACI), and Data Owners and Stewardship roles across the business units</li><li>Translate governance topics into business-relevant insights for the relevant audiences.</li></ul> Data Governance, Catalogue &amp; Metadata Standards <ul><li>Set Group standards for data ownership, critical data elements, business glossary, metadata, data classification and dataset certification</li><li>Mandate data contracts on critical datasets and lineage coverage, embedding governance checks into the delivery lifecycle</li><li>Own the access governance standard and govern access to data, balancing innovation with appropriate controls</li></ul> Data Quality Management <ul><li>Own the Group data quality policy and standard - quality dimensions, rule libraries, thresholds and SLAs</li><li>Oversee the data quality operating loop, per-domain scorecards, remediation to SLA and owner-accountability reporting</li><li>Set the dataset certification regime before business use</li></ul> Data Protection, Sharing &amp; Retention <ul><li>Partner with Cybersecurity and Data Protection Office to develop and maintain the data protection framework and policies</li><li>Oversee data-sharing, retention and disposal practices across various stakeholders</li><li>Collaborate with Legal, Privacy and Compliance to ensure data compliance across jurisdictions</li><li>Manage and escalate data protection risks, tracking mitigations to closure</li></ul> Master Data Management <ul><li>Serve as design authority for master data capability, to centralize and manage master and reference data efficiently</li><li>Broker and secure ratification of master data design decisions across systems and stakeholders</li><li>Drive change management, adoption, integration and scaling of the MDM platform across the organization</li></ul> Regulatory Compliance, Risk &amp; Assurance <ul><li>Conduct regulatory horizon scanning across the jurisdictions where company operate, re-baselining policies, controls and plans as laws and standards evolve</li><li>Lead Group-wide Key Risk and Control Self-Assessment initiatives for Data and AI, and coordinate data and AI audits, compliance reviews and inspections</li></ul> Leadership, Reporting &amp; Culture <ul><li>Own the governance KPI metrics, dashboards, and reporting for executive stakeholders</li><li>Serve as the senior liaison between business units and technology on governance requirements</li><li>Be an agent of change inculcating data and AI governance culture and discipline across the organisation</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Information Management, Data/Analytics, Engineering, Law, or a related discipline; a relevant postgraduate qualification is an advantage.</li><li>Ongoing commitment to training and professional development.</li><li>At least 8 years of working experience in data management, including 5 or more years leading Data Governance, Data Quality or Master Data Management programmes in multi-entity or regulated organisations.</li><li>Extensive knowledge of data and AI regulatory, standards, and compliance requirements.</li><li>Experience in AI or model governance, model risk management or responsible-AI programmes, including generative AI; exposure to agentic AI governance is an advantage.</li><li>Proven track record standing up or transforming a governance function and operating model.</li><li>Good understanding of risk management and compliance frameworks and related disciplines such as risk and control self-assessment.</li><li>Experience in designing and delivering a Master Data Management capability.</li><li>Strong hands-on technical fluency: proficient in SQL with working Python; credible with modern data catalogues (e.g. DataHub, Microsoft Purview), data quality frameworks, data contracts and lineage, policy-as-code access models and Git / pull-request-based delivery.</li><li>Relevant certifications such as Certified Data Management Professional (CDMP), Certified Information Management Professional (CIMP) or Certified Information Systems Auditor (CISA) are strongly preferred.</li><li>Excellent written and oral communication; skilled at authoring policies, standards, guidelines and executive materials that business and engineering teams can act on.</li></ul>

Role Description: <ul><li>The AI Analytics &amp; Value Realization Engineer is responsible for ensuring AI initiatives deliver measurable business value across ICT Engineering.</li><li>The role establishes value measurement frameworks, validates benefits, develops performance dashboards, and enables data-driven decision making across the AI portfolio. This position serves as the primary subject-matter expert for AI adoption measurement, business impact reporting, value realization tracking, and portfolio analytics</li></ul> Responsibilities: Value Definition &amp; Business Case Support <ul><li>Partner with AI Transformation Engineers during opportunity assessments.</li><li>Establish baseline metrics, value hypotheses, and expected business outcomes.</li><li>Define standardized measurement methodologies and evidence requirements for AI initiatives, distinguishing between forecast, validated, realized, and sustained business value.</li><li>Develop approaches for measuring engineering productivity and operational benefits, including time savings, cycle-time reduction, quality improvement, throughput, and adoption where direct financial measurement is not feasible.</li><li>Challenge assumptions and ensure value estimates are fact-based and measurable.</li></ul> Portfolio Measurement &amp; Reporting <ul><li>Develop and maintain AI portfolio dashboards and KPI reporting.</li><li>Track solution adoption, utilization, and business impact.</li><li>Collect and analyze deployment performance data.</li><li>Ensure consistent reporting across all AI initiatives.</li><li>Generate monthly reporting for ICT Engineering leadership, ICT AI leadership, and segment AI leadership.</li></ul> Value Realization &amp; Validation <ul><li>Validate achievement of project objectives and business benefits.</li><li>Monitor sustainability of realized benefits after deployment.</li><li>Identify underperforming initiatives and recommend corrective actions.</li><li>Support prioritization decisions using objective performance and value data.</li><li>Develop standardized value realization methodologies and reporting processes.</li><li>Design measurement approaches that compare pre- and post-deployment performance and provide credible evidence that observed improvements are attributable to deployed solutions.</li></ul> Advanced Analytics <ul><li>Perform portfolio analytics and trend analysis.</li><li>Support executive decision-making with actionable insights.</li><li>Maintain data quality and governance standards for AI program reporting.</li><li>Build Power BI dashboards and reporting solutions.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering, Data Analytics, Business Analytics, Statistics, or related field.</li><li>Experience with analytics and visualization tools such as Power BI, including dashboard development, KPI reporting, and data analysis.</li><li>Strong analytical and quantitative problem-solving skills.</li><li>Experience developing and maintaining business metrics and measurement frameworks.</li><li>Experience establishing performance baselines and designing measurement approaches to evaluate the impact of implemented solutions.</li><li>Ability to translate complex data into actionable business insights.</li><li>Knowledge of engineering, technology, or transformation programs preferred.</li><li>Strong communication and executive presentation skills.</li></ul>

Responsibilities: <ul><li>Lead the development effort for cloud-native applications across the Caching Solutions and Rewards System teams, ensuring timely execution against committed business outcomes.</li><li>Drive business commitments by aligning scope, sequencing, and technical approach with Product Management, and ensuring delivery plans are realistic, transparent, and measurable.</li><li>Design and implement continuous integration and continuous delivery (CI/CD) processes to deliver applications to production, fostering a culture of continuous process improvement.</li><li>Provide hands-on technical leadership through architecture/design reviews, code reviews, and guidance to engineers to ensure compliance with standards and best practices.</li><li>Perform Technology Alternate Assessments and create Proofs-of-Concept (as necessary) to validate options and inform technical decisions.</li><li>Work collaboratively with Product Management and Platform Engineering teams during development, launch, and continuing refinement of products iteratively.</li><li>Collaborate with internal technical resources and third-party vendors to resolve issues, understand</li><li>underlying causes, and implement sustainable solutions.</li><li>Work with team members to design, architect, and implement solutions across geographic locations, ensuring effective coordination and consistent engineering execution.</li><li>Coordinate and communicate status across stakeholders, and report delivery progress, risks, and dependency needs to leadership on a regular cadence.</li><li>Maintain deep hands-on technical knowledge by evaluating trends in modern software development practices; continuously learn and stay at the leading edge of industry trends.</li></ul> Requirements: <ul><li>Bachelor’s Degree with 8+ years of system engineering experience, or in lieu of a degree 10+ years of skilled system engineering experience.</li><li>8+ years of Strong hands-on development experience in Java and Spring Boot for building enterprise-grade services.</li><li>5+ years of Proven expertise in designing and implementing cloud-native applications using a microservices-based architecture.</li><li>Solid knowledge of event streaming and processing patterns using Kafka.</li><li>Experience deploying and operating applications on cloud platforms such as AWS and PCF (Pivotal Cloud Foundry).</li><li>Strong understanding of data storage and caching concepts and implementations using GemFire, Redis &amp; Elastic cache.</li><li>5+ years of Working knowledge of database design and persistence using MySQL, Aurora SQL &amp; no SQL.</li><li>Experience with observability, logging, and production monitoring, including tools such as Splunk and New Relic</li></ul>

Responsibilities: <ul><li>Oversee and execute end to end control assurance activities for all sub functions within Information Security</li><li>Formalize, Pilot and execute first line of defence (1LOD) assessments for Information Security to proactively identify risks to the business</li><li>Lead the client assessments program by liaising with internal client partners to ensure is meeting client expectations for Information Security Assessments and Audits</li><li>Collaborate with Sourcing and Legal teams to review third-party supplier contracts, ensuring contractual terms align with the defined scope of services and comply with applicable regulatory requirements and governance frameworks</li><li>Support execution of FedLine and other assessments by working with internal SMEs, Second and Third Line of defense teams</li><li>Support renewal of Cyber Insurance for the organization by working with insurance brokers and key internal stakeholders</li><li>Develop Financial Security Assurance specific security standards and procedures</li><li>Perform other duties and/or special projects as assigned.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Engineering or related field, with a minimum of 10+ years of experience in Information Security OR in lieu of the Bachelors degree, a minimum of 12+ years of experience in Information Security.</li><li>8+ years of progressive experience in information security, technology risk, security controls assurance, or audit, including 5+ years leading teams.</li><li>Good understanding of IS Risk Management Concepts</li><li>Strong working knowledge of IT related US Banking regulations &amp; industry best practices (NIST, PCI DSS, HIPAA, CRI etc.)</li><li>Demonstrated experience designing and executing control testing/assurance programs across multiple security domains</li><li>Exposure to working with external attack surface monitoring tools to partner with internal stakeholders to remediate external risk exposure to the organization</li><li>Proven ability to influence and partner across Information Security, Technology, Risk, Compliance, and Audit functions</li><li>Excellent executive communication skills—able to synthesize complex findings into clear, actionable insights.</li><li>Excellent interpersonal skills with ability to influence team members, management &amp; external groups</li><li>Self-motivated &amp; able to work independently or in a team environment &amp; work with virtual teams</li></ul>

Responsibilities: <ul><li>High-Speed Stamping Die Design – Hands-on experience in designing and developing high-precision, high-speed progressive dies, including strip layout, component design, tolerance management, die trials, troubleshooting, and prove-out.</li><li>DFM &amp; Product Understanding – Excellent DFM skills with strong knowledge of automotive product drawings, GD&amp;T, and customer specifications, converting product requirements into feasible stamping concepts.</li><li>Die Costing &amp; Project Management – Proficient in die cost estimation covering materials, machining, standard components, and tooling investment, with end-to-end project handling from RFQ and design through validation and PPAP.</li><li>Communication &amp; Negotiation – Strong communication and negotiation skills for effective customer, supplier, and cross-functional coordination, including technical discussions, change management, timelines, and cost negotiations</li><li>Demonstrate a proactive approach and apply lateral thinking to solve problems and improve processes.</li></ul> Requirements: <ul><li>Bachelor’s degree in mechanical engineering</li><li>Post Diploma in Tool design</li><li>Diploma in Tool making</li><li>5 to 10 years of relevant experience.</li><li>Proficient with CAD software – 3D modelling, 2D drafting, and assembly.</li><li>Proficient with MS Office tools.</li><li>Good knowledge in manufacturing processes.</li><li>Good communication skills for stakeholder interaction; proactive and capable of lateral thinking.</li></ul>

Responsibilities: <ul><li>Works with Entertainment teams and interdepartmental partners as an active participant, guaranteeing a high level of performance and production values for entertainment offerings.</li><li>Responsible for operating the daily Entertainment Program for a state of the art and financially efficient theme park entertainment department, resulting in a seamless and exemplary guest experience.</li><li>Resource sourcing, bidding, negotiating, scope changes and contract maintenance.&nbsp;&nbsp;</li><li>Provides management and operational coverage at entertainment events and external activations as required.</li><li>Lead and executes entertainment special events to include marquee and seasonal celebrations and other events promoted by the company.&nbsp;</li><li>Progress reports, interfacing with other departments and maintaining vendor relationships.</li><li>Manages and maintains entertainment owned event assets in each required facility ensuring tidiness of areas such as warehouse, green rooms and other back of house Entertainment spaces.</li><li>Assembles project/event production books and documentation for both working use and historical archives.</li><li>Creates installation and de-rig and event run schedules as requested and maintains schedules, updating them and stakeholders when changes take place.&nbsp;&nbsp;</li><li>Works with partner departments (Operation, retail, F&amp;B, Marketing, HSE etc) to identify and satisfy needs or impacts of projects.</li><li>Creates and updates Events &amp; Entertainment assets inventory.</li><li>Maintained a calendar of events and implement a system that enables long term planning and effective event management for meetings, conference, events etc.</li><li>Understand and actively participate in environmental, health &amp; safety compliance.&nbsp;&nbsp;</li><li>Prepare and present inputs related to organizational/ departmental/ project budgets to the next reporting line.</li><li>Develop and implement policies, procedures and processes inclusive of SOP’s, for the respective function/department and ensure reviewing and keeping the existing ones updated as part of the ‘continuous process improvement’.</li><li>Interface with sister parks to develop innovate scheduling/use of talent/tech pool to benefit all entertainment departments.</li><li>Assist with Marketing campaign including communication and promotions partnering with marketing as appropriate.</li><li>Set objectives/ KPIs/ milestones for the respective department/ function and conduct appraisals for direct reportees on Electronic Performance Management System.</li><li>Ensure that team members are provided learning and career development opportunities by identifying successors within the team, preparing them for the next accountable roles and recommending them for external trainings whenever required in consultation with HR Department.</li><li>Report directly to the Senior Events and Entertainment Manager, providing regular updates on project statuses.</li><li>Liaise with suppliers, negotiate contracts, and actively participate in the installation and dismantling process of marquee events.</li><li>Prepare and manage rosters for the stage production team.</li><li>Conduct weekly meetings to discuss the production aspects of existing shows.</li><li>Secure all necessary government permits for events, including but not limited to DTCM, DCD, DCAA, etc.</li><li>Conduct performance reviews with team members, including the cast and crew.</li><li>Ensure risk assessment is done for all entertainment venues and live shows.</li><li>Acts as entertainment manager on duty and performs other duties as assigned by senior management</li></ul> Requirements: <ul><li>University Diploma – five years equivalent theme park, theatrical, cruise ship, entertainment experience in Production Management</li><li>Theatrical production management, stage managing, directing, designing, and/or acting experience</li><li>Stage craft and/or technical experience</li><li>Five years equivalent experience in Production Management</li><li>Stage Management experience</li><li>Production Management experience</li></ul>

Responsibilities; <ul><li>Application Development: Partners design and develop high-quality applications in SAP Functional modules COM/FIN/OPERATIONS.</li><li>Automation: Applies internal software deployment platform, methodologies, and tools to automate the deployment process, ensuring smooth and reliable releases.</li><li>Collaboration: Partners with cross-functional teams of product managers, designers, vendors, and other engineers to gather moderately complex requirements and deliver solutions that meet business needs.</li><li>Testing &amp; Debugging: Writes and maintains moderately complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.</li><li>Continuous Improvement: Makes suggestions for improving deployment processes and implements approved standards to improve efficiency and reliability.</li><li>Documentation: Drafts and maintains comprehensive documentation for moderately complex software applications, deployment processes, and system configurations.</li><li>Technical Support: Provides technical support and troubleshooting for moderately complex issues with deployed applications to ensure minimal downtime and fast resolution.</li><li>Configuration: configuring, troubleshooting, and solutioning SAP Functional modules.</li><li>Service Management: Looks for continuous improvement opportunities in Incident and Service Request processes based on trend analysis.</li><li>ITSM: ServiceNow support, including process definitions and reporting, including developing and designing reports. Leads process implementation and governance across all ITIL processes, including Incident, Problem, Change, Knowledge, etc.</li><li>Vendor Governance: Monitors and governs all performance metrics of Managed Services Partners.</li></ul> Requirements: <ul><li>Experience: Minimum 7 years of total IT work experience with roughly 5+ years of relevant hands-on SAP/ERP and configuration experience.</li><li>Education: Bachelor’s degree in Computer Science or equivalent practical experience.</li><li>Certifications: ITIL certification is preferred for service management and process governance.</li></ul>

Role Description: <ul><li>We are seeking an experienced Lead Quality Automation Engineer to join our growing Quality Engineering practice in Leeds.&nbsp;</li><li>This role is suited to a highly technical Quality Engineer who enjoys solving complex engineering challenges while working directly with clients across multiple industries.&nbsp;</li><li>You will play a key role in designing automation solutions, driving engineering best practices, mentoring team members, and helping organisations modernise their quality engineering capabilities.&nbsp;</li><li>As a Lead Quality Automation Engineer, you will remain hands-on with automation development while providing technical leadership across delivery teams.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Design, develop and maintain scalable automated testing frameworks for enterprise applications.&nbsp;&nbsp;</li><li>Deliver high-quality automation solutions using modern testing tools and object-oriented programming languages.&nbsp;&nbsp;</li><li>Work collaboratively with software engineers, architects, product owners, and business stakeholders throughout the software development lifecycle.&nbsp;&nbsp;</li><li>Champion Shift-Left Quality Engineering practices by embedding testing early in the development process.&nbsp;&nbsp;</li><li>Analyse application source code to identify defects, improve test coverage, and support overall software quality.&nbsp;&nbsp;</li><li>Contribute to Continuous Integration and Continuous Delivery (CI/CD) pipelines to enable efficient automated testing.&nbsp;&nbsp;</li><li>Apply AI-assisted engineering tools and Generative AI technologies to improve testing efficiency and engineering productivity.&nbsp;&nbsp;</li><li>Provide technical leadership, mentoring, and guidance to junior engineers and project teams.&nbsp;&nbsp;</li><li>Support clients in adopting modern Quality Engineering practices and continuous improvement initiatives.&nbsp;&nbsp;</li><li>Participate in technical discussions, solution design, and engineering governance activities.&nbsp;&nbsp;</li></ul> Requirements: <ul><li>Proven experience in Quality Engineering and Test Automation within enterprise environments.&nbsp;&nbsp;</li><li>Hands-on experience developing and maintaining automation frameworks.&nbsp;&nbsp;</li><li>Strong programming experience in one or more object-oriented languages such as Java, Python, C#, JavaScript, or TypeScript.&nbsp;&nbsp;</li><li>Experience with modern automation frameworks such as Playwright, Selenium, or equivalent.&nbsp;&nbsp;</li><li>Experience working with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform.&nbsp;&nbsp;</li><li>Good understanding of Continuous Integration and Continuous Delivery (CI/CD) principles.&nbsp;&nbsp;</li><li>Experience working with AI productivity tools such as GitHub Copilot, Claude, or similar technologies.&nbsp;&nbsp;</li><li>Strong understanding of software development lifecycle (SDLC) and Shift-Left Testing methodologies.&nbsp;&nbsp;</li><li>Excellent communication and stakeholder management skills with the ability to work directly with clients.&nbsp;&nbsp;</li><li>Demonstrated ability to work independently while managing multiple priorities.&nbsp;&nbsp;</li></ul> Preferred Qualifications&nbsp; <ul><li>Commercial experience implementing Generative AI solutions within Quality Engineering.&nbsp;&nbsp;</li><li>Experience working within consulting or professional services organisations.&nbsp;&nbsp;</li><li>Knowledge of Agentic AI concepts.&nbsp;&nbsp;</li><li>Familiarity with LangChain and LangGraph.&nbsp;&nbsp;</li><li>Experience mentoring engineers and providing technical leadership.&nbsp;&nbsp;</li><li>Exposure to both public and private sector projects.&nbsp;&nbsp;</li></ul> Personal Attributes&nbsp; The successful candidate will demonstrate:&nbsp; <ul><li>Strong analytical and problem-solving skills.&nbsp;&nbsp;</li><li>Excellent verbal and written communication abilities.&nbsp;&nbsp;</li><li>Adaptability in fast-paced consulting environments.&nbsp;&nbsp;</li><li>A continuous learning mindset with evidence of ongoing professional development.&nbsp;&nbsp;</li><li>A collaborative approach with the ability to influence technical and non-technical stakeholders.&nbsp;&nbsp;</li></ul> Working Arrangement&nbsp; <ul><li>This role follows a hybrid working model with an expectation of approximately two to three days per week onsite, depending on client requirements.&nbsp;</li><li>Some travel to client locations may be required.&nbsp;</li></ul> Security Requirements&nbsp; <ul><li>Candidates must either hold Security Clearance (SC) or be eligible to obtain SC Clearance in accordance with UK Government requirements.&nbsp;</li></ul>

Role Description: <ul><li>As a Legal Workflow Automation Executive , you collaborate closely with top legal teams to leverage Generative AI in automating legal processes—designing intelligent workflows that streamline operations, enhance efficiency, and empower firms to make more informed decisions.</li><li>Your role centres on identifying automation opportunities, demonstrating practical AI-driven solutions, and guiding adoption to ensure measurable improvements from initial implementation through to scalable impact.</li></ul> Responsibilities: <ul><li>Partner with lawyers and legal operations leaders to unpack real world legal workflows, pain points, and inefficiencies.</li><li>Translate legal work into high value workflow use cases supported by AI and trusted legal content.</li><li>Design and deliver tailored product demonstrations, training sessions, and workshops aligned to specific practice areas and team needs.</li><li>Support the full client journey in partnership with Customer Success — from pilots and onboarding to firm wide or department wide adoption.</li><li>Act as a strategic sounding board for clients evaluating the ROI, risk, and operational impact of AI in legal practice.</li><li>Represent the customer internally by feeding insights into product development, roadmap prioritisation, and go to market strategy.</li><li>Capture best practices and contribute to repeatable playbooks that help scale this function locally and globally.</li></ul> Requirements: <ul><li>A recognised legal qualification (LLB or equivalent).</li><li>A minimum of 3 years’ experience practising law within a top tier law firm, corporate legal team, or public sector legal environment.</li><li>A strong understanding of legal workflows, legal processes, and the practical realities of delivering legal services.</li><li>Proven confidence engaging with senior legal stakeholders, with the ability to establish trust and credibility quickly.</li><li>Clear, persuasive communication skills, with the ability to engage legal, operational, and executive audiences effectively.</li><li>A genuine interest in legal technology and the application of AI to enhance the quality and efficiency of legal work.</li></ul>

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29 designing Jobs found

AVP/VP, Software Engineer, Technology Group

Lead, Data & AI Governance

AI Analytics and Visualization Engineer

AVP, Principal Software Engineer (Senior Technical lead)

VP, IS Risk - Assurance

MFG & Process DVL Engineer 2

Assistant Production Manager – Events & Entertainment

Software Engineer - ERP

Lead Quality Automation Engineer

Legal Workflow Automation Executive

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AVP/VP, Software Engineer, Technology Group

Lead, Data & AI Governance

AI Analytics and Visualization Engineer

AVP, Principal Software Engineer (Senior Technical lead)

VP, IS Risk - Assurance

MFG & Process DVL Engineer 2

Assistant Production Manager – Events & Entertainment

Software Engineer - ERP

Lead Quality Automation Engineer

Legal Workflow Automation Executive

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow is on a mission to connect companies with the best talent across the globe.