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Job title: DataStage Data Engineer Location: London (Hybrid) Day Rate: £514.00 per day Contract Length: 12 Months IR35 Status: Inside IR35 Public Sector Overview An exciting opportunity is available for an experienced DataStage Data Engineer to join a high-profile programme delivering complex data integration and migration solutions within a large-scale enterprise environment. The successful candidate will play a key role in designing, developing, and supporting robust data pipelines, ETL processes, and data warehouse solutions using a range of AWS and enterprise data technologies. This role requires a strong technical background in data engineering, ETL development, cloud-based data platforms, and DevSecOps practices. You will work closely with architects, developers, business stakeholders, and delivery teams to ensure the successful movement, transformation, and management of critical business data. Key Responsibilities * Design, develop, and maintain scalable ETL and data migration solutions using IBM DataStage. * Build and optimise batch and real-time data integration pipelines to support business and operational requirements. * Develop and enhance data warehouse solutions, ensuring high performance, resilience, and scalability. * Design and implement data solutions using AWS services, including Amazon Redshift, Amazon S3, and Amazon QuickSight. * Collaborate with cross-functional teams to analyse data requirements and translate them into technical solutions. * Support the adoption of DevSecOps principles, ensuring secure and automated deployment practices. * Develop and maintain high-quality code using Java and SQL. * Design, query, and optimise relational database structures and data models. * Implement source control, version management, and CI/CD processes using GitHub and/or GitLab. * Troubleshoot and resolve data-related issues, ensuring data integrity and platform stability. * Contribute to technical design reviews, code reviews, and best practice initiatives across the engineering team. Essential Skills & Experience * Strong commercial experience with IBM DataStage. * Proven expertise in data migration and ETL development, including both batch and real-time processing. * Experience designing and supporting enterprise data warehouse solutions. * Hands-on experience with: o Amazon Redshift o Amazon S3 o Amazon QuickSight * Strong understanding of DevSecOps methodologies and modern software delivery practices. * Proficiency in Java development. * Advanced SQL skills. * Experience working with relational databases. * Hands-on experience with GitHub and/or GitLab. * Strong analytical, problem-solving, and stakeholder engagement skills. * Ability to work effectively within Agile delivery environments. Desirable Skills * Experience implementing and monitoring data quality frameworks. * Knowledge of XML technologies and data formats. * AWS Certified Data Analytics or AWS Data Specialty Certification. * Experience working within large-scale cloud migration or transformation programmes. Candidate Profile The ideal candidate will be a proactive and technically strong Data Engineer with a proven track record of delivering enterprise-scale data solutions. They will possess excellent communication skills, a collaborative approach to problem solving, and the ability to operate effectively within fast-paced, complex environments. Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take a minimum 10 weeks. LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. An award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over multiple years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.

Job title: Data Engineer Location: London (Hybrid) Contract Length: 12 Months Service: Hybrid Cloud & Data Service Area: Big Data Services Day rate: £511.50 IR35: Inside Overview We are seeking an experienced Data Engineer to join a leading Hybrid Cloud & Data team, supporting large-scale data transformation and migration initiatives. The successful candidate will be responsible for designing, developing, and maintaining DataStage pipelines, ensuring the efficient extraction, transformation, and loading (ETL) of data from source systems into target data models. Working within a collaborative delivery environment, you will play a key role in data integration, migration, testing, and deployment activities while engaging with stakeholders across technical and business teams. Key Responsibilities * Design, develop, and maintain DataStage ETL pipelines. * Build robust data integration solutions to support business and project requirements. * Transform, cleanse, and migrate data between complex source and target systems. * Apply MOSAIC or equivalent data migration methodologies to ensure successful project delivery. * Develop and maintain XML and XSLT components for data transformation activities. * Collaborate with architects, analysts, developers, and business stakeholders to define data requirements and solutions. * Utilise Jira for project management, sprint planning, issue tracking, and workflow management. * Perform unit testing, system testing, and defect resolution activities. * Execute and monitor DataStage jobs, ensuring high levels of performance, reliability, and data quality. * Support production releases and provide troubleshooting for data-related issues. * Contribute to continuous improvement initiatives and best practices within the data engineering function. Required Skills & Experience * Strong commercial experience with DataStage Designer and ETL development. * Proven experience designing and maintaining complex DataStage pipelines. * Knowledge of MOSAIC, Data Migration Methodologies, or equivalent data migration frameworks. * Strong experience with XML and XSLT for data transformation and integration. * Practical experience using Jira for project and issue management. * Ability to test solutions, validate data quality, and execute DataStage jobs. * Strong analytical and problem-solving skills. * Excellent communication and stakeholder management abilities. * Experience working within Agile delivery environments. * Proactive mindset with a commitment to continuous improvement and learning. Desirable Skills * Experience delivering large-scale data migration programmes. * Knowledge of cloud-based data platforms and modern data architectures. * Experience within enterprise-scale transformation programmes. * Familiarity with data governance, data quality, and data lineage principles. What's on Offer * 12-month contract on a high-profile data transformation programme. * Hybrid working arrangement based in London. * Opportunity to work on complex data integration and migration projects. * Collaborative environment alongside experienced data and cloud professionals. LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. A multiple award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over consecutive years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.

Job title: Data & AI Product Owner Contract Length: 1 year Location: London (hybrid) IR35: Inside Sector: Oil & Gas / Energy Role Summary We are seeking an experienced Data & AI Product Owner with a strong consulting mindset to lead the vision, strategy, and delivery of AI-powered products and enterprise data platform capabilities. This role will sit at the intersection of business, data, and technology, helping stakeholders identify high-value opportunities, define product strategies, and deliver Data & AI solutions that generate measurable business outcomes. The successful candidate will be responsible for driving product direction while acting as a trusted advisor to senior business leaders on AI, analytics, data strategy, and digital transformation. A key requirement for this position is strong hands-on experience delivering enterprise data platforms, particularly within Databricks environments. The successful candidate must possess practical knowledge of modern data platform concepts and be able to confidently discuss and lead delivery across areas such as data ingestion, Change Data Capture (CDC), Medallion Architecture, data pipelines, data governance, and Lakehouse design. This is not purely a strategic Product Owner role; candidates must have a proven track record of delivering data platform initiatives and working closely with Data Engineers, Architects, and AI teams to drive successful outcomes. Key Responsibilities * Define and own the vision, strategy, roadmap, and value realization plan for Data & AI products. * Partner with business stakeholders to identify and prioritise opportunities across AI, GenAI, Data Analytics, Automation, and Data Platform initiatives. * Act as a trusted advisor, translating business challenges into scalable data and AI-driven solutions. * Lead product discovery activities, business case development, value estimation, and prioritisation. * Define and manage product roadmaps, backlogs, user stories, acceptance criteria, and release plans. * Drive delivery of AI use cases involving: o Microsoft Copilot o AI Agents o RAG (Retrieval-Augmented Generation) o Knowledge Assistants o Intelligent Automation o Predictive Analytics o Generative AI Solutions * Collaborate closely with Product Managers, Data Engineers, AI Engineers, Architects, and Delivery teams. * Lead stakeholder engagement activities and influence strategic decision-making at senior leadership level. * Ensure Data Governance, Security, Compliance, and Responsible AI principles are embedded throughout the product lifecycle. * Define, monitor, and report on KPIs, business outcomes, adoption metrics, and ROI. * Drive organisational adoption of Data & AI capabilities through effective change management and stakeholder engagement. Essential Skills & Experience * Extensive experience working as a Data Product Owner, AI Product Owner, Product Manager, Product Lead, or Management Consultant. * Strong background delivering enterprise Data & AI programmes and digital transformation initiatives. * Proven experience translating business requirements into data and AI product strategies. * Deep understanding of: o Generative AI o Agentic AI o Machine Learning o Data Analytics o Enterprise Data Platforms * Experience with AI ecosystems including: o Microsoft Copilot o Azure AI Foundry o GitHub Copilot o Claude o Databricks Mosaic AI o MLflow o AI Agents o Knowledge Assistants * Strong practical experience with modern cloud data platforms and Lakehouse architectures. Databricks & Data Platform Expertise (Essential) Candidates must have demonstrable hands-on experience delivering enterprise-scale data platforms using Databricks and related technologies. They should be able to clearly articulate and provide practical examples of: * Data ingestion frameworks and patterns. * Change Data Capture (CDC) methodologies. * Medallion Architecture (Bronze, Silver, Gold). * Data Lakehouse architecture and platform design. * Batch and real-time data processing. * Data modelling and transformation strategies. * Data quality, governance, lineage, and observability. * Enterprise-scale data platform delivery and optimisation. The successful candidate must be capable of engaging credibly with engineering and architecture teams, challenging technical decisions where appropriate, and ensuring platform delivery aligns with business objectives. Preferred Experience * Experience within large enterprise environments. * Experience delivering Data & AI products within energy, commodities trading, manufacturing, supply chain, financial services, or similarly complex sectors. * Previous experience leading AI transformation and AI adoption programmes. * Exposure to Prompt Engineering, AI Governance, and Responsible AI frameworks. * Consulting, advisory, or strategy delivery experience. * MBA or equivalent commercial and consulting experience. Key Competencies * Product Strategy & Roadmap Development * Data Platform Delivery * Databricks & Lakehouse Technologies * AI & Generative AI Solutions * Stakeholder Management * Business Case Development * Value Realisation & ROI Measurement * Digital Transformation * Agile Product Delivery * Executive Communication & Influencing Success Measures * Increased adoption of Data & AI capabilities across the organisation. * Delivery of scalable, high-performing enterprise data platform solutions. * Successful implementation and adoption of AI and GenAI products. * Demonstrable business value, productivity gains, and operational efficiencies. * Strong stakeholder engagement and user satisfaction. * Delivery of strategic Data & AI initiatives aligned to business priorities. Ideal Profile A hybrid Product Owner, Data Platform Specialist, Management Consultant, and AI Strategist who combines strong commercial and stakeholder management skills with practical experience delivering modern data platforms. The ideal candidate will be equally comfortable presenting to executive stakeholders, shaping product strategy, defining AI use cases, and discussing technical concepts such as Databricks, data ingestion, CDC, Medallion Architecture, Lakehouse platforms, and enterprise data engineering delivery. LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. A multiple award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over consecutive years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.

Data Analytics Senior Manager – Kings Cross London The Data Analytics team provides information that is accurate, consistent, timely and reliable, and ensure the information is easily available to users for direct consumption or integration with other systems. The DA team trains CSI managers and staff to use the data as an analytical tool for the purpose of understanding and option exploration. Champion enterprise-wide culture of fact-based decisions, data quality and accountability. Serve as the administrative chair facilitating a business data analytics governance council which shall review and approve information policies, data analytics priorities and resource allocations. Review and recommend approval for information related policies, procedures and standards. Directs, organizes, and leads DA workstream projects. Works on highly complex, cross-functional, and enterprise solutions. Establishes processes, roles and quality criteria for workstream planning process including inception, technical design, development, testing and delivery of DA solutions. Reviews and approves work plans, timelines, deliverables and resource commitments. Reviews and approves data architecture, data models and specifications. Establishes and publishes performance metrics and plans for DA service demand and service levels. Prepares and manages annual capital and operating budgets for DA assets, personnel and services. Recruits, hires, develops and motivates the DA team members. Reviews and approves functional requirements and business cases for DA improvements. Advises executives on how DA (processes, practices and technologies) play a critical role in improving business management and optimization. Aligns DA technologies with CSI strategic initiatives. Approves selection of tools, frameworks and mechanisms for data analytics. Responsible for strategic, tactical, operational, financial, human, and technical resource managerial responsibilities associated with the following DA and DA-related functional areas: Data governance Data preparation (sourcing, acquisition, integration) Data warehousing Reporting, analytics, data exploration Information delivery (portals, mobile) DA competency center or center of excellence (DA COE) A university degree in computer science, economics, operations, management, or a related field is required A minimum of five (5) years of progressively responsible experience in a directly related area, during which both professional and management capabilities have been clearly demonstrated. Industry/domain skills: Extensive expertise in finance, HR, sales, marketing, product lifecycle management, manufacturing and post-sales service. Medical device or pharmaceutical industry experience is preferred. Experience in and understanding of a wide variety of analytical processes (governance, measurement, etc.). Experience with agile software development. A solid understanding of key trends including machine learning and artificial intelligence. General business skills: Analytical mind with a problem-solving aptitude expressed with clear, concise written, verbal and presentation skills. Experience managing global, complex projects and teams. Ability to complete projects and achieve results in an ambiguous work environment. Ability to take initiative and be innovative. Ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results. Ability to build and motivate a team to achieve well communicated expectations. Strong leadership and consensus building abilities across global cultures and all levels of management. The salary for this role is expected to be in the range £70K - £85K. Location is Kings Cross London. Please send your CV to us in Word format along with your salary and availability.

Data Analytics Senior Manager – Kings Cross London The Data Analytics team provides information that is accurate, consistent, timely and reliable, and ensure the information is easily available to users for direct consumption or integration with other systems. The Data Analytics team trains CSI managers and staff to use the data as an analytical tool for the purpose of understanding and option exploration. Champion enterprise-wide culture of fact-based decisions, data quality and accountability. Serve as the administrative chair facilitating a business data analytics governance council which shall review and approve information policies, data analytics priorities and resource allocations. Review and recommend approval for information related policies, procedures and standards. Directs, organizes, and leads Data Ananlytics workstream projects. Works on highly complex, cross-functional, and enterprise solutions. Establishes processes, roles and quality criteria for workstream planning process including inception, technical design, development, testing and delivery of DA solutions. Reviews and approves work plans, timelines, deliverables and resource commitments. Reviews and approves data architecture, data models and specifications. Establishes and publishes performance metrics and plans for DA service demand and service levels. Prepares and manages annual capital and operating budgets for DA assets, personnel and services. Recruits, hires, develops and motivates the DA team members. Reviews and approves functional requirements and business cases for DA improvements. Advises executives on how DA (processes, practices and technologies) play a critical role in improving business management and optimization. Aligns DA technologies with CSI strategic initiatives. Approves selection of tools, frameworks and mechanisms for data analytics. Responsible for strategic, tactical, operational, financial, human, and technical resource managerial responsibilities associated with the following DA and DA-related functional areas: Data governance Data preparation (sourcing, acquisition, integration) Data warehousing Reporting, analytics, data exploration Information delivery (portals, mobile) DA competency center or center of excellence (DA COE) A university degree in computer science, economics, operations, management, or a related field is required A minimum of five (5) years of progressively responsible experience in a directly related area, during which both professional and management capabilities have been clearly demonstrated. Industry/domain skills: Extensive expertise in finance, HR, sales, marketing, product lifecycle management, manufacturing and post-sales service. Medical device or pharmaceutical industry experience is preferred. Experience in and understanding of a wide variety of analytical processes (governance, measurement, etc.). Experience with agile software development. A solid understanding of key trends including machine learning and artificial intelligence. General business skills: Analytical mind with a problem-solving aptitude expressed with clear, concise written, verbal and presentation skills. Experience managing global, complex projects and teams. Ability to complete projects and achieve results in an ambiguous work environment. Ability to take initiative and be innovative. Ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results. Ability to build and motivate a team to achieve well communicated expectations. Strong leadership and consensus building abilities across global cultures and all levels of management. The salary for this role is expected to be in the range £70K - £85K. Location is Kings Cross London. Please send your CV to us in Word format along with your salary and availability.

Head of Digital & Data Our Client is bank based in Central London with offices across Europe. They are looking to recruit an expert candidate for the Head of Digital position – which is an exciting new position. You will have proven track of working within the banking World and delivering digital capabilities for the bank. You must have at least 5 to 10 years expertise in the digital space within the banking World. This is a senior position and will report to the Board at the bank. The Digital & Data Lead role is responsible for overseeing the strategy and development of the Bank's digital products and processes and design and implementation of Bank wide data governance framework. Playing an important role within the Bank's Digital Transformation programme, the role holder will: • Work with multi-disciplinary teams responsible for researching, designing, building and/or procuring, and releasing transformative user journeys – for both customers and employees. • Responsible for engaging collaboratively with the various business and support functions in order to ensure all interests are represented in the development of the Bank's future state digital capability and to support the adoption and embedding of new digital processes. • Define the overarching digital products and processes vision, building the roadmaps and leading the prioritisation to deliver that vision in a performant, secure and user focussed way. In doing so, ensure alignment to wider Bank strategy and ensure that maximum business value is achieved. • Accountable for delivering and then driving the continual optimisation of the digital products and processes to support the realisation of a seamless, flexible customer and colleague experience. • Responsible for design and implementation of bank wide data governance framework and ensure businesses and support functions are held accountable for ownership and maintenance of accurate data within the bank's ecosystem. • Responsible for governance, risk management and regulatory compliance activities relating to the digital products and processes under development, forging strong, effective relationships with the 1st and 2nd line control functions. • Develop an inclusive and collaborative culture where the advice and knowledge of skilled specialists around user insights, journey and UX design, technology delivery, security and infrastructure are heard and respected in order to develop highly effective digital products through a process of research, ideation and design. • Forge a strong working relationship with Technology and partner with them on the development and delivery of the digital products and processes. • Work closely with stakeholders in Group to accelerate digital development and ensure optimal ways of working. Candidate expertise: • Outstanding SME in digital product and process management and digital user experience design, within the Financial Services industry. • Customer-centric with a strong focus on end user experience and outcomes. • Demonstrable experience in the end to end lifecycle of product and process development, including managing and delivering high quality digital products and processes to end users, from ideation through to delivery, feedback and improvement. • Experience and/or a robust understanding of the bank wide processes is highly desirable. • In-depth knowledge of agile methodologies and significant experience of working within an agile environment. • High degree of proficiency in prototyping and iterative development, with experience in building product teams desirable. • Highly positive and effective leader, who actively coaches, develops, and supports team members, sharing their experience and knowledge with others. • Be driven, have high levels of personal accountability, not being afraid to be hands-on and get into the detail. • Strong influencing skills with the ability to confidently represent the Digital Product area and gain buy-in to the strategy and roadmap with a diverse set of stakeholders. • Ability to work independently and manage multiple projects simultaneously, often with competing priorities. • Have strong people skills; approachable, empathetic and able to work with people to achieve progress. • Have strong written and verbal communication skills. • A good knowledge of the Financial Services industry. • Strong awareness of the digital banking ecosystem, keeping abreast of market trends and competitor propositions. • Relevant certifications or qualifications in agile product management or aligned disciplines. • Understanding of development processes and business case development. Role requirements: • Actively Builds Relationships • Embraces Change and Technology • Creates Business Value • Role Specific Regulations • Risk Management, Governance and Controls • Consumer Duty This is a hybrid role – at least 3 days in the office in Central London. The salary will be circa £100K - £140K plus benefits – dependent on experience. Do send your CV to us in Word format along with your salary and notice period.

Senior MI Business Analyst/Project Manager Our Client is a bank based in the City and are looking to recruit a Senior MI Business Analyst with Project Management skills. You will have at least 6 to 10 years proven hands-on expertise. Focus of the role: · Help the organisation (Senior Management and SMEs) to review business and financial performance of the organisation based on data and facts, advance understanding of the business success factors, business results and risks. · Develop technical and business solutions for MI, enable effective data management and sourcing of the data for MI, reporting and project activities. · Interact with vendors, Project teams and Development team in London and other sites to align delivery of the MI and sourcing of the data across business functions and entities. Responsibilities: · Develop MI and Reports predominantly for the business functions and SMEs, based on their requirements and expressed needs. Interact with other information workers (in business and finance teams) to ensure the data produced by those are sync'ed and “tells same story”. · Ensure the overall strategy of the data management within the Bank, guard and rationalise development or new data sources for MI purposes, align business and technical understanding of the available data with the requirements. · Facilitate and lead enhancements of the available data sources that would assist the organisational performance and guide the organisation in effort to optimise and automate business processes to collect and use data for reporting and MI purposes. · Working with team members and Subject Matter Experts or SMEs on identifying, designing, building, and performing analytics to provide risks and controls insights to business partners & Internal Audit · Document business MI Solutions to ensure this knowledge is retained within the organisation, interact with operational and technology management regarding access, processing, reporting, and integrity of source systems and data repositories, to educate them on data available to in organisation, how the data could be used. · Influence the technical team and the business to ensure the technical environment address current and aligned with future business needs and organisational skills. Key Skills: · Technical o Advance SQL querying skills, ability to write complex SSRS formulas o In-depth knowledge of MS SQL Server and experience to deliver MI and reporting solutions using the entire spectrum of the MI solutions (SSIS, SSRS, Power BI) ideally on early versions (2013/2016) and assist the organisation to migrate to later versions. o Exposure and high-level understanding of the SSAS and MDX language (although the organisation currently does not use OLAP). o Good exposure to PowerBI and advance knowledge of DAX (query language) and data modelling using this tool. o Good working knowledge of Excel capability, use of the reporting purposes, and formulas; desired VBA skills to optimise the data presentation. o Ideally, working knowledge of Hyperion/Essbase. o Working knowledge of SharePoint and its use to manage the MI, automate MI and reporting workflow, information and report distribution. o Good working practice designing data collections by using Kimball methodology. · Non-technical: o Practical understanding of the Data Visualisation techniques and principles. o High-level understanding of the data management and its impact on organisation's bottom line. o Stakeholder management and interpersonal skills to understand the business requirements, link them to a business narrative and softly guide SME by delivering the requested MI. o Some understanding of the architectural principles, Agile methodology to engage users and deliver business solutions. o Ability to communicate complex technical concepts and narrative to business audience and non-technical teams. This is a Full Time Contract – duration is 12 months. Salary will be dependent upon experience and expertise – but will be in the range £60K - £75K. Please send your CV to us in Word format along with your salary and availability.

We are seeking an experienced and commercially minded product leader to play a key role in the ongoing growth and success of a fast-scaling software business. This position will be responsible for driving operational excellence across the product function, ensuring teams, processes and delivery frameworks are aligned to support continued growth, customer satisfaction and product innovation. The successful candidate will work closely with Product, Engineering, Customer Success and Senior Leadership teams to improve visibility, accountability and execution across multiple business-critical initiatives. This role requires someone who can combine strategic thinking with hands-on execution, helping to establish best practices while enabling high-performing teams to deliver consistently. Key ResponsibilitiesDrive continuous improvement across product and delivery processes, identifying opportunities to increase efficiency and effectiveness. Collaborate with Product and Engineering leadership to establish scalable operating frameworks. Develop and maintain reporting mechanisms, KPIs and performance metrics to track product and delivery outcomes. Ensure product roadmaps, priorities and delivery plans remain aligned with wider business objectives. Facilitate effective cross-functional collaboration between technical, commercial and operational teams. Identify risks, dependencies and delivery challenges, implementing solutions before they impact business performance. Support resource planning, capacity management and prioritisation activities across multiple workstreams. Improve visibility of product initiatives through structured governance, reporting and stakeholder communication. Champion operational excellence and best practice across the organisation. Lead, coach and mentor team members, fostering a culture of accountability, collaboration and continuous improvement. Help define and implement the tools, systems and processes that enable teams to work more effectively. Support business growth by ensuring the organisation can scale without compromising quality, performance or customer experience. Experience & Skills RequiredProven experience in a Product Operations, Product Delivery, Programme Management or Product Leadership position. Experience working within a SaaS, software or technology-driven environment. Strong understanding of Agile methodologies and modern product development practices. Demonstrated success improving operational processes and delivery performance. Experience leading cross-functional teams and managing senior stakeholders. Strong analytical and problem-solving capabilities with a data-driven approach to decision-making. Excellent communication and influencing skills. Ability to balance strategic planning with day-to-day operational execution. Experience implementing reporting structures, KPIs, OKRs and performance frameworks. Strong organisational skills with the ability to manage multiple priorities simultaneously. To find out more about Computer Futures please visit Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales