Arrow Global Group

Application Manager Department: IT & Change Employment Type: Permanent - Full Time Location: Manchester, UK This is a newly created, strategically important role responsible for managing the full lifecycle of AI tools and business applications across the organisation. As AI adoption accelerates and programme-led application stacks continue to grow, this role provides the structure, governance, and expertise needed to evaluate, implement, configure, and sustain new tooling responsibly - balancing innovation with due diligence. The AI & Applications Manager will act as the central point of coordination between the business, IT, Legal, Infosec, the DPO, and programme stakeholders including the AI adoption team - ensuring that every tool in the organisation's portfolio has been properly assessed, approved, adopted in a controlled and compliant manner, and continues to deliver value in service. About the role Monitor and assess feature releases across AI platforms (ChatGPT, Claude, Microsoft Copilot, Google Gemini), with a focus on security, data handling, and data leakage risks Maintain a live register of all AI tools in use across the organisation, conducting ongoing reviews for compliance and fitness for purpose Lead proof-of-concept and pilot programmes, defining success criteria and managing the transition of approved tools from evaluation to production Own the evergreening programme for Buy applications, tracking vendor release cycles and coordinating testing, approval, and deployment of updates Act as the internal subject matter expert and first point of contact for all AI tool queries Translate business requirements into structured evaluation and procurement briefs, managing a formal intake process for all requests Lead cross-functional due diligence working with DPO, Infosec, Legal, and IT to ensure tools meet data, security, and contractual standards Monitor regulatory developments including the EU AI Act, UK AI Framework, and GDPR, assessing impact on tooling decisions Define and enforce acceptable use policies for AI tools across the organisation Contribute to the organisation's AI and technology roadmap, reporting to senior leadership on adoption progress, risks, and opportunities Benchmark the organisation's AI maturity against industry peers and best practice Manage the decommissioning of tools that are superseded, fail compliance, or no longer deliver value About you Proven experience managing SaaS applications or a business application portfolio through their full lifecycle Hands-on experience evaluating and implementing AI or automation tools in a business environment Demonstrated ability to manage cross-functional due diligence processes involving Legal, Infosec, and Procurement Strong stakeholder management - comfortable engaging at all levels from operational teams to senior leadership Working knowledge of mainstream AI platforms including Claude, ChatGPT, Google Gemini, and Microsoft Copilot, with an understanding of their capabilities, data handling practices, and enterprise licensing models Familiarity with AI-powered legal tooling such as Harvey or Luminance, and how these are applied in contract review, due diligence, and legal research workflows Familiarity with data privacy principles and GDPR compliance in a UK/EU context, with exposure to information security frameworks such as ISO 27001 or SOC 2 Knowledge of EU AI Act obligations or UK AI governance guidance Strong analytical and critical thinking skills - able to assess vendor claims and cut through noise Excellent written and verbal communication, with the ability to translate technical concepts for non-technical audiences Commercially aware - able to assess ROI, total cost of ownership, and contractual risk Naturally curious about technology and proactive in keeping up with the AI landscape, with the confidence to influence decision-making without direct authority

Arrow Global Group in Manchester is seeking an Application Manager responsible for managing the full lifecycle of AI tools and business applications. This role will coordinate with IT, Legal, and other stakeholders to ensure proper assessment and compliance of the tools in use. The ideal candidate will have experience in managing SaaS applications, evaluating AI tools, and strong communication skills. A familiarity with GDPR compliance and AI governance will be essential for success in this role.

Arrow Global Group is looking for a Data Steward to ensure proper data management and governance within its newly formed data group. The successful candidate will document data lineage, establish data quality standards, and serve as a bridge between business and technical teams. A degree in Computer Science or related field and proven experience in data management are required. Strong SQL skills and familiarity with data privacy regulations are essential for this role based in Manchester.

Data QA Engineer Department: IT & Change Employment Type: Permanent - Full Time Location: Manchester, UK Description We are looking for a highly skilled, experienced QA Engineer to play a foundational role in a newly formed Data-focused team. This position demands a quality-first mindset, strong test engineering capabilities, and proven experience validating data-intensive, cloud-native solutions. In this role, you'll partner closely with Data Engineers, Data Stewards, and business stakeholders to ensure data products and pipelines are reliable, accurate, and fit for purpose while proactively identifying opportunities for continuous improvement. The ideal candidate brings strength in both manual and automated testing and thrives in a hands-on, collaborative, fast-paced agile environment. Key Responsibilities Develop, maintain, and execute comprehensive test strategies, test plans, and test cases for data pipelines, datasets, and related data products. Proactively identify quality risks, testing gaps, and areas for improved QA coverage Identify, document, and track defects in Azure DevOps Partner closely with Data Engineers to drive timely defect fixes and verify remediation. Collaborate with cross-functional stakeholders to strengthen quality processes, documentation, and overall release readiness. Provide input into long-term QA strategy and continuous improvement initiatives. Perform other duties as assigned About you Degree in Computer Science, Software Engineering, Information Systems, or a related field is preferable. Proven QA/testing experience with data-intensive applications, ideally within cloud-native environments. Strong command of testing methodologies (functional, regression, integration, performance) and defect lifecycle management. Hands-on experience with test automation (e.g., Python or similar) and writing SQL queries for data validation and reconciliation. Experience testing data warehouses/lakes and pipelines; familiarity with data quality concepts and tooling is a plus. Exposure to Microsoft Azure services and modern data platforms (e.g., Synapse, Snowflake). Strong SQL skills for data validation, reconciliation, and troubleshooting. Understanding of loan lifecycle data (servicing, arrears, recoveries, asset resolution) or the ability to ramp up quickly. Resourceful, motivated self-starter with the ability to collaborate across business and technology teams

Arrow Global Group is looking for a skilled Data QA Engineer to ensure the reliability and accuracy of data products in Manchester. You will develop and execute test strategies, collaborate with Data Engineers, and identify defects in Azure DevOps. The ideal candidate will have solid QA experience, strong SQL skills, and hands-on test automation knowledge. This permanent full-time role offers the opportunity to work in a fast-paced, collaborative environment focused on continuous improvement.

Data Steward Department: IT & Change Employment Type: Permanent - Full Time Location: Manchester, UK Description We are seeking highly skilled and experienced Data Stewards to join a newly formed group concentrating on Data. The primary focus of the role will be to serve as a 'good steward' of the data by documenting the journey of it from source to target and all transformations in between. The Data Steward will act as a bridge between the business and the technical team, helping to establish standards, ownership, and trust in our data assets. Ultimately, this is a key role that helps us manage and exploit data as an asset. Key Responsibilities Complete and maintain the group's Data Catalog Document data lineage, transformations and cleansing rules Work with Data Engineering to ensure data is handled correctly Help define effective Data Quality rules for the data they deal with Work with the Business and Data Engineers to help bottom out issues with the data Help drive root cause remediation of data issues at the platform/source Above all, the Data Steward is expected to serve as a subject-matter expert in the datasets they deal with and serve as the point of contact for them within the team About you Degree in Computer Science, Information Systems, Data Science, or a related field is preferable Proven experience in a Data Governance or Data Management program Familiarity with data privacy regulations (GDPR, CCPA) A background in financial data domains (IBOR/ABOR, transactions, market data, reference data) Strong experience within Real Estate, Credit, Banking, or NPL Asset Management Resourceful, motivated self-starter with the ability to collaborate across business and technology Strong analytical, verbal, and written communication skills Ability to acquire a deep understanding of specific datasets and how they flow Comfortable working in a fast-paced, evolving environment where processes are still being defined Proficiency in SQL is a must. Proficiency in Python is a plus

Arrow Global Group in Manchester is seeking a skilled Data Engineer specialized in Azure technologies. This position focuses on creating and managing Data Pipelines relevant to the Financial Services industry, requiring strong experience in data integration and collaboration across teams. The ideal candidate will have a degree in a related field and proven experience in developing resilient data solutions. A background in financial data domains is preferable, along with excellent communication skills.

Data Engineer Department: IT & Change Employment Type: Permanent - Full Time Location: Manchester, UK Description We are seeking highly skilled and experienced Azure Data Engineers to join a newly formed group concentrating on Data. Within this role you will be a key member of the team, working on a complex and challenging project within the Financial Services/Capital Markets industry. The primary focus of the role would be on building resilient, reusable Data Pipelines to extract, load, and transform raw data into a relational data model. The successful candidate will work across complex, multi-source datasets including loan servicing systems, property and valuation platforms, collections systems, and third-party data providers, delivering reliable and auditable data at scale. Key Responsibilities Serve as the team's ADF, Databricks, Python, PySpark & Spark SQL technical expert Responsible for day-to-day collection & ingestion of raw data into corporate data assets Work with the team to formalize data flows and data standards Enable trusted datasets for portfolio analytics, asset strategy, finance, and risk Supervise all data ingestion & integration processes from source to target including the data warehouse, data lake, etc Performance tune and optimize all data ingestion and data integration processes Partner with Data Stewards and Business Analysts to understand the nature of the data being handled and what an optimal Data Pipeline for it should look like Design solutions that are aligned to the target state Data Architecture About you Degree in Computer Science, Information Systems, Data Science, or a related field is preferable Proven experience building resilient, reusable Data Pipelines as a Data Engineer or equivalent Resourceful, motivated self-starter with the ability to collaborate across business and technology Strong analytical, verbal, and written communication skills A background in financial data domains (IBOR/ABOR, transactions, market data, reference data) Strong experience as a Data Engineer within Real Estate, Credit, Banking, or NPL Asset Management Microsoft certification a plus