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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. AVP Information Management, GSC's - **Company:** HSBC Group - **Location:** UK - **Experience:** Expert - **Salary:** £50,224.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Confluence, JIRA, Big Data, Digital Assets, R (Programming Language), Information Management, Python (Programming Language), Machine Learning, SQL Databases, Apache Spark, Data Strategy, Data Analytics, Data Management - **Published:** October 24, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5210480317 ## About the Role The Data Science sub-chapter Provides cross-disciplinary skills to lead data exploratory analysis, run POCs and prototypes, having a comprehensive understanding of the end to end data lifecycle. Experience in engaging with and communicating to technical and non-technical audiences and capable of identifying the best data solution to solve business problems. Members of the chapter have a broad understanding of different analytics techniques (e.g. NLP, Optimisation, Classification, regression) and data types (structured, unstructured, semi-structured) and their utilisation; these individuals should have strong quantitative background e.g. Mathematics, Statistics and Probability and be able to perform complex queries using Data Science tools e.g. SQL, Python, Spark, R., What you will need to succeed in the role: * Minimum 5 years of overall experience. * Strong knowledge of Business and Data Analysis and Artifacts: BRD, FSD, Use Case, Confluence, JIRA * Strong Knowledge of SQL. * Excellent analytical, mathematical, and creative problem-solving skills * Excellent listening, interpersonal, written, and oral communication skills * Ability to effectively prioritize and execute tasks while under pressure * Experience working in a team-oriented, collaborative environment * Proven ability to interpret large data sets, articulate complex issues concisely and in simple language to support problem analysis/solving * Ability to deal with and constructively resolve conflicting views and where necessary, escalate to senior management in a clear and succinct manner, * Broad and comprehensive understanding of concepts and principles within one discipline Business / Commercial knowledge * The role requires a sound understanding of a value unit / product / region / legal entity, alongside a good understanding of the industry and the challenges and changes in the sector. Leadership * Management responsibilities for a sizeable team of professionals (including responsibility for budget, and planning) Problem Solving * Covers a wide range of activities that require evaluative judgements based on the analysis of factual and qualitative information in complicated perhaps novel situations Innovation * Seeks ways of improving and adapting day to day departmental activities and will actively seek authority to implement them Accountability / decision making * Latitude to make decisions outside of established procedures but within a policy framework. Broad guidelines are available. Role implements strategy set by others. Strategic Responsibility * Implements business plans through own team and is accountable for results. Communication * The role requires the ability to guide, persuade and influence others through the developed skills of communication and diplomacy. * Establishing effective collaborative relations with external organisations is a critical part of the job. ## Description HSBC Data & Architecture Office (DAO) promotes a data-driven culture across HSBC through our strategy of: * Protect: To protect our data we need robust policies for data management and enhanced governance e.g. data that is consumed from a trusted source, meets quality standards, and complies with regulatory obligations. * Connect: Move to a data-led culture through enhanced training including on the job opportunities. Our talent is the glue between protecting our data and unlocking value for our customers. * Unlock. Value is unlocked when we deliver on the opportunities our well-managed data presents e.g. improving customer / colleague experience, increasing revenue, commercialising our data, optimising capital, enhancing risk management or reducing costs. The Senior Business Analyst primarily supports the Unlock pillar of the strategy. Key priorities include: * Gather detailed data requirements from stakeholders * Build insights and data assets * Unlock opportunities to derive higher returns with improved Data Quality The Opportunity: Principal Accountabilities and Responsibilities (e.g., for Business, Customers and Stakeholders; internal control environment, etc.) Data and Analytics Professionals at HSBC have responsibility for executing our HSBC Data Strategy. * Elicit, analyze, specify, and validate the business needs of stakeholders, be they customers or end users. * Gather detailed data requirements and build effective strategies to collect data, analyze information, conduct research, and implement analytics solutions for business. * Identify, analyze, and interpret trends or patterns in complex data sets * Developing and implementing data analyses, data collection systems and other strategies that optimize efficiency and quality * Participates in the QA solutions to ensure features and functions have been enabled and optimized. * Develops and utilizes standard templates to accurately and concisely write requirements specifications. * Communicates changes, enhancements, and modifications of business requirements - verbally or through written documentation - to project managers, sponsors, and other stakeholders so that issues and solutions are understood. What you'll do: Leadership & Teamwork Provides clear direction, prioritises tasks and monitors workflow within own area for a midsized team, or leads project delivery for complex assignments with supervisory responsibilities Chapter / Sub-chapter Knowledge The Analytics & Data Science chapter communicates the power and purpose of Analytics, Artificial Intelligence (AI) and Machine Learning (ML) through the use of scientific methods, processes, algorithms and systems. The Chapter contributes to value creation by identifying new opportunities and providing expertise to support delivery of complex analytics use cases. This includes prototyping, experimentation, development and implementation of various analytical techniques using tools such as SQL, Python, Spark and R.