Senior Manager, Business Intelligence

In compliance with applicable laws, HSBC is committed to employing only those who are authorized to work in the US. Applicants must be legally authorized to work in the U.S. as HSBC will not engage in immigration sponsorship for this position.

Our purpose – Opening up a world of opportunity – explains why we exist. Here at HSBC, we use our unique expertise, capabilities, breadth, and perspectives to open up new kinds of opportunity for our more than 40 million customers. We’re bringing together the people, ideas and capital that nurture progress and growth, helping to create a better world – for our customers, our people, our investors, our communities, and the planet we all share.

This position sits within the Global Payment Solutions (GPS) Business Management, Revenue Management, and Product Delivery teams, providing advanced analytical support across GPS globally.  GPS is seeking a Senior Manager, Business Intelligence to join the Data and Insights team, reporting to the Data and Insights Manager. The successful candidate will be a proactive, innovative thinker with a robust analytical background and proficiency in at least one programming language (e.g., BigQuery, SQL, Python, R).

The role is primarily focused on delivering ad-hoc analytical projects, including data strategy, development, modelling, and segmentation, to drive informed decision-making and optimise business performance at a global level. The candidate will be instrumental in converting raw data into actionable business intelligence, enabling the organisation to anticipate trends, improve commercial outcomes, and surpass client expectations consistently across regions.

As our Analytics and Insights Product Owner you will:

• Deliver analytical support across multiple global customer, product, and channel initiatives, providing insights that inform strategy, optimise resources, and deliver best-in-class solutions across markets
• Contribute to, and potentially lead, initiatives to establish global analytical best practices, standards, and reusable assets (e.g., common KPI definitions, dashboards, code libraries, modelling approaches)
• Design, implement, monitor, and evaluate analytic solutions that generate significant financial value across regions, ensuring scalability and comparability of insights
• Assess statistical models and tools, including those for attrition, profitability, customer value, and price/rate sensitivity, ensuring they are fit-for-purpose across different market dynamics
• Manage analytic deliverables supporting global Operating Plans, performance management, and Product Pricing strategies, including regional roll-ups and executive level insights
• Champion a data-driven culture, embedding analytical insights into strategic decision-making and fostering a test-and-learn environment across GPS globally
• Engage with key stakeholders across GPS and CIB (Corporate and Institutional Banking) business functions globally, partnering with regional product, sales, coverage, and business management teams
• Collaborate with support areas such as Marketing, Operations, Finance, Risk, Legal, and Compliance to ensure insights and solutions are aligned to local requirements while meeting global governance expectations
• Translate complex analysis into clear, actionable recommendations for senior stakeholders across multiple time zones and stakeholder groups
• Support the Data and Insights Manager, as well as senior management, in delivering a high-quality, data-driven analytics function with global coverage and consistency
• Collaborate with GPS stakeholders to develop and implement advanced analytic solutions that drive financial outcomes and enhance customer experience across markets
• Promote a diverse and inclusive environment aligned with HSBC’s values, working effectively across cultures, geographies, and perspectives
• Support the development and monitoring of analytic solutions aligned with strategic objectives, leveraging modern data architectures and advanced analytics (Big Data, Machine Learning, AI) in a way that scales globally
• Produce and review required reports, KPIs, and programming logs, ensuring compliance with internal processes, data governance standards, and global control frameworks
• Conduct post-implementation reviews to refine future strategies and solutions, capturing lessons learned and enabling reuse across regions
• Identify risks (e.g., data quality, model risk, privacy, regulatory constraints, operational resilience) and develop mitigation plans in partnership with relevant global and regional stakeholders<