Senior Manager, Business Intelligence

About the role

The Senior Manager, Business Intelligence role is within the Global Payment Solutions (GPS) Business Management, Revenue Management, and Product Delivery teams. This position provides advanced analytical support globally and is responsible for delivering ad-hoc analytical projects.

Responsibilities

• Deliver analytical support across multiple global customer, product, and channel initiatives, providing insights that inform strategy, optimize 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.
• 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.
• 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.
• 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.

Requirements

A combination of relevant experience and education, such as several years of progressive analytical experience and/or a Bachelor’s degree in business, data science, statistics, economics, finance, information systems, or operational research. Advanced quantitative and analytical skills, including customer segmentation, statistical modelling, database marketing, and portfolio management, with a strong grasp of methodologies for optimizing and evaluating analytic solutions. Technical proficiency in BigQuery, SQL, SAS, Python, R, or similar, with demonstrated ability to manipulate and analyze large datasets. Solid understanding of data integration and management processes is essential. Experience with Google Cloud Platform (GCP) analytical tools (or equivalent) is highly desirable, including BigQuery for data warehousing, Data Studio for visualization and reporting, and Cloud AI tools for advanced analytics and machine learning. Ability to leverage GCP to enhance data workflows and implement scalable, data-driven solutions is expected. Strong problem-solving skills and the ability to collaborate effectively in a fast-paced environment with global stakeholders and competing priorities. High-level conceptual and strategic thinking, with the ability to translate ideas into actionable plans and solutions. Proven communication and influencing skills with executive management.

Qualifications

To succeed in this role, you should have:

• A combination of relevant experience and education, such as several years of progressive analytical experience and/or a Bachelor’s degree in business, data science, statistics, economics, finance, information systems, or operational research.
• Advanced quantitative and analytical skills, including customer segmentation, statistical modelling, database marketing, and portfolio management, with a strong grasp of methodologies for optimizing and evaluating analytic solutions.
• Technical proficiency in BigQuery, SQL, SAS, Python, R, or similar, with demonstrated ability to manipulate and analyze large datasets.
• Solid understanding of data integration and management processes is essential.
• Experience with Google Cloud Platform (GCP) analytical tools (or equivalent) is highly desirable, including BigQuery for data warehousing, Data Studio for visualization and reporting, and Cloud AI tools for advanced analytics and machine learning.
• Ability to leverage GCP to enhance data workflows and implement scalable, data-driven solutions is expected.
• Strong problem-solving skills and the ability to collaborate effectively in a fast-paced environment with global stakeholders and competing priorities.
• High-level conceptual and strategic thinking, with the ability to translate ideas into actionable plans and solutions.
• Proven communication and influencing skills with executive management.

Skills

Technical proficiency in BigQuery, SQL, SAS, Python, R, or similar, with demonstrated ability to manipulate and analyze large datasets. Solid understanding of data integration and management processes is essential. Experience with Google Cloud Platform (GCP) analytical tools (or equivalent) is highly desirable, including BigQuery for data warehousing, Data Studio for visualization and reporting, and Cloud AI tools for advanced analytics and machine learning. Ability to leverage GCP to enhance data workflows and implement scalable, data-driven solutions is expected. Strong problem-solving skills and the ability to collaborate effectively in a fast-paced environment with global stakeholders and competing priorities. High-level conceptual and strategic thinking, with the ability to translate ideas into actionable plans and solutions. Proven communication and influencing skills with executive management.

Benefits

HSBC offers a competitive pay and benefits package including a robust Wellness Hub, all in a welcoming and inclusive work environment. You will be empowered to drive HSBC’s engagement with the communities we serve through an industry-leading volunteerism policy, a generous matching gift program, and a comprehensive program of immersive Sustainability and Climate Change Initiatives. You’ll want to join our Employee Resource Groups as they play a central part in life at HSBC, including the development of our employees and networking inside and outside of HSBC.

Pay

Your final fixed pay offer will depend on the candidate and several variables, including but not limited to, role responsibilities, skill set, depth of experience and education, licensing/certification requirements, internal relativity, and specific work location.

Schedule

Not specified.

Job ID / Requisition Number

Not specified.