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Job Description
- Define and execute enterprise data strategy, including data governance, architecture, and the development of a trusted single source of truth across customer, product, portfolio, and risk data domains.
- Lead advanced analytics and management reporting to generate actionable insights for revenue growth, portfolio optimization, client segmentation, and risk management.
- Drive AI adoption across CIB by defining the roadmap, prioritizing high-impact use cases, and embedding scalable analytics and AI capabilities into business processes.
- Deliver market intelligence and strategic insights through sector, client, and macro analysis to support business planning and competitive positioning.
- Partner with senior stakeholders across business, risk, finance, and technology to align data initiatives with business objectives and translate insights into measurable outcomes.
Qualifications:
- Bachelor’s or Master’s degree in Data Analytics, Statistics, Finance, Economics, Engineering, or related fields.
- Minimum 10–15 years of relevant experience in wholesale banking, Corporate Banking analytics, strategy, risk, data management, or related leadership roles
- Proven experience in leading enterprise data, analytics, or AI transformation initiatives with measurable business impact.
- Strong technical understanding of data architecture, analytics tools (e.g., SQL, Python, BI tools), and AI/ML applications in a financial services environment.
- Strong leadership, strategic thinking, and stakeholder management skills, with the ability to influence senior executives and drive cross-functional collaboration.
We're committed to bringing passion and customer focus to the business.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.
