Associate Director – CIB Business Risk – AI Governance Lead – AI Governance

Job Description

Associate Director – CIB Business Risk – AI Governance Lead | HSBC

The Tone:
This is a full-time role at HSBC, located in India (Karnataka). HSBC is a leading global bank that provides a range of financial services, including corporate and institutional banking. This position is crucial for ensuring the responsible and safe adoption of Artificial Intelligence within its Corporate and Institutional Banking division, mitigating risks, and maintaining sustainable practices across its global operations.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: In-person, India (Karnataka)

• Team: Risk Capability Office
• Mission: Lead and shape global AI governance and risk reviews for Corporate and Institutional Banking.

What You’ll Actually Do
• Lead: Lead the CIB AI governance agenda for all CIB globally, ensuring consistent standards and controls across regions.
• Define: Define and maintain governance processes for all CIB AI use cases, covering intake, risk assessment, approvals, oversight, monitoring, issues, and lessons learned.
• Provide: Provide advisory to use cases on how to meet requirements throughout their lifecycle and navigate established governance processes and systems.
• Challenge: Provide credible challenge and risk advice to senior stakeholders on AI initiatives, addressing key risks such as data quality, privacy, security, and customer impact.
• Partner: Partner with Technology, Data, Compliance, Legal, and Operations to embed responsible AI practices into delivery and operational processes.

The Must-Haves
• Background: Degree-level education (or equivalent experience) in a relevant discipline such as risk, technology, data, engineering, or mathematics, with proven experience in technology risk governance, business risk management, or operational resilience governance and running senior governance initiatives.
• Experience: Strong programme and stakeholder management skills, with demonstrated ability to influence senior stakeholders and deliver outcomes across multiple teams, geographies, and priorities.
• Skills: Strong understanding of AI/ML concepts and common risk themes, excellent communication skills (written and verbal) to translate complex technical topics into clear business and risk decisions, and sound judgment with high integrity.
• Bonus: Experience implementing or operating AI governance frameworks, familiarity with model risk management and validation, knowledge of data governance, privacy, information security, and third-party risk as they relate to AI, exposure to regulatory expectations, relevant certifications (PMP, PRINCE2, Agile, AI Governance, Cloud), and experience in global, matrixed organizations.