Group Head of Ai Execution

2 weeks ago

London, United Kingdom HSBC Full time

-Job description

**Some careers grow faster than others.**

If you’re looking for further opportunities to develop your career, take the next step in fulfilling your potential right here at HSBC.

HSBC Digital Business Services is a pivotal part of the Group, providing essential operational and technical support to our global businesses and helping improve customer service and efficiency. Digital Business Services combines global expertise and technology to help keep us ahead of the competition.

We are currently seeking a high caliber professional to join our team as **Group Head of AI Execution.**

Role purpose

HSBC is seeking a visionary and dynamic leader to join our team as the Group Head of AI Execution. This senior executive role will be responsible for
- Establishing and governing group-wide AI/GAI principles and standards across product development cycle
- Coordinating external AI engagement and promoting AI (via events, speaking, academia etc) within the industry
- Engaging with key regulators to form industry-wide consensus on AI evolution,
- Enabling the bank internally by developing internal AI learning opportunities,
- Partnering with the Global Businesses and Functions, to ensure we deliver AI use cases at pace and scale.
- Partner with risk leads to ensure all enterprise risks, including non-financial risks, regulatory compliance and financial crime risk are captured, understood, and clearly communicated.
- Manage partnerships and external ecosystems to leverage tools, techniques, and propositions, and augment our AI and technology agenda.

The role holder will play a critical role in shaping the future of HSBC and driving the adoption of AI/GAI across the organization. If you are a visionary leader with a passion for innovation and a deep understanding of the financial services industry, we invite you to join us on this exciting journey.

Principal Accountabilities and Responsibilities
- Develop and implement the Group Strategy on AI ensuring alignment with the organization's vision and strategic objectives.
- Evangelize AI internally and externally, promote AI within the industry, including key regulators.
- Governance: ensuring that a set of standards and frameworks are in place that will help establish, reinforce, and govern Group-wide AI/GAI principles and standards across the full 3-stage product and capability development cycle: Ideation/Innovation, Proof of Concept, and Scaling.
- Create visibility and structure to understand the footprint of AI across the bank.
- Provide guidance and support to establish AI/GAI Model Framework working with Group Head of AI Research & Development
- Empower the HSBC workforce by partnering with Learning and Development team which will enable bank-wide upskilling in concepts such as Gen-AI, ML, LLM etc.
- Establish and be responsible for a set of strategic, integrated, and balanced AI/GAI Objectives & Key Results spanning four categories: 1) Customer/Colleague, 2) Financial, 3) Technology/Operations, and 4) Risk.
- Industry Thought Leadership: represent the bank in industry forums, conferences, and events, sharing insights and best practices related to AI in banking

Leadership & Teamwork
- Lead and manage the AI/GAI Strategy, and AI/GAI Communities of Practice.
- Represent the AI strategy and enablement at the HSBC Group AI/GAI Committee, ensuring adherence to standards, principles, and ethical/responsible use.
- Develop and maintain world-class University & Industry partnerships to drive innovation and collaboration.
Requirements

Functional Knowledge
- Business Acumen: The ability to understand both digital products and regulated industry so can bridge and move between where we are and where HSBC aspires to be.
- In-depth knowledge and understanding of Artificial Intelligence (AI) and Machine Learning (ML) technologies, including various algorithms, neural networks, deep learning, natural language processing (NLP) etc.
- Familiarity with Big Data Technologies and distributed computing frameworks to leverage these technologies for processing and analyzing large datasets.
- Knowledge of cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) to deploy and manage AI models on the cloud for scalability and cost-efficiency.
- Awareness of Cybersecurity and Data Privacy threats, and the ability to implement robust security measures to protect sensitive financial data and AI systems.
- Understanding the legal and regulatory requirements applicable to the financial services industry, such as GDPR, Data Sharing, CCPA, or specific financial regulations

Others
- Trusted and respected across HSBC with a proven record of success in senior leadership roles.
- Highly proficient in Retail & Wholesale Banking, with a deep understanding of the financial services industry.
- Demonstrated expertise in the successful development and implementation of AI/GAI products and capabilities.
- Comfortable interacting with a broad ran

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