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About WhiteCrow
We are global talent research, insight, and sourcing specialists with offices in the UK, USA, Singapore, Malaysia, Hong Kong, Dubai, and India. Our international reach has helped us to understand and penetrate specialist markets at a global level. In addition to this, our service is also extended to complement our client's in-house talent acquisition teams.
About our client
Our client operates in the consumer financial services space, focusing on making everyday purchases and essential needs more accessible through flexible financing solutions. They support individuals across their financial journey—from obtaining their first line of credit to managing long-term financial flexibility—by enabling more informed and responsible credit decisions.
Our client has built a vast network that connects consumers with a wide range of small and mid-sized businesses, as well as providers in the health and wellness sector. Through this ecosystem, they play a meaningful role in supporting both customer financial well-being and the growth of businesses that form a critical part of the broader economy.
As a VP, AI Automation, you will be responsible for...
What you already have...
Job ID: 147468549
Skills:
vulnerability research , Distributed Systems, Penetration Testing, Api Integration, execution control, LLMs, agent-based automation, AI-driven systems, offensive security, agent orchestration, task planning
Skills:
vulnerability research , Distributed Systems, Penetration Testing, Api Integration, execution control, LLMs, agent-based automation, AI-driven systems, offensive security, agent orchestration, task planning
Skills:
Data Analytics, Information Security, Operating Systems, Encryption, Database Technologies, Data Privacy, Cism, Cisa, Gen AI, cloud auditing, Cpa, Cissp, CRISC, CIA, data center controls
Skills:
Enterprise Architecture, Business case creation KPI tracking and executive reporting, AI ML strategy and roadmap ownership, Cloud ecosystems, Production-grade model deployment and lifecycle management, AI ML technologies, Data-driven product leadership, Governance frameworks for responsible AI and data usage, Responsible AI compliance and governance, Cross-functional leadership across product engineering legal and operations
Skills:
Cism, Compliance, Cpa, Cissp, Cisa, Technology Audit, CIA, CRISC, Risk Management
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