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 AVP AI Solutions Management, you will be responsible for...
- Supporting the AI use-case intake process, gather requirements, and rapidly assessing strategic fit, value, complexity, and feasibility.
- Maintaining an AI use-case/solution inventory; identifying duplication and promoting reuse of existing platforms and components.
- Evaluating alignment to the company's AI strategy, enterprise architecture, data strategy, and target operating model.
- Helping establish guidelines for build/buy/hybrid and creating recommendation artifacts for leadership and governance bodies.
- Assessing candidate architectures across cloud services, data platforms, model choices (LLMs, classical ML, CV, NLP), and integration patterns.
- Comparing third-party SaaS/managed services with in-house custom builds and hybrids; estimate TCO, scalability, maintainability, and time-to-value.
- Supporting vendor evaluations and small proof-of-concept efforts, reviewing items like security practices, data handling, SLAs, integration needs, and roadmap alignment.
- Partnering with Procurement/Vendor Management on contracting, licensing, data processing, and exit strategies.
- Partnering with Engineering, Data Science, and DevOps/MLOps to scope pilots and define success metrics and guardrails.
- Ensuring handoffs include documentation, controls, and operational readiness
- Developing playbooks, patterns, and templates to support AI solution reviews, and help enable business and tech teams through training sessions and office hours..
- Tracking portfolio outcomes (benefits, risk findings, reuse rate) and continuously improve intake and evaluation processes.
What you already have...
- Software engineering and cloud architecture knowledge across AWS/Azure; APIs; event/microservices; observability.
- Good understanding of AI/ML and LLM stacks (vector databases, embeddings, RAG, prompt engineering, guardrails).
- Understanding of privacy/security controls in financial services (data classification, encryption, DLP, IAM, segmentation) and third-party risk.
- Proven ability to translate business objectives into technical evaluation criteria and clear decisions.
- Excellent written and verbal communication for executive-level summaries and deep-dive technical reviews.
- Critical thinker with structured problem-solving and sound judgment
