# Associate Director, Data and Analytics

**Company**: GCIO
**Location**: Guangzhou, Guangdong
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Finance

**Apply**: https://portal.careers.hsbc.com/careers/job/563774612526510?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b857064a-eea

## Description

We are currently seeking an experienced professional to join our team in the role of Associate Director, Data and Analytics.

Principal responsibilities:

- Own the end-to-end technical design and delivery of Decision Hub capabilities (eligibility, arbitration, offering services, monitoring, APIs, etc.).

- Champion and lead the adoption of AI-assisted development practices (e.g., GitHub Copilot, generative AI for code/test generation) to accelerate delivery, improve code quality, and foster a culture of innovation.

- Spearhead the integration of Generative AI, adaptive models, and other emerging AI technologies into the platform's core capabilities, moving beyond traditional ML models to create a truly intelligent system.

- Collaborate with Product, Solution Architecture, Data, and Security to ensure compliance with regulatory controls, data lineage, and auditability.

- Drive performance, scalability, and resilience design; validate via capacity/performance testing and production dry runs.

- Translate business requirements into extensible, maintainable technical solutions and reference designs for multi-market reuse.

- Lead technical design and code reviews, setting the standard for high-quality, efficient, and maintainable code.

- Hands-on implementation and troubleshooting; unblock teams during critical incidents and deployment windows.

- Coach and grow engineering capability; set engineering practices, quality metrics, and a high-performance culture.

Requirements:

- 8+ years in software engineering with 3+ years in technical lead or architect roles on distributed, real-time systems.

- Proven experience designing and delivering decisioning, orchestration, or real-time personalization platforms (or equivalent large-scale event/streaming systems).

- Strong cloud design and development experience (GCP preferred; AWS/Azure acceptable) and familiarity with multi-cloud/on-prem tradeoffs.

- Hands-on experience with the end-to-end machine learning lifecycle (MLOps), from model integration and deployment to performance monitoring and feedback loops.

- A strong passion for and practical experience with leveraging AI development tools (e.g., GitHub Copilot, CodeWhisperer) and embedding them into team workflows.

- Deep knowledge of performance engineering, capacity planning, fault tolerance, and observability (APM, metrics, tracing, alerting).

- Hands-on with modern engineering practices: microservices, APIs, CI/CD, infra as code, automated testing, security controls.

- Excellent stakeholder skills: ability to translate complex technical concepts for business partners and influence product and delivery decisions.

- Strong mentoring and team leadership track record.

## Skills

### Required
- AI-assisted development
- Generative AI
- Machine Learning
- Cloud design
- Microservices
- APIs
- CI/CD
- MLOps

### Nice to have
- GCP
- AWS
- Azure
- GitHub Copilot
- CodeWhisperer

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Source: [Apply at portal.careers.hsbc.com](https://portal.careers.hsbc.com/careers/job/563774612526510?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)