Associate director, Data Analytics and AI

ACCA Careers; Hong Kong; On-site; HKD 1,200,000 - 2,100,000; Full time

Job summary

ACCA Careers partners with a leading multinational insurance organisation investing in data, analytics, and AI to shape customer experience and digital products. You will define what data to capture across web, mobile, CRM, policy systems, and campaigns, and specify events, attributes, and context for downstream analytics.

You’ll own the event taxonomy and data collection standards, guide IT and engineering for instrumentation, and build an AI roadmap to improve productivity and scalability.

Qualifications

• University degree, preferably in computer science, data science, analytics, or related discipline.
• Minimum 10 years of experience in advanced analytics, product or platform development, customer or marketing analytics, or related roles within large, complex organisations.
• Proficiency in AI tools and demonstrated ability to pioneer practical AI applications across business scenarios.
• Strong experience leading or orchestrating large-scale, cross-functional initiatives, with proven ability to provide thought leadership on customer journeys and support strategy definition.
• Strong business acumen with strategic, analytical thinking to translate insights into pragmatic execution frameworks.
• Strong communication, influencing, and stakeholder management skills, with comfort operating without direct authority.
• High integrity, sound judgement, and strong risk awareness, balancing governance with agility.

Responsibilities

• Define data needs across digital and customer touchpoints and specify events, attributes, and context for downstream analytics.
• Own the event taxonomy and data collection standards; document requirements for IT and engineering instrumentation.
• Define how AI can support campaign design, reporting, and analytics automation.
• Build and maintain a roadmap for AI adoption across priority business areas; introduce AI-enabled ways of working.
• Partner with business teams to upskill users in AI capabilities and deliver practical use cases.

Skills

AI tools proficiency

Cross-functional leadership

Stakeholder management

Analytical thinking

Communication skills

Education

University degree (CS/Data analytics)

Job description

Your new company

Your new company is a leading multinational insurance organisation that is investing heavily in innovation, digital transformation, and emerging technologies to shape the future of customer experience, digital products, and business growth.

Your new role

• Define what data needs to be captured across each digital and customer touchpoint (web, mobile, CRM, policy systems, campaign channels) and specify the precise events, attributes, and context required for downstream analytics
• Own the event taxonomy and data collection standards; document business requirements in structured data specifications and hand these to IT and engineering teams for instrumentation
• Define how AI can support: campaign design & execution; reporting & analytics automation; social media content generation.
• Build and maintain a roadmap for AI adoption across priority business areas. Introduce new ways of working enabled by AI to improve productivity, scalability, and quality of delivery.
• Partner with business teams to upskill users in AI capabilities and deliver practical use cases, including campaigns, rewards, and engagement journeys.

What you'll need to succeed

• University degree, preferably in computer science, data science, analytics, or a related discipline.
• Minimum 10 years of experience in advanced analytics, product or platform development, customer or marketing analytics, or related roles within large, complex organisations
• Proficiency in AI tools, with demonstrated ability to pioneer practical AI applications across different business scenarios.
• Strong experience leading or orchestrating large‑scale, cross‑functional initiatives, with proven ability to provide thought leadership on customer journeys and support the definition of customer or functional strategies.
• Strong business acumen, with demonstrated strategic, critical, and analytical thinking to structure complex issues and translate insights into pragmatic execution frameworks.
• Strong communication, influencing, and stakeholder management skills, with comfort operating without direct authority.
• High integrity, sound judgement, and strong risk awareness, balancing governance requirements with business agility.