Prudential plc

Assistant Manager, Operation Strategy & AI Enablement (AI Engineer)

Prudential plc  •  Hong Kong, HK (Onsite)  •  7 days ago
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Job Description

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

Job Responsibilities:

  • Strategic Planning: Support formulation of operational strategies aligned with corporate objectives and emerging AI capabilities.
  • AI Enablement: Evaluate, select, and deploy AI solutions that materially enhance efficiency, forecasting accuracy, and automation maturity; Lead end‑to‑end AI product lifecycle—from ideation and scoping to rollout, refinement, and scaling.
  • Process Optimisation: Design and execute continuous improvement initiatives using Lean, Six Sigma, and AI-driven methodologies.
  • Performance Monitoring: Develop KPIs and dashboards to track operational impact and ROI of AI initiatives
  • Data Analytics: Leverage LLM and advanced analytics to generate actionable insights, optimise workflows, and inform executive decision-making.
  • Stakeholder Engagement: Collaborate with cross-functional teams to ensure seamless integration of AI solutions into operational frameworks.
  • Governance & Compliance: Maintain adherence to data privacy, ethical AI standards, and regulatory requirements in all deployments.
  • Change Management: Drive adoption of AI-enabled processes through structured communication and training programmes.

Job Requirements:

  • Bachelor's degree in Computer Science, Engineering, Data Science or related quantitative field. Master's degree preferred.
  • Minimum 4 years of progressive experience in AI implementation, or operations optimization within financial services. Proven track record of deploying machine learning solutions and workflow automation in regulated environments.
  • Solid experience with AI/ML, LLM and other Gen-AI models
  • Knowledge of API integration and workflow automation tools
  • Proficiency in data analytics tools (Python, R, SQL, Tableau/Power BI)
  • Familiarity with cloud platforms and data governance frameworks
  • Financial Industry operations and customer lifecycle management
  • Understanding of Hong Kong regulatory requirements (PDPO, insurance regulations)
  • Experience with customer touchpoint optimization and conversion analytics

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

Prudential plc

About Prudential plc

We are Prudential.

For Every Life, For Every Future.

Prudential provides life and health insurance and asset management in Greater China, ASEAN, India and Africa. Prudential’s mission is to be the most trusted partner and protector for this generation and generations to come, by providing simple and accessible financial and health solutions.

We are headquartered in Hong Kong and have dual primary listings on the Stock Exchange of Hong Kong and the London Stock Exchange.

Visit our websites for more information:

Prudential plc: https://www.prudentialplc.com/

Prudence Foundation: https://www.prudentialplc.com/en/prudence-foundation

Industry
Finance & Insurance
Company Size
10,000+ employees
Headquarters
Central, HK
Year Founded
Unknown
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