Quality Engineer

1.1.1 Overview:

We are seeking a Data Quality Engineer to help ensure the quality, reliability, and performance Health Data products to provide ready-to-use, easily consumable, trusted data set to support the AI and analytics use cases required to drive Manulife’s Health business ambition. This role is critical in enabling business units to innovate faster, optimize operations, and deliver localized analytics and AI capabilities. The successful candidate will participate in regional health strategic initiatives such as Provider Management Solutions, Health KPIs and Claim Driver analyses/automation, and other Regional/Local Health Analytics/AI use cases that require a common health data model.

As part of ADO, you will have the opportunity to:

Contribute to regional health data initiatives impacting regional and local health businesses

Collaborate with data scientists, AI teams, and business leaders in a dynamic, forward-thinking environment.

Drive innovation and shape the future of health data products within the organization, to enable cutting-edge analytics/AI use cases including Generative AI (GenAI), Large Language Models (LLMs), Agentic AI, and advanced solutions leveraging OpenAI GPT models and AliCloud Qwen models.

1.1.2 Key Responsibilities:

1.1.2.1 Quality Engineering

· Support the QA strategy and execution plan to ensure the accuracy, completeness, consistency, timeliness, and reliability of health data products relating to provider networks, claims efficiency, and care quality within our health insurance businesses and provide insights to support contract/negotiation strategy, network optimization, medical cost management, and fraud, waste, abuse identifications

Collaborate with cross-functional teams including data engineers, data analysts, product owners, and business stakeholders to resolve quality issues.

Conduct peer reviews of code and deliverables to promote continuous learning.

Control, update, and distribute new and revised quality standards and technical changes.

Ensure compliance with internal and external quality standards and company SDLC standards.

Stay current with frontend and backend technologies and trends.

Continuously improve skills to address diverse application challenges, including cloud-based development.

1.1.2.2 Testing Execution & Automation
· Develop, execute, and maintain manual and automated test cases for data pipelines, APIs, reports, dashboards, and analytical datasets.

· Validate source-to-target mappings, data transformations, business rules, calculations, and reconciliations to ensure data accuracy and consistency.

· Build and enhance automated testing frameworks and scripts to support CI/CD and continuous testing practices.

· Prepare and manage test data, analyze test results, investigate defects, and partner with delivery teams to resolve issues.

· Perform integration, regression, end-to-end, performance, and data quality testing to ensure reliable delivery of data products and analytics solutions.
1.1.2.3 Quality Governance & Process Improvement
· Define, monitor, and report key quality metrics, including data accuracy, completeness, defect trends, and test coverage.

· Support quality audits, governance reviews, and compliance activities to ensure adherence to established standards and controls.

· Develop quality dashboards and reporting to provide visibility into data quality performance and testing effectiveness.

· Drive adoption of quality-by-design principles, testing best practices, and automation across the data and AI delivery lifecycle.

· Identify opportunities to improve testing efficiency, data quality, and delivery outcomes through continuous process improvement.

1.1.3 Qualifications & Skills:

Education: Bachelor’s or Master’s degree preferably in Statistics, Mathematics, Computer Science, Business Analysis or Data Analytics related courses

Experience:

3-5 years in one or more of the following

Data Quality Engineer

Data Analyst

Data Engineer

BI Analyst

BI Engineer

Business Analyst for Data related projects

Technical Expertise:

o Proficient in Data Manipulation, Data Analysis, Data Warehousing, Data Mining & Extraction, Data Visualization, and ETL processes

o Proficiency in tools such as Power BI, SQL, Python, R, Spark, and Excel for data querying, manipulation and analysis

o Experience with big data tools such as ADLS, Data Factory, DataBricks, etc

o Ability to interpret and translate terminology between technical and business users

o Collaborate with geographically and culturally diverse teams across various regions.

o Self-sufficient and self-motivated

o Strong analytical and problem-solving skills

o Proficient written and oral communication skills in the English language

Soft Skills:

Excellent communication, and stakeholder management skills.

o Project management experience is an advantage.

o Experience in working on Agile projects is an advantage.

o Understanding of the insurance and/or financial industry is an asset

When you join our team:

We’ll empower you to learn and grow the career you want.

We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

As part of our global team, we’ll support you in shaping the future you want to see.

宏利金融有限公司是全球领先的金融服务提供商，致力于帮助大众轻松作出明智抉择，实现精彩人生。如欲了解更多关于我们的信息，请访问人寿保险-养老保险-健康保险-中宏保险官网 (manulife-sinochem.com).

宏利是平等機會僱主

在宏利／恒康，我們擁抱多元。我們致力於吸引、培養及挽留和所服務客戶同樣多元的員工，並從而營造包容的工作環境，接納文化和個體差異。我們矢志維持公平的招聘、挽留、晉升及薪酬制度，我們管理的所有實踐及項目不會因種族、血統、原籍地、膚色、族裔、國籍、宗教或宗教信仰、信仰、性別（包括懷孕及其相關情況）、性取向、遺傳特徵、退伍軍人身份、性別認同、性別表達、年齡、婚姻狀況、家庭狀況、殘疾或受適用法律保護的任何其他因素而區別對待。

我們的首要任務是消除障礙，為員工提供平等就業機會。人力資源部代表將盡力為應徵過程中提出要求的申請人提供合理協助。申請人要求提供協助所分享的信息將會按照適用法律及宏利／恒康政策儲存及使用。應徵過程中如需協助，請聯絡 hr@manulife.com。

Working Arrangement

混合办公