QA & QC Manager

Job Purpose:

ADA is the leading data and artificial intelligence company that designs and executes integrated digital, analytics, and marketing solutions. With operations across Asia and a global outlook, ADA helps enterprises accelerate their digital transformation by unlocking the power of data. We serve top-tier brands across CPG, retail, telco, and BFSI sectors through innovative and scalable data-driven solutions.

Our data and AI solution relies on retrieving information from partner platforms such as TikTok, Shopee, Lazada, Amazon, and more, and storing this data into a unified data model. We offers a range of technologies and services that allow brands to simplify data collection and analysis in order to activate business cases that translate into more revenue. Our mission is to become the 1-stop technological interface to grow online sales in Asia and other regions.

As the QA & QC Manager, your primary responsibility will be to ensure the data we provide our clients is 100% accurate at all times by implementing and maintaining enterprise-grade quality control and automation processes. Your role is crucial in ensuring the integrity and accuracy of the data retrieved from various platforms. You will work in direct communication with the team of developers and be part of the team building the new version of the data platform. This gives you the opportunity to implement best practices and solutions from the very beginning.

Key responsibilities:

1. Quality Assurance: Designing, developing and executing the overall framework to ensure data accuracy of our platform: comprehensive test plans to identify and rectify any discrepancies or errors in the data. This includes both manual and automated testing procedures to ensure the highest standards of data quality.
2. Quality Control: Monitoring and verifying the data on an ongoing basis to ensure it meets the required standards. This involves regular audits and reviews to detect and address any issues promptly.
3. Automation: Implementing automation tools and scripts to streamline the data retrieval and validation processes. This will help in reducing manual efforts and increasing efficiency.
4. Collaboration: Working closely with the developer team to provide feedback and insights on data quality issues. You will also collaborate with other stakeholders to understand their data requirements and ensure that the data provided meets their needs.
5. Documentation: Maintaining detailed documentation of the quality control processes, test plans, and any issues encountered. This will help in ensuring transparency and accountability in the data management process.

Qualifications:

• Minimum Bachelors degree in Business, Technology, or a related field.
• MBA or postgraduate certification in analytics or digital transformation is a plus.

Experience:

• 5-10 years of experience in manual and automated Quality Control, preferably within a SaaS, consulting or data environment.
• Experience managing a team of 3-4 people
• Demonstrated successful implementation of fully automated tests pipelines.
• Experience with PostgreSQL, SQL
• Experience with Airflow DAGs, python scripts is a plusExperience reading Software and enhancing software Logs is a plus
• Experience as a Software Engineer is a plus

Technical Competencies/Skills:

• Automation: Knowledge of scripting languages such as Python, or Bash for automating QA processes.
• Database Management: Understanding of database management systems and the ability to write and execute complex queries.
• Testing Frameworks: Familiarity with testing frameworks like pyTest, GitHub Workflow, or similar for automated testing is a plus.

Behavioural Competencies/Skills:

• Proactive, solutions-driven, and resilient in the face of challenges.
• Collaborative and team-oriented, with a bias toward action.
• Detail-oriented, structured, and persistent in following through.
• Comfortable managing ambiguity and a fast-paced, high-growth environment.
• High attention to detail and commitment to data accuracy.

Quick Description of the person to hire:

Were looking for a QA & QC Manager with 510 years of experience in data quality assurance and control, ideally within SaaS, consulting, or data-driven environments. The ideal candidate has a strong background in manual and automated testing and has successfully led a team of 14 people while implementing automated test pipelines from scratch.

They should be proficient in SQL (especially PostgreSQL), and comfortable working with Python scriptsand software logs. Experience as a Software Engineer is a strong plus.

Were seeking someone who is proactive, detail-oriented, and collaborative, with a passion for building robust data platforms. They should have a track record of working closely with developers and stakeholders to ensure data accuracy and reliability.

Ideal LinkedIn profiles might include titles like:

QA Lead / QA Manager in a data or analytics company

Data Quality Manager in a SaaS or e-commerce platform

Automation QA Engineer with leadership experience

Senior Software Engineer transitioning into QA leadership

Companies of interest could include:

Data analytics firms

E-commerce platforms (e.g., Shopee, Lazada, Amazon)

SaaS providers with strong data pipelines

Tech consultancy focused on digital transformation

If you are interested in this position or just chat with us to know more about the company, kindly reach out to: [Confidential Information] or(+84) 357 453 241(Phone, Whatsapp).