Senior Privacy Engineer

Get to know our Team:
The key mission of the Privacy Engineering team is to make Grab the trusted choice. We identify, analyze, evaluate, treat and monitor Privacy risk arising from internal projects, external procurement of product and services, also continually review partnerships and joint ventures.

The day-to-day activities:

• Analyze, design and program software enhancements for new data streams with a goal of developing technical solutions and systems to help mitigate privacy vulnerabilities and prevent potential future privacy risks

• Responsible for assisting with the management of the data privacy, data protection, data usability, performance and the integrity of the privacy solution.

• Acts as key interface to data science and analytics communities both within and outside of the organization

• Using current programming language and technologies, creates a solid design, writes code, completes programming, and performs testing and debugging of applications as well as completes documentation and procedures for installation and maintenance

• Guide the development of new privacy products and features

• Identify areas of improvement in local practices relative to managing data privacy

• Performs regular privacy assessments of operational processes, identifying, and mitigating risks across the company through effective tools, training and guidance

• Communicates program progress, escalations, and issue analysis to key stakeholders

The must haves:

• BS or MS degree in computer science, computer engineering, information systems, privacy engineering or related field of study

• 5 years' experience in privacy / data protection or a graduate degree or concentration in privacy engineering

• CISA / CISM / CIPM/ CIPT / CIPP certification

• Strong Project/Product management skills. 

• Excellent communication (verbal and written) and presentation skills and the ability to effectively communicate designs, proposals, and results; ability to influence without authority and negotiate options at management levels

• Excellent analytical and problem-solving skills

• Ability to balance risks in ambiguous and complex situations

• Demonstrated teamwork and collaboration skills, in particular in leading or contributing to global and multi-functional teams

• Highly motivated to contribute and grow within a complex area of emerging importance

• Experience or understanding of software applications design tools and languages

• Understanding of design for software applications running on multiple platforms

• Understanding of testing, coding and debugging procedures

• Demonstrated working knowledge of software engineering fundamentals

• Competent in the interpretation of numeric data, an understanding of statistical principles

• Data literacy: finding and managing data, cleansing data, manipulating data

• Ability to perform operations on large datasets