About the team/ role:

Robinhood is looking for a privacy professional who is passionate about preserving the privacy of sensitive customer and employee data.

This role will work with teams across Robinhood to ensure our products and services adhere to privacy preserving principles by designing architectures, tools, and features that make Robinhood’s data collection, storage and processing safe and secure throughout the data lifecycle.

You will be the technical advocate for data privacy recommendations, designs, and discussions. You will not only design and operate various privacy preserving processes and controls, but will have a hands-on responsibility for responding to privacy-related events, giving you an opportunity to guide improvements for the future.

What you’ll do day-to-day:

• Design, implement, perform, and measure efficacy of privacy preserving processes and controls related to data subject rights, access management, and data deletion
• Leverage existing tooling and solutions to design alerting and facilitate downstream routing / investigative and escalation workflows related to findings, incidents, and potential non-compliance 
• Partner with Data Privacy and Security Architects to perform impact assessments against new products and features to ensure our data collection, storage, and processing practices adhere to internal policies and minimize risk 
• Partner with, and act as a bridge between, technical and non-technical teams, including Engineering, Product, Compliance, and Legal to ensure privacy requirements are well understood and implemented
• Advocate for data governance, privacy, and security solutions and identify innovative opportunities to advance our posture 

About you:

• B.S. or M.S. Computer Science or related field, or equivalent experience
• 2+ years of work experience in a related field
• Proven project management skills and the ability to take initiative and see projects through to completion on deadline
• Experience building relationships and influencing stakeholders across multiple disciplines
• Experience in privacy principles or technologies: data discovery, tagging, classification, and inventory; data obfuscation techniques (encryption, pseudonymization, tokenization); and data anonymization.
• Experience with concepts and practices such as threat modeling, data anonymization and classification, auditing access to data, and review of requests for data access