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Senior Privacy Analyst

Lyft

CAonsite$99k-$124k/yrPosted Mar 4, 2026

At a glance

Highlights

  • Hybrid schedule
  • Comprehensive benefits
  • Inclusive culture
  • Professional growth opportunities

Heads up

  • Requires in-office presence 3 days per week
  • Limited remote weeks per year
  • AI screening may be used

Why this role might suit you

The position enables shaping privacy strategy at a major transportation company, conducting high‑impact privacy risk assessments, and influencing engineering practices within a hybrid work model, while offering comprehensive employee benefits and a collaborative environment.

Skills

privacy-risk-assessmentthreat-modelingrisk-mitigationanonymizationencryptiondifferential-privacyprivacy-regulationsprivacy-programprivacy-infrastructureautomationpolicy-developmentprivacy-enhancing-technologiesprivacy-toolingprogramming-languagespythongojavac++iapp-certificationstechnical-negotiation

About the role

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Lyft connects people to transportation to change the way we live and get around our communities. Lyft’s engineering team is growing rapidly, and we are looking for Technical Program Managers to help us scale. Come be part of a new team at Lyft focused on enabling and empowering engineering teams to deliver at scale.

Our drivers and passengers entrust Lyft with their personal information and travel details to get where they are going and expect us to keep that data safe. Lyft’s Privacy team is comprised of engineers and analysts dedicated to ensuring that appropriate data protections are applied at all times. We conduct privacy risk assessments, consult with organizational stakeholders, maintain Lyft’s privacy program, develop privacy policies, and advise on all matters related to privacy.

As a member of the Privacy team you will help ensure that privacy is built into our products by design. Every day, you’ll meet and work with stakeholders across the company working on exciting new projects, help de-risk their product development, conduct privacy risk assessments, and serve as a trusted privacy adviser to teams across Lyft.

Responsibilities:

Conduct privacy risk assessments of new and existing Lyft products, services, and processes

Build strong cross-functional relationships with product and engineering teams and advise them on complex data privacy-related issues

Analyze system designs and data flows to identify and mitigate potential privacy vulnerabilities

Identify trends in privacy and regulatory requirements and compliance enforcement and drive necessary changes in Lyft’s data privacy program

Communicate risk to both technical and non-technical stakeholders across the business and negotiate risk mitigation strategies

Proactively drive development of privacy infrastructure, technical controls, and automation to make it easy for teams to achieve privacy excellence

Develop and maintain internal privacy policies, guidelines, and best practices for Lyft

Experience:

Deep knowledge of a broad range of privacy concepts and demonstrated ability to apply them to real-world situations

Experience conducting privacy risk assessments, threat modeling, and risk mitigation

Experience with technical privacy concepts (e.g., anonymization, encryption, differential privacy)

Experience with privacy regulations (e.g., CCPA, GDPR, PIPEDA)

Strong technical background and ability to negotiate effectively with engineering teams

Strong cross-functional communication and leadership skills, with the ability to initiate and drive projects proactively

Strong teamwork and collaboration skills

Strong written and verbal communication skills

Ability to own and manage multiple tasks and high priority projects

Experience with Privacy Enhancing Technologies and development and/or deployment of privacy tooling a plus

Code development, review, and maintenance experience in one or more programming languages (e.g., Python, Go, Java, C++) a plus

IAPP privacy certifications (e.g., CIPP, CIPM, CIPT) a plus

Benefits:

Extended health and dental coverage options, along with life insurance and disability benefits

Mental health benefits

Family building benefits

Child care and pet benefits

Access to a Lyft funded Health Care Savings Account

RRSP plan with company match to help save for your future

In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service

Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.

Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

Compensation

This Analytics Engineer role pays $99k-$124k/yr. Within typical range for analytics engineer roles in Canada.

Questions about this role

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