Privacy Data Analyst,Evidencing and Monitoring Job Menlo Park area,California USA,IT/Tech

Summary:

The Product Risk Program Manager, Evidencing and Monitoring will join the Assessor Engagement team within the Product Risk Program Manager organization. This role is responsible for coordinating and providing evidence for Privacy Review Safeguards, owning Key Control Indicator (KCI) creation, maintenance, and monitoring, and ensuring data quality and reproducibility across all compliance artifacts. The Product Risk Program Manager, Evidencing and Monitoring will provide embedded technical context and continuity to navigate challenges including historical gaps, data deprecations, and high request volumes.

They will build and maintain complex data pipelines and queries (Presto/Hive) to support external regulatory requests, produce reproducible evidence packages, and defend data methodologies during regulatory engagements. This role bridges the gap between engineering and compliance, requiring both technical depth (SQL, Python, Hack) and the ability to communicate findings clearly to external regulators and internal stakeholders including product, engineering, legal, and risk subject matter experts.

Additionally, this role is responsible for conducting various audit types, assessing risk determinations for accuracy, including ensuring that approved privacy decisions include all relevant risks and related mitigations. The ideal candidate will have experience with compliance programs and auditing processes and be able to navigate ambiguity by defining priorities, clarifying requirements, and driving progress with incomplete information.

Required Skills:

Privacy Data Analyst, Evidencing and Monitoring Responsibilities:

Own the data model understanding end-to-end

identify and recommend reporting remediation or schema changes when compliance processes shift

Establish expertise across a system that's focused on reviewing and mitigating product risks

Establish risk expertise across multiple areas including privacy and integrity

Identify gaps in risk assessments and determinations made by product stakeholders

Monitor KCIs to ensure system effectiveness and drive incremental improvement of associated controls

Investigate KCI breaches, attest to results, and meet alert SLOs

Supply KCI history for evidence packages when requested by regulators

Ensure a complete and comprehensive representation of Meta's compliance framework to both internal and external stakeholders as needed

Build and execute complex Presto/Hive population queries for regulator requests (population requests, sample requests, information requests, follow-ups)

Respond to regulatory queries and partner with compliance partners and other stakeholders to develop and/or respond to gap analysis language, respond to regulator evidence requests by producing correct, reproducible artifacts with proof anyone can audit

Create runnable Bento notebooks that reviewers can independently execute to verify results

Create high quality action plan documentation to address compliance gaps where needed

Explain and rationalize compliance and risk decisions to external stakeholders including auditors and regulators

Track and provide any needed documentation that stems from remediation workflows

Provide feedback to tooling and platform stakeholders aimed at improving the accuracy and efficiency of the system's outcomes

Explain and defend data methodologies to regulators as needed

Minimum Qualifications:

4+ years of experience with regulatory/compliance/audit exposure in an analytical role

Familiarity with SQL, scripting languages (e.g., Python), and AI for compliance

Demonstrated analytical thinking and problem-solving experience

Able to explain and create code and objects as needed (e.g., Python) for evidence and tooling

Ability to work cross-functionally between engineering and various POC teams

Detail-oriented, conscientious focus for data quality and privacy processes

Experience communicating cross-functionally, particularly in the area of consensus-building and persuasion

Ability to work with tight, inflexible regulator deadlines

Flexibility to respond and change quickly to vague, uncertain, frequently changing requests

Regulator mindset and the ability to see from the perspective of the requestor

Preferred Qualifications:

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy…