Reflection AI

1 month ago

Data Governance Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Lead and operationalize data governance, privacy, and compliance for all training data and models. Own DPIAs, data lineage, licensing, and regulator-ready evidence; collaborate with Legal, Security, Research, and Engineering to ensure EU AI Act, GDPR, and CPRA compliance while enabling auditable, regulator-grade data provenance.

Location: New York, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Manager level

Key Responsibilities

•Produce audit-ready data provenance records and training-data summaries for every production model — documenting origin, transformations, labeler provenance, and data quality so we can satisfy auditors, enterprise customers, and regulators on demand.
•Own Data Protection Impact Assessments (DPIAs) end-to-end: drive them to completion with Legal, and publish DPIA outputs alongside model documentation to meet EU AI Act and GDPR expectations.
•Enforce prohibited-source and license controls at data intake — preventing risky or non-compliant data from ever reaching a training run — and maintain a verified provenance and approval log for all vendor datasets.
•Keep the company DSAR-ready by producing lineage reports that map model outputs back to source data and subject controls, enabling timely and accurate responses to data subject requests.
•Assemble and maintain defensible evidence bundles — data manifests, DPIAs, consent and license records — into the enterprise evidence store so that audits and customer security reviews are straightforward and fast.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability Insurance

Key Requirements

•5+ years in data governance, data privacy, or a closely related discipline at a technology company handling large-scale or sensitive datasets.
•Hands-on experience conducting and owning DPIAs, privacy assessments, and data protection documentation, ideally reviewed by external auditors or regulators.
•Deep knowledge of GDPR, CCPA/CPRA, and the EU AI Act, with ability to translate regulatory requirements into concrete policies and controls.
•Experience with training data provenance, dataset licensing, and consent management in an ML/AI context, understanding why data lineage matters for accountability.
•Familiarity with compliance-as-code approaches: automated data validation gates, policy-enforcement pipelines, or pre-deployment checks tied to data quality and metadata.

Experience:Data governancePrivacyAi/MLRegulatory compliance

Skills:AWSGCPAzureBigQuerySnowflakeData catalogData lineageDPIAGDPRCCPAEU AI Act

Certifications:CDMPCIPP/E

Languages:English

Tech Stack:AWSGCPAzureBigQuerySnowflakeData catalogData lineageRegulatory tooling

Company Brief

Reflection AI

Builds frontier autonomous AI systems focused on autonomous coding agents (product: Asimov) to create organizational superintelligence, founded by former DeepMind/Google researchers and hiring across SF, NYC, London.

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Founded: 2024

Website LinkedIn Glassdoor

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Reflection AI

1 month ago

Data Governance Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: New York, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Manager level

Key Responsibilities

•Produce audit-ready data provenance records and training-data summaries for every production model — documenting origin, transformations, labeler provenance, and data quality so we can satisfy auditors, enterprise customers, and regulators on demand.
•Own Data Protection Impact Assessments (DPIAs) end-to-end: drive them to completion with Legal, and publish DPIA outputs alongside model documentation to meet EU AI Act and GDPR expectations.
•Enforce prohibited-source and license controls at data intake — preventing risky or non-compliant data from ever reaching a training run — and maintain a verified provenance and approval log for all vendor datasets.
•Keep the company DSAR-ready by producing lineage reports that map model outputs back to source data and subject controls, enabling timely and accurate responses to data subject requests.
•Assemble and maintain defensible evidence bundles — data manifests, DPIAs, consent and license records — into the enterprise evidence store so that audits and customer security reviews are straightforward and fast.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability Insurance

Key Requirements

•5+ years in data governance, data privacy, or a closely related discipline at a technology company handling large-scale or sensitive datasets.
•Hands-on experience conducting and owning DPIAs, privacy assessments, and data protection documentation, ideally reviewed by external auditors or regulators.
•Deep knowledge of GDPR, CCPA/CPRA, and the EU AI Act, with ability to translate regulatory requirements into concrete policies and controls.
•Experience with training data provenance, dataset licensing, and consent management in an ML/AI context, understanding why data lineage matters for accountability.
•Familiarity with compliance-as-code approaches: automated data validation gates, policy-enforcement pipelines, or pre-deployment checks tied to data quality and metadata.

Experience:Data governancePrivacyAi/MLRegulatory compliance

Skills:AWSGCPAzureBigQuerySnowflakeData catalogData lineageDPIAGDPRCCPAEU AI Act

Certifications:CDMPCIPP/E

Languages:English

Tech Stack:AWSGCPAzureBigQuerySnowflakeData catalogData lineageRegulatory tooling

Company Brief

Reflection AI

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Founded: 2024

Website LinkedIn Glassdoor