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Provenance Jobs (NOW HIRING)

Reflection AI, Inc

Data Governance Lead

New York, NY · On-site

Own dataset provenance, training-data summaries, DPIAs, and the privacy and compliance posture of Reflection AI's training and evaluation data - so that every model we ship has auditable, regulator ...

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$8

$26

$61

How much do provenance jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for provenance in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a provenance specialist, and why are they important?

To thrive as a Provenance Specialist, you need a solid background in art history, research methodologies, and often a relevant degree in art, history, or museum studies. Familiarity with collection management systems, digital archives, and provenance databases is typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for success in this role. These skills ensure the accurate tracing of an object's history, supporting authenticity, legal compliance, and institutional trust.

What is provenance in the context of jobs and why is it important?

Provenance, in a professional or industrial context, refers to the documentation of the origin, history, and ownership of an object, data, or product. It helps track how something was created, modified, and transferred over time. Understanding provenance is crucial for ensuring authenticity, quality control, regulatory compliance, and traceability, especially in fields like art, food production, supply chain management, and data science. Employers value professionals who can establish and verify provenance because it safeguards against fraud, maintains accountability, and supports transparency.

What is the difference between Provenance vs Data Analyst?

AspectProvenanceData Analyst
Required CredentialsKnowledge of data lineage, metadata management, and sometimes certifications in data managementDegree in statistics, mathematics, or related field; often certifications in data analysis tools
Work EnvironmentData management teams, IT departments, or data governance unitsBusiness intelligence teams, marketing, finance, or operations departments
Industry UsageUsed in data governance, data quality, and compliance contextsUsed across industries for data interpretation, reporting, and decision-making

Provenance focuses on tracking the origin and history of data, ensuring data integrity and compliance. Data Analysts interpret and analyze data to generate insights. While Provenance deals with data lineage and metadata, Data Analysts focus on data analysis and reporting. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What are some common challenges faced by professionals working in provenance research roles?

Professionals in provenance research often encounter challenges such as incomplete or missing historical records, language barriers in source documents, and the need to verify the authenticity of artifacts or artworks. Collaboration with curators, historians, legal experts, and sometimes law enforcement is essential to trace the history and ownership of items. Staying organized and detail-oriented is crucial, as even small discrepancies can impact the credibility of research findings. Those in this field should be prepared for meticulous investigative work and the need to adapt to evolving ethical and legal standards.
More about Provenance jobs
What cities are hiring for Provenance jobs? Cities with the most Provenance job openings:
What states have the most Provenance jobs? States with the most job openings for Provenance jobs include:
What job categories do people searching Provenance jobs look for? The top searched job categories for Provenance jobs are:
Provenance jobs near you
Infographic showing various Provenance job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Data Governance Lead

Reflection AI, Inc

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 12 days ago

Job description

Our Mission
Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
About this role
  • Own dataset provenance, training-data summaries, DPIAs, and the privacy and compliance posture of Reflection AI's training and evaluation data - so that every model we ship has auditable, regulator-grade evidence of its data lineage, licensing, privacy posture, and risk mitigations.

What You'll Do
  • 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.
  • Log data findings in the risk register, drive remediation with the relevant owners, and report residual risk to governance forums and senior leadership on a regular cadence.
  • Partner with Research, Engineering, Legal, and Security to establish data ownership structures, access controls, and stewardship practices across all training, evaluation, and internal data assets.
  • Champion a culture of data literacy and responsible data use - building runbooks, intake checklists, and guidelines that help teams make confident, compliant decisions without bottlenecking on you

What We're Looking For:
  • 5+ years in data governance, data privacy, or a closely related discipline - with meaningful experience at a technology company handling large-scale or sensitive datasets.
  • Hands-on experience conducting and owning DPIAs, privacy assessments, and data protection documentation - ideally in a context where these were reviewed by external auditors or regulators.
  • Deep working knowledge of GDPR, CCPA/CPRA, and the EU AI Act - and the ability to translate regulatory requirements into concrete, operationalizable policies and controls.
  • Experience with training data provenance, dataset licensing, and consent management in an ML or AI context - you understand why labeler provenance and data lineage matter for model accountability, not just compliance.
  • Familiarity with compliance-as-code approaches: you've worked with or built automated data validation gates, policy-enforcement pipelines, or pre-deployment checks tied to data quality and compliance metadata.
  • Technical fluency with cloud data infrastructure (AWS, GCP, or Azure), data warehouses (BigQuery, Snowflake), and data cataloging or lineage tools - enough to design controls and engage credibly with engineering teams.
  • Experience building and maintaining risk registers, evidence stores, and audit documentation - you know what "regulator-grade" evidence looks like in practice.
  • Demonstrated ability to drive cross-functional alignment across Legal, Security, Research, and Engineering, including influencing without formal authority in a fast-moving environment.
  • A builder's mindset: you're energized by 0→1 work, comfortable creating structure where little exists, and pragmatic enough to ship imperfect-but-useful processes on the way to ideal ones.
  • Relevant certifications (CDMP, CIPP/E, or similar) are a plus - but track record and demonstrated impact matter more than credentials.
What We Offer:
We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
  • Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
  • Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
  • Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
  • Meals: Lunch and dinner are provided in the office daily.
  • Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
  • Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
  • Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
  • Team building: We have regular off-sites, happy hours, and team celebrations.

Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.

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