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Provenance Research Jobs (NOW HIRING)

Basis Research

Data Engineer, Platform

New York, NY · On-site

$125K - $150K/yr

Ensure data provenance and lineage tracking so researchers and engineers can understand data origins, transformations applied, and dependencies, enabling reproducible experiments and debugging.

Duke University

Lab Research Analyst I

Durham, NC · On-site

The analyst will bring operational discipline, provenance, and reproducibility to multi-project ... Research Support & Reporting * Produce processed datasets, summary outputs, and quality-control ...

Jobgether

$80K - $110K/yr

Develop scalable solutions for memory, context management, retrieval, provenance, and user ... Research and prototype agent interoperability solutions, including tool execution and multi-agent ...

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Provenance Research information

What does a typical day look like for someone working in provenance research?

A typical day in Provenance Research involves reviewing historical documentation, analyzing archival records, and compiling detailed reports on the ownership histories of artworks or artifacts. You may collaborate closely with curators, legal specialists, auction houses, or collectors to verify information and address gaps in provenance. The work often requires a blend of independent research and teamwork, particularly when investigating complex or contested histories. This dynamic and investigative role is ideal for those who enjoy problem-solving and contributing to the preservation of cultural heritage.

What is a provenance research?

A Provenance Research job involves investigating the history, ownership, and legitimacy of artworks, antiques, or cultural artifacts. Researchers trace the origins of items to ensure they were acquired legally and ethically, often focusing on gaps in ownership during periods of conflict or colonial rule. This work is crucial for museums, auction houses, and private collectors to verify authenticity and rightful ownership.

What are the key skills and qualifications needed to thrive in provenance research, and why are they important?

To thrive in Provenance Research, you need strong analytical abilities in art history or related fields, a keen eye for detail, and advanced research skills, typically backed by a relevant degree. Familiarity with archival databases, cataloguing systems, and sometimes provenance-specific software or certifications is highly valuable. Excellent written communication, persistence, and collaborative skills will set you apart when interacting with stakeholders and navigating complex historical records. These abilities ensure accurate tracing of an object's history, essential for authenticity, legal compliance, and institutional reputation.

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Provenance Research jobs near you
Infographic showing various Provenance Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Research Operations Program Manager

PROLIM Global Corporation

Remote

Full-time

Posted 16 days ago

Job description

PROLIM Global Corporation (www.prolim.com) is hiring a Research Operations Program Manager for a leading Technology Client.
Job Title: Research Operations Program Manager
Location: 100% Remote
Duration: 12 Months (Extendable)
Job Summary
We are seeking a hands-on Research Operations Program Manager, Systems & Analytics to strengthen the execution layer behind that work. This role sits at the intersection of research operations, analytics, tooling, and operational change: building the systems that make research work visible, measurable, and easier to manage across a large, compliance-sensitive product organization.
The right person is an operator-builder: analytically strong, operationally practical, and comfortable taking ambiguous problems from diagnosis through adoption. They bring the judgment to know when to move independently, when to bring evidence forward, and how to build systems that make complex work easier to execute.
Key Responsibilities
  • Own the execution and continuous improvement of program operating cadences, including intake tracking, milestone and risk management, and stakeholder updates
  • Build practical AI-enabled research operations workflows, including configuring internal tools, translating repeatable support and discovery needs into AI-assisted processes, evaluating AI vendors and self-service tools, and defining the controls needed for quality, privacy, provenance, measurement, and human review
  • Build and run the research operations portfolio system, including project status, data completeness, vendor/tool usage, and recurring portfolio reporting
  • Identify recurring process bottlenecks from support requests, chat history, tracker data, and stakeholder feedback; translate those patterns into documentation, self-service coverage, automation, or escalation paths
  • Establish measurement for research velocity, portfolio health, tool adoption, operational cost efficiency, self-service coverage, and AI-enabled workflow impact
  • Apply hands-on analysis across SQL, spreadsheets, vendor data, tracker data, and qualitative operational signals to surface performance trends, trade-offs, and decisions requiring leadership input
  • Drive adoption of new systems and workflows by instrumenting usage, closing data-quality gaps, training users, gathering feedback, and iterating based on what the team actually uses
  • Work with research leadership, data science, finance, legal/privacy, operations, and vendor partners to manage dependencies, address data gaps, and prepare evidence-based recommendations for decision-makers

Minimum Qualifications
  • 6+ years of experience in operations, program management, business operations, research operations, product operations, analytics, or a related field, including at least 3 years in operational analytics or measurement
  • Track record of designing and delivering complex operational programs or systems from concept through scaled adoption, including defining scope, building stakeholder alignment, and shipping iteratively without a pre-existing playbook
  • Demonstrated experience applying AI and automation to improve operational or analytical workflows with appropriate human and data-quality controls
  • Strong hands-on SQL and Excel or Google Sheets skills, with experience independently analyzing complex operational data
  • Demonstrated ability to define metrics and translate analysis, dashboards, and reporting into operational decisions
  • Excellent written and verbal communication, analytical judgment, executive-ready synthesis, and ability to influence senior stakeholders

Preferred Qualifications
  • Experience supporting research, product insights, research operations, product operations, or another knowledge-intensive function
  • Experience with data workflow automation or lightweight systems development using tools such as Python, Apps Script, SQLite, or comparable technologies
  • Familiarity with data governance, privacy, provenance, access controls, or compliance-sensitive operations
  • Experience with vendor, procurement, budget, or program-impact measurement

Must-Have Skills
  • 8+ years of program and project management in a cross functional environment
  • 3+ years in analytics/metrics-focused work (program analytics, biz ops, data analyst, or similar)
  • Experience building dashboards using BI tools (Tableau, Looker, etc) and recurring reporting for stakeholders/leadership
  • SQL & T-SQL skills Strong hands-on SQL and Excel or Google Sheets skills, with experience independently analyzing complex operational data
  • Experience with data workflow automation or lightweight systems development using tools such as Python, Apps Script, SQLite, or comparable technologies

Nice-to-have Skills
  • Experience supporting research, product insights, or research operations
  • Familiarity with data governance, privacy, provenance, access controls, or compliance-sensitive operations
  • Experience with vendor, procurement, budget, or program-impact measurement

Years of Experience:
  • 7+ years experience

Degrees/Certifications Required:
  • Bachelor's degree in an analytical/quantitative field or equivalent experience

How many rounds of interviews?
  • 3 rounds

Types of Interviews
  • 1 - 15 minute presentation to present their past work
  • 1 data analyst interviewer
  • 1 program manager interviewer

Interview Duration
  • 30 minutes each for interviews

Interested Candidates
Please send your updated resume and contact details to: anand.kanavalli@prolim.com
About PROLIM Corporation
PROLIM is a leading provider of end-to-end IT, PLM, and Engineering Services and Solutions for Global 1000 companies. We understand business as much as technology and help our customers improve profitability and efficiency through high-value consulting, staffing, engineering, and project management services.
Our offerings include Advisory Services, PLM Software & Services, Program Management, Solution Architecture, Training & Staffing, Cloud Solutions, Infrastructure Services, ERP Practices, Quality Assurance Services, and Engineering Services across a wide range of industries.

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