Lead enterprise data discovery, inventory, classification and governance initiatives. Evaluate and run POCs for tools (OneTrust, BigID, Varonis, Cyera, Delphix, RecordPoint, Collibra, Microsoft Purview). Conduct stakeholder workshops, assess classification accuracy, security, scalability, integrations, and metadata flow. Produce recommendations, feasibility assessments, roadmaps, and support Collibra integration.
Job Title: Senior Data Expert – Data Discovery & Governance
Duration: 3–4 Month Contract (Potential Extension)
Type: Remote / Project-Based
Job Summary:
Seeking a senior Data Expert with strong experience in data discovery, classification, cybersecurity, data protection, governance, and lifecycle management. The consultant will lead enterprise data discovery and classification initiatives, evaluate data security/governance tools, and support Collibra integration.
Key Responsibilities:
- Lead data discovery, inventory, classification, and governance initiatives.
- Evaluate tools including OneTrust, BigID, Varonis, Cyera, Delphix, RecordPoint, Collibra, and Microsoft Purview.
- Conduct stakeholder workshops and lead Proof-of-Concept (POC) evaluations.
- Assess classification accuracy, security, scalability, integrations, usability, and metadata flow.
- Develop recommendations, implementation feasibility assessments, and a roadmap.
Must-Have Skills:
- Enterprise Data Discovery & Classification
- Data Governance & Data Protection
- Data Lifecycle Management
- Collibra / Metadata Management
- Experience evaluating data security/governance tools
- Strong stakeholder management and POC leadership
Requirements
Senior-level Data Discovery & Classification experience
Strong Data Governance & Data Protection background
Experience with Data Lifecycle Management
Hands-on knowledge of Collibra and metadata management/integration
Experience with data security/classification tools such as:
- OneTrust
- BigID
- Varonis
- Cyera
- Delphix
- RecordPoint
- Microsoft Purview
Experience leading Data Discovery, Inventory & Classification initiatives
Ability to conduct stakeholder workshops
Experience leading POCs / tool evaluations
Ability to assess classification accuracy, security, scalability, usability, integrations, and metadata flow
Strong experience developing recommendations and implementation roadmaps
Similar Jobs
Artificial Intelligence • Cloud • Information Technology • Consulting
Develops advanced analytics and machine learning models using structured and unstructured data to generate actionable business insights. Responsibilities include defining analytics requirements, selecting modeling methodologies, integrating models into business processes, measuring performance, enhancing analytics solutions, creating visualizations, and communicating findings to stakeholders. The role requires collaboration with application developers and independent judgment in solving technical and business problems.
Top Skills:
Ab InitioAssociation RulesCartChaidCluster AnalysisD3ETLHadoopHTML5InformaticaJavaNeural NetworksPythonQlikviewRRegressionSASSequence AnalysisSpotfireSpssSQLTableauTalendText MiningUnix Shell
.jpg){kind=logo}
Healthtech • Social Impact • Software • Telehealth
Manage provider enrollment and roster operations across 50+ payer networks. Validate data pipelines, execute bulk record updates, reconcile enrollment data, maintain SOPs, improve operational visibility, and ensure accurate documentation and readiness for new initiatives. Analyze and clean large datasets, troubleshoot discrepancies, identify root causes, and communicate findings to technical and non-technical stakeholders. Preferred experience includes workflow automation, business intelligence, SQL, and CRM or ticketing platforms.
Top Skills:
AirtableExcelGoogle Apps ScriptGoogle SheetsLookerMakeMetabasePower BIPythonSalesforceSQLTableauZapierZendesk
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Leads and develops a team of 6–8 Corporate Account Managers responsible for upselling, cross-selling, renewals, and full-cycle sales to small and midsize businesses. Coaches representatives, improves sales strategies and close rates, recruits and trains new hires, collaborates with sales engineering and channel teams, manages pipeline and forecasts, and participates in customer engagements to drive expansions and renewals.
Top Skills:
CybersecuritySaaS
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
