Nityo Infotech

Data Governance Consultant

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Governance Consultant in Newark, NJ, with a contract length of "unknown" and a pay rate of "unknown." Requires 10+ years in data governance, experience with DQ rules, data catalogues, and cloud platforms (Azure, AWS, GCP).
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
June 18, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Newark, NJ
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🧠 - Skills detailed
#Cloud #Data Catalog #Data Management #Azure #Strategy #Data Governance #GCP (Google Cloud Platform) #Metadata #Alation #Classification #Data Quality #MDM (Master Data Management) #Data Engineering #Data Lineage #Collibra #AWS (Amazon Web Services)
Role description
Data Governance profileβ€” Location: Newark, NJ (Onsite) Responsibilities β€’ Define and enforce data quality rules across ingestion pipelines and data catalogues. β€’ Set up and manage enterprise data catalogues β€” metadata, lineage, and asset classification. β€’ Recommend and implement data governance tools suited to the organisation. β€’ Engage business users across units to co-design governance guardrails and policies. β€’ Drive data mastering strategy from ingestion through to consumption. β€’ Establish data ownership and stewardship models across domains. β€’ Champion data governance as a strategic business enabler β€” articulating the value of trusted, well-governed data in driving better decisions, reducing risk, and improving operational efficiency. β€’ Liaise with business unit leaders and key stakeholders to build awareness and buy-in for governance initiatives, translating technical standards into business-relevant outcomes. β€’ Act as a governance advocate across the organisation β€” conducting working sessions, training, and roadshows to embed a data-ownership culture at every level of the business. Requirements β€’ 10+ years in data governance, data management, or data engineering. β€’ Hands-on with DQ rule definition, data catalogue setup, and ingestion pipeline governance. β€’ Experienced in evaluating and deploying DG platforms (Purview, Collibra, Alation, etc.). β€’ Strong communicator β€” able to translate governance concepts for business stakeholders. β€’ Familiarity with cloud platforms (Azure, AWS, or GCP) and MDM principles.