Data Quality & Responsible AI Governance Lead (Hybrid NJ)

JSR Tech Consulting; Newark (NJ); Hybrid; USD 76,000 - 85,000; Full time

Job summary

JSR Tech Consulting seeks a Data Quality & Responsible AI Governance Lead for a Newark, NJ contract-to-hire engagement, hybrid with 3 days onsite. You will drive data quality controls, AI governance, and risk management across data sources, pipelines, and AI use cases.

Responsibilities include defining AI-ready data, embedding controls into data products and certification workflows, and delivering audit-ready evidence while coordinating with risk, legal, privacy, and audit partners.

Qualifications

• Strong experience in enterprise data quality, data governance, and data management within complex environments.
• Familiarity with data architecture, metadata, lineage, and managed data platforms.
• Knowledge of Responsible AI, AI governance, risk, and model lifecycle concepts.

Responsibilities

• Lead enterprise implementation of data quality and AI data readiness controls.
• Define AI-ready data standards including lineage, metadata, and access controls.
• Translate governance requirements into measurable data controls embedded into pipelines.
• Collaborate with data architects, data engineering, and security teams to place controls appropriately.
• Develop reusable control patterns and evidence workflows.

Skills

Data governance

Data management

Data architecture

Responsible AI governance

Communication

Leadership

Education

Bachelor's degree in computer science / data science / engineering

Advanced degree or relevant certifications

Tools

SQL

Python

YAML/JSON

APIs

Rules engines

Job description

JSR Tech Consulting seeks a Data Quality & Responsible AI Governance Lead for a Newark, NJ contract-to-hire engagement, hybrid with 3 days onsite. You will drive data quality controls, AI governance, and risk management across data sources, pipelines, and AI use cases.

Responsibilities include defining AI-ready data, embedding controls into data products and certification workflows, and delivering audit-ready evidence while coordinating with risk, legal, privacy, and audit partners.