Data Quality Analyst: Stakeholder-Facing & Governance

Tata Consultancy Services; Charlotte (NC); On-site; USD 110,000 - 135,000; Full time

Job summary

Tata Consultancy Services is seeking a data quality initiative lead in the United States (Charlotte area). You will drive requirements gathering with business stakeholders, translate ambiguous language into testable specs, and validate data quality rules using SQL.

Expect to manage backlogs, produce stakeholder reports, and partner with engineers to ensure data readiness for product initiatives. The role emphasizes collaboration across functions, facilitating cross-team communication, and

Qualifications

• 3+ years in business analyst, data analyst, or similar roles involving direct stakeholder-facing requirements gathering.
• 1+ year exposure to data quality, data governance, or data management initiatives preferred.
• Ability to translate ambiguous business language into precise, testable requirements.
• Working SQL skills sufficient to explore data independently, validate assumptions, and communicate credibly.

Responsibilities

• Partner with business stakeholders to define data quality requirements organized by business function and subject area.
• Identify and document the critical data elements, quality expectations, thresholds, severity, and steward/owner responsible for triage.
• Define cross-entity correlation requirements as quality rules alongside field-level checks.
• Own and prioritize the data quality rule backlog by subject area, balancing business impact, regulatory importance, and engineering effort.

Skills

Stakeholder facilitation

Communication skills

Backlog management

Documentation & reporting

Ambiguity translation

Education

Bachelor of Computer Science

Tools

SQL

Job description

Tata Consultancy Services is seeking a data quality initiative lead in the United States (Charlotte area). You will drive requirements gathering with business stakeholders, translate ambiguous language into testable specs, and validate data quality rules using SQL.

Expect to manage backlogs, produce stakeholder reports, and partner with engineers to ensure data readiness for product initiatives. The role emphasizes collaboration across functions, facilitating cross-team communication, and