Data Governance Lead _ Data Governance, Data Quality, Lineage & Observability

Tata Consultancy Services; Jersey City (NJ); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Medical Coverage

Parental Leaves

Insurance Options

Certification & Training Reimbursement

Vacation & Holidays

401K Plan

Performance Bonus

Job summary

Tata Consultancy Services Limited in the United States is seeking a Senior Data Governance Leader to drive enterprise data governance, data quality, lineage and observability across cloud, lakehouse, data warehouse and analytics ecosystems.

You will translate business and regulatory needs into pragmatic policies, define operating models, establish metadata practices, and mentor data stewards while partnering with risk, security and engineering teams.

Qualifications

• Experience in enterprise data governance and governance operating models.
• Hands-on knowledge of metadata, data catalog, glossary and data ownership.
• Strong understanding of data quality, profiling and issue management.
• Experience with governance tooling and cloud data platforms.

Responsibilities

• Lead the design and implementation of integrated governance, quality, lineage and observability.
• Translate needs into pragmatic policies, standards and roadmaps.
• Define operating models with accountable data owners and governance councils.
• Establish enterprise metadata, data glossary and data catalog practices.
• Design data quality lifecycle processes including profiling and monitoring.
• Define end-to-end lineage from source to reports and AI use cases.
• Establish observability monitoring for data freshness, volume and schema.
• Develop dashboards and executive reporting for data health and risk reduction.
• Evaluate and configure governance tooling and integration patterns.
• Partner with architecture, security, privacy, risk and business teams.
• Lead workshops, design reviews and production adoption.
• Mentor governance leads and data stewards; create accelerators.
• Support proposals, effort estimation and capability development.

Skills

Data Governance

Data Quality

Data Lineage

Data Observability

Stakeholder Management

Leadership

Communication

Workshops

Risk Management

Consulting

Education

Bachelor of Computer Science

Tools

Collibra

Informatica

Microsoft Purview

Alation

Atlan

BigID

Monte Carlo

Bigeye

Databricks Unity Catalog

Job description

Location

NJ/NYC/Charlotte/Washington DC area/Columbus OH/Malvern PA

Must Have Technical/Functional Skills

• 12+ years of experience in enterprise data management, with strong expertise across Data Governance, Data Quality, Metadata, Data Lineage and Data Observability.
• Proven experience defining and implementing enterprise Data Governance operating models, policies, standards, controls, stewardship structures, decision rights and governance forums.
• Strong hands‑on knowledge of business and technical metadata, data catalog, glossary, classification, ownership, critical data elements and end‑to‑end lineage.
• Deep understanding of Data Quality frameworks, including profiling, rule design, controls, scorecards, issue management, root‑cause analysis, remediation and continuous monitoring.
• Experience establishing Data Observability capabilities spanning freshness, volume, schema, distribution, pipeline health, anomalies, incidents, service levels and operational dashboards.
• Ability to integrate governance, quality, lineage and observability controls across cloud, lakehouse, data warehouse, data inte‑gration and analytics ecosystems.
• Experience with one or more enterprise platforms such as Collibra, Informatica CDGC/Axon/EDC/IDQ, Microsoft Purview, Alation, Atlan, BigID, Monte Carlo, Bigeye, Databricks Unity Catalog or comparable tools.
• Strong knowledge of data architecture, data modeling, ETL/ELT, APIs, batch/streaming pipelines, SQL and cloud data plat‑forms such as Azure, AWS, Databricks or Snowflake.
• Experience defining governance and quality KPIs/KRIs, control evidence, data issue workflows, auditability and executive re‑porting.
• Good understanding of privacy, security, retention, regulatory and risk‑management expectations relevant to financial services, including BCBS 239, GDPR/CCPA and data‑control principles.
• Proven experience leading discovery workshops, current‑state assessments, target‑state design, roadmaps, tool evaluations, implementation planning and adoption/change initiatives.
• Strong consulting, stakeholder‑management and communication skills, with the ability to engage business, risk, compliance, data, engineering and executive stakeholders.
• Preferred certifications in DAMA/CDMP, DCAM, Collibra, Informatica, Microsoft Purview, cloud data platforms, data quality or related disciplines.

Roles & Responsibilities

• Lead the design and implementation of an integrated Data Governance, Data Quality, Data Lineage and Data Observability capability for enterprise data platforms.
• Translate business, regulatory, risk and technology needs into pragmatic governance policies, standards, controls, processes and implementation roadmaps.
• Define the operating model, including accountable data owners, business and technical stewards, governance councils, RACI, escalation paths and decision rights.
• Establish enterprise metadata, business glossary, data catalog, classification, critical data element and ownership practices.
• Design Data Quality lifecycle processes covering profiling, rule definition, thresholds, monitoring, scorecards, issue triage, root‑cause analysis and remediation governance.
• Define and operationalize end‑to‑end lineage from source through transformatio ns to reports, analytics, regulatory outputs and AI use cases.
• Establish observability monitoring for data freshness, completeness, volume, schema, distribution, pipeline reliability, anoma-lies and data incidents; align alerts with support and remediation workflows.
• Develop control frameworks, KPIs/KRIs, dashboards and executive reporting to demonstrate data health, control effective‑ness, risk reduction and adoption.
• Evaluate and configure governance tooling; define integration patterns with data platforms, ETL/ELT, BI, ticketing, CI/CD and cloud services.
• Partner with data architecture, engineering, platform, security, privacy, risk and business teams to embed governance controls within delivery lifecycle and DataOps practices.
• Lead workshops, architecture/design reviews, backlog prioritization, implementation governance, testing, release readiness and production adoption.
• Manage risks, dependencies and issues; provide clear recommendations and elevate decisions requiring senior stakeholder intervention.
• Mentor governance leads, data stewards, analysts and engineers; create reusable accelerators, templates, playbooks and knowledge assets.
• Support solutioning, proposals, effort estimation, client presentations and capability development for Data Governance and Data Management opportunities.

Generic Managerial Skills, If any

• Strong leadership and stakeholder‑management skills across business, technology, risk, compliance and data organizations.
• Excellent written, verbal and presentation skills for technical, business and executive audiences.
• Consultative problem‑solving approach with the ability to simplify complex governance and technology topics.
• Experience leading cross‑functional and geographically distributed teams and driving outcomes without direct authority.
• Strong planning, prioritization, facilitation, negotiation, risk management and decision‑making skills.
• High ownership, accountability and attention to detail, with a focus on measurable adoption & sustainable operating practices.
• Ability to mentor practitioners, influence senior stakeholders and establish an active data stewardship community.

TCS Employee Benefits Summary:

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
• Salary Range: $130,000-$160,000 a year

Desired Candidate Profile

Qualifications

BACHELOR OF COMPUTER SCIENCE