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

Tata Consultancy Services Ltd

  • Jersey City, NJ
  • 15 days ago
  • $130,000–$160,000 Per Year

Highlights

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. Establish observability monitoring for data freshness, completeness, volume, schema, distribution, pipeline reliability, anoma-lies and data incidents; align alerts with support and remediation workflows.

Numbers & Facts

LocationJersey City, NJ
Salary$130,000–$160,000 Per Year

Description

Role: Lead

Required Skills: Data Quality management | Master Data Governanace

Qualification: BACHELOR OF COMPUTER SCIENCE

Experience: 12 - 16 Years

Function: TECHNOLOGY

Apply By: 2026-12-08

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 ser-vices, 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 escalate 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

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