Data Governance / Alation Analyst

Zoho; New York (NY); On-site; USD 110,000 - 170,000; Full time

Job summary

LatentBridge is seeking a Data Governance / Alation Analyst to implement and manage enterprise data governance and catalog capabilities. You will specialize in Alation, metadata management, data lineage, and glossary creation while coordinating with business and technical teams to ensure data is well documented and traceable across the organization.

The role requires hands-on Alation experience and collaboration with stakeholders to drive governance programs, data quality, and regulatory

Qualifications

• Hands-on in Data Governance, Data Management, Metadata Management, or Data Catalog functions.
• Hands-on experience with Alation is mandatory.
• Experience with Collibra or other enterprise data catalog/governance platforms will be considered.

Responsibilities

• Configure, maintain, and administer the Alation Data Catalog and governance capabilities.
• Create or maintain metadata, glossary terms, data definitions, and data domains.
• Document data lineage across reports, data sources, processes, and business functions.
• Maintain datastewardship workflows: ownership, approvals, and issue resolution.
• Collaborate with stakeholders to document and validate critical data assets and definitions.
• Map reports to data sources and business processes to improve traceability.
• Maintain governance documentation, standards, and operating models.

Skills

Alation

Data Governance

Data Lineage

Data Quality

Metadata Management

Collibra

Documentation

Stakeholder Mgmt

Tools

SQL

Job description

New York, United States | Posted on 10/07/2026

At LatentBridge, we make digital transformation work—without the noise.

We help enterprises simplify the complex, using AI orchestration and intelligent automation to solve real operational challenges. Our focus is on the parts of the business that are often overlooked—compliance, audit, policy, and risk—where precision, scalability, and accountability matter most.

Our products—Epic AI and IntellixCore—are built for this depth.Epic AI delivers enterprise-grade search and knowledge assistance directly inside the tools people already use—making access to information instant and intuitive.

IntellixCore is a platform to build, deploy, and scale intelligent agents across critical workflows—seamlessly integrating with existing systems.

We work with global banks, financial institutions, and legal firms—teams navigating constant change, regulatory pressure, and operational complexity.

In 2024, we were named one of the Deloitte UK Technology Fast 50, recognised for our growth and the tangible impact we deliver.

What sets us apart is not just what we build, but how we build it—grounded in enterprise realities, delivered with clarity, and always focused on outcomes that matter.

Job Description

RoleOverview

We are looking for a Data Governance /Alation Analyst to support the implementation and ongoing management ofenterprise data governance and data catalog capabilities. The role willprimarily focus on Alation, metadata management, data lineage, businessglossary, data stewardship, data quality, and governance processes. The idealcandidate will be comfortable working with both technical and businessstakeholders to ensure that critical data assets are well documented,understood, governed, and traceable across the organization.

Hands-on experience with Alation ismandatory. Candidates with both Alation and Collibra experience are welcome;however, candidates with only Collibra or other enterprise data catalogexperience will not be considered.

KeyResponsibilities

• Configure, maintain, andadminister the Alation Data Catalog and related governance capabilities.
• Create and maintain metadata,business glossary terms, data definitions, data domains, and critical dataelements.
• Support the development andmaintenance of data lineage across reports, data sources, processes, andbusiness functions.
• Establish and maintain datastewardship workflows, including ownership, accountability, approvals, andissue resolution.
• Work with business andtechnical stakeholders to identify, document, and validate critical data assetsand their definitions.
• Support report-to-data-sourceand report-to-business-process mapping to improve data traceability andtransparency.
• Maintain governancedocumentation, standards, procedures, operating models, and other governanceartifacts.
• Support data qualityinitiatives, including identification of data quality issues, documentation ofrules, and coordination with data owners and stewards for remediation.
• Assist with regulatoryreporting, compliance, audit, and risk-related activities, including evidencecollection and documentation.
• Support audit and complianceteams in tracking governance gaps, remediation activities, and closureevidence.
• Develop and maintain datagovernance metrics, dashboards, and status reports covering catalog adoption,stewardship, data quality, lineage, and governance activities.
• Identify gaps in existinggovernance processes and recommend improvements to increase data transparency,accountability, and control.
• Participate in data governanceforums and collaborate with Data Owners, Data Stewards, Business Analysts,Technology teams, Risk, Compliance, and Audit.

RequiredSkills & Experience

• Experience in Data Governance,Data Management, Metadata Management, or Data Catalog functions.
• Hands-on experience withAlation is mandatory.
• Experience with Collibra orother enterprise data catalog/governance platforms will also be considered.
• Strong understanding of DataGovernance frameworks and operating models.
• Strong understanding ofmetadata management, data lineage, business glossary, and data definitions.
• Understanding of datastewardship, data quality concepts and processes, critical data elements, anddata ownership.
• Experience supportingregulatory, risk, compliance, or audit requirements.
• Strong documentation andprocess-definition skills.
• Ability to work effectivelywith both business and technical stakeholders.
• Strong analytical,communication, and stakeholder-management skills.

PreferredExperience

• Experience working withenterprise data governance implementations.
• Experience configuring oradministering Alation.
• Experience with data lineageand integration of catalog metadata from multiple systems.
• Exposure to financial services,banking, insurance, or other highly regulated environments.
• Experience supportingregulatory reporting or data controls.
• Familiarity with SQL and/ordata analysis tools is an advantage.
• Experience creating governancedashboards and operational metrics.

WhatSuccess Looks Like

• Critical data assets areproperly cataloged and documented.
• Business definitions andownership are clearly established.
• Data lineage is available andmaintained.
• Data stewards and owners haveclearly defined responsibilities.
• Governance and data-qualityissues are tracked through to resolution.
• Audit and regulatory evidencecan be produced efficiently.
• Business and technology teams have greaterconfidence in the organization's data

Requirements

RequiredSkills & Experience

• Experience in Data Governance,Data Management, Metadata Management, or Data Catalog functions.
• Hands-on experience withAlation is mandatory.
• Experience with Collibra orother enterprise data catalog/governance platforms will also be considered.
• Strong understanding of DataGovernance frameworks and operating models.
• Strong understanding ofmetadata management, data lineage, business glossary, and data definitions.
• Understanding of datastewardship, data quality concepts and processes, critical data elements, anddata ownership.
• Experience supportingregulatory, risk, compliance, or audit requirements.
• Strong documentation andprocess-definition skills.
• Ability to work effectivelywith both business and technical stakeholders.
• Strong analytical,communication, and stakeholder-management skills.

WhatSuccess Looks Like

• Critical data assets areproperly cataloged and documented.
• Business definitions andownership are clearly established.
• Data lineage is available andmaintained.
• Data stewards and owners haveclearly defined responsibilities.
• Governance and data-qualityissues are tracked through to resolution.
• Audit and regulatory evidencecan be produced efficiently.
• Business and technology teamshave greater confidence in the organization's data.