Senior Data Governance & Metadata Analytics Lead

ARYAN SOLUTIONS PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

6 days ago
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Job summary

ARYAN SOLUTIONS PTE. LTD. is seeking a Senior Business Analyst to support enterprise data governance and metadata management solutions.

The role acts as bridge between business and technology, translating requirements into functional solutions across metadata management, data governance, platform configuration, testing, and user adoption. You will work on Data Management initiatives in complex enterprise environments, gather and document requirements, design metadata models, and support UAT and

Qualifications

  • Bachelor's Degree in Information Technology, Computer Science, Business, Data Management, or a related discipline.
  • Minimum 10 years of Business Analysis experience, with relevant experience supporting Data, Analytics, Data Governance, Data Management, or Enterprise Data Platform implementations.
  • Strong understanding of metadata management, data governance, data catalogues, business glossaries, data lineage, and data stewardship concepts.
  • Experience defining and documenting business requirements, functional requirements, user stories, workflows, and acceptance criteria.
  • Strong experience working with business and technical stakeholders within complex enterprise environments.
  • Experience with Agile delivery methodologies, backlog management, sprint planning, and requirements management.
  • Hands‑on experience supporting UAT, functional validation, defect management, and release activities.
  • Strong workshop facilitation, stakeholder engagement, and requirements elicitation capabilities.
  • Excellent analytical, problem‑solving, documentation, and communication skills.
  • Ability to translate complex business requirements into clear and actionable functional requirements.

Responsibilities

  • Gather, analyse, document, and manage business and functional requirements across data governance and metadata management initiatives.
  • Engage business and technology stakeholders to understand requirements, challenges, and desired business outcomes.
  • Define and document metadata models, business glossaries, data definitions, and governance requirements.
  • Design and document data governance workflows, controls, approval processes, and data stewardship procedures.
  • Translate business requirements into functional specifications, user stories, acceptance criteria, and backlog items.
  • Work closely with Product Owners to prioritise requirements and support backlog and release planning.
  • Support the configuration and implementation of metadata management and data governance platforms.
  • Perform functional testing and User Acceptance Testing (UAT) to validate platform features, configurations, workflows, and customisations.
  • Identify functional gaps, document issues, and work with technical teams through resolution.
  • Collaborate with Data Stewards, Product Owners, Data Architects, Engineering teams, and other stakeholders to ensure successful solution delivery.
  • Develop user guides, training materials, process documentation, and other supporting materials.
  • Conduct user training and support change management and platform adoption activities.
  • Facilitate workshops and stakeholder discussions to drive alignment and decision-making.
  • Support continuous improvement of data governance processes, standards, and operating models.

Skills

Business Analysis
Stakeholder Mgmt
Agile delivery
UAT Testing
Metadata management
Data governance
Documentation
Workshops
Data catalogues
Data lineage

Education

Bachelor's Degree

Tools

OpenMetadata
Collibra
Alation
Informatica

Job description

ARYAN SOLUTIONS PTE. LTD. is seeking a Senior Business Analyst to support enterprise data governance and metadata management solutions.

The role acts as bridge between business and technology, translating requirements into functional solutions across metadata management, data governance, platform configuration, testing, and user adoption. You will work on Data Management initiatives in complex enterprise environments, gather and document requirements, design metadata models, and support UAT and

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