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Semantics Architect - Data & AI Platform

TymeX

Singapore

On-site

SGD 80,000 - 100,000

Full time

Yesterday
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Job summary

A leading digital banking firm in Singapore is seeking a Semantics Architect to design and govern a semantic architecture for AI-driven solutions. The ideal candidate will have a Master's degree and at least 5 years of experience in semantic modeling, along with proven skills in delivering large-scale data and AI workloads. This role offers a performance bonus, comprehensive benefits, and opportunities for growth within an international team.

Benefits

Performance bonus up to 2 months
13th month salary (pro-rata)
15 days annual leave + 3 sick days + birthday leave + Christmas leave
Meal & parking allowance
Full salary & benefits during probation
Premium healthcare for you and your family
Growth pathways, conferences, and continuous learning
International, values-driven culture
Overseas travel opportunities
Internal hackathons, team events
40-hour week, Monday–Friday
Relocation offered to Vietnam

Qualifications

  • 5+ years of hands-on experience in semantic or ontology or data modeling.
  • Proven experience delivering semantics and metadata at scale for large AI workloads.
  • Experience building analytics, ML, or AI-driven systems with semantics inputs.

Responsibilities

  • Own and evolve the semantic architecture for the bank.
  • Develop a semantic computational governance framework.
  • Architect shared data products.

Skills

Semantic modeling
Data governance
AI platforms
Data quality frameworks
Strong communication

Education

Masters degree in a relevant field

Tools

dbt
LookML
Delta Lake
Spark
SQL
Palantir
Job description
About the Role

TymeX is building one of the most advanced Data & AI platforms in digital banking. A core pillar of this platform is a unified semantic layer that ensures every data product across our domains is interoperable, trustworthy, and AI-ready.

As a Semantics Architect, you will design and govern this semantic backbone across domains and countries. Your work will directly power dynamic customer 360, conversational analytics, accurate LLM retrieval, and Actionable AI agents across the bank.

This is a rare opportunity to define a semantic architecture from the ground up to safely unleash AI Agents and automation at Industrial Scale.

What You’ll Do
  • Own and Evolve the Semantic Architecture for the Bank
  • Semantic Computational Governance Framework
  • Architect Shared Data Products
  • Enable AI Usecases at Industrial Scale
  • Empower Product Teams
  • Partner Across Engineering, Data & Product
What You’ll Bring

Masters degree in a relevant field.
5+ years of hands on experience in semantic or ontology or data modeling.
Proven experience delivering semantics and metadata at scale for large AI workloads.
Experience with hyper-scalar data platforms, semantic tools, dbt, LookML, MDX, Delta Lake, Spark, SQL, Palantir.
Strong understanding of data contracts and data quality frameworks.
Strong understanding of Data Mesh Principles and a “taste” for implementing the “Socio-Technical” changes required to democratize data.
Experience building analytics, ML, or AI-driven systems with semantics inputs.
Hands on builder-leader who is not shy of building frameworks to accelerate understanding and development process and turn ideas into reality.
Strong communication and stakeholder alignment skills.
Passion for modern AI and reusable data ecosystems.

Why You’ll Love Working Here
  • Performance bonus up to 2 months.
  • 13th month salary (pro-rata).
  • 15 days annual leave + 3 sick days + birthday leave + Christmas leave.
  • Meal & parking allowance.
  • Full salary & benefits during probation.
  • Premium healthcare for you and your family.
  • Growth pathways, conferences, and continuous learning.
  • International, values-driven culture.
  • Overseas travel opportunities.
  • Internal hackathons, team events, Blue Card program.
  • 40-hour week, Monday–Friday.
  • Relocation offered to Vietnam. Strong candidates overseas will be considered for remote location as well.
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