Lead Data Engineer (Data Management & Governance)

Temus was established by Temasek in partnership with UST, to provide digital transformation solutions for the private and public sectors as we aspire to be a strategic partner in realising the Singapore Government’s Smart Nation vision. We are headquartered in Singapore and have more than 400 employees across a wide range of disciplines in strategy, design, architecture, technology, data & AI.

Your objectives 

• Solve complex data management challenges and deliver measurable business value through governance transformation 

• Lead data maturity assessments and develop transformation roadmaps for enterprise clients across various industries 

• Guide clients in establishing and scaling data analytics teams, from organizational design to capability building 

• Design and implement comprehensive data governance frameworks, policies, and operating models aligned with business objectives 

• Build and deploy metadata management solutions, data catalogues, and lineage tracking systems 

• Facilitate executive workshops and present data strategy recommendations to C-suite stakeholders 

• Drive adoption of DAMA-DMBOK principles and industry best practices across client organizations 

• Lead pre-sales engagements, solution architecture, and technical due diligence for data governance initiatives 

• Mentor clients' data teams on governance practices, data quality management, and stewardship models 

Your background 

• Bachelor's or master's degree in science, technology, engineering, mathematics, or information management 

• Deep expertise in data governance frameworks, with hands-on implementation experience using tools like Collibra, Alation, Informatica, Purview, or DataHub 

• Strong practical knowledge of DAMA-DMBOK framework and ability to adapt it to different organizational contexts 

• Proven track record conducting data environment assessments and maturity evaluations for large enterprises 

• Hands-on experience implementing metadata management, data lineage, and data cataloguing solutions at scale 

• Technical proficiency with data profiling, data quality tools, and master data management platforms 

• Experience with at least one major data platforms (Databricks, Snowflake, AWS, Azure, DataFabric) and understanding of their governance capabilities 

• Working knowledge of SQL, Python, or similar for data analysis and quality validation 

• Strong experience designing data operating models and organizational structures for analytics teams 

• 8+ years in data management consulting with direct client engagement and delivery accountability 

• Demonstrated ability to influence and advise senior executives on data strategy and governance investments 

• Excellence in creating and delivering executive presentations, turning technical concepts into business value stories 

• Experience managing complex stakeholder environments and driving consensus across business and IT teams 

• Track record of hands-on governance tool implementation, not just strategy documentation 

• Active engagement in data governance communities, certifications (CDMP, DCAM), and industry forums 

Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.

We see the diversity of our team as a strategic advantage, and we work actively to maintain it.

By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/