Data Architect (AI insights)
Summary
Data Architect role driving AI strategy and insights for an automotive MNC in Singapore — designing scalable data architectures and pipelines, partnering with AI/ML teams to generate commercial insights, and ensuring data quality and governance across cloud environments.
About the job
A reputable MNC is looking for a Data Architect to join their team.
Your new role
As a Data Architect, you will be responsible for:
• Drives business‑focused AI strategy by understanding key commercial processes and identifying high‑value use cases.
• Translates business questions into clear data and analytical requirements aligned with commercial outcomes.
• Designs and maintains scalable, reliable data architectures and pipelines across multiple systems.
• Ensures data quality, governance, and cloud environment optimization for AI solutions.
• Partners with AI/ML teams to generate insights, validate outputs, and recommend actions.
• Measures value through KPIs, tracks impact, and communicates progress to leadership.
What you’ll need to succeed
• 5+ years of experience in automotive after‑sales operations.
• Deep commercial understanding across sales, pricing, channels, logistics, finance, and customer behavior.
• Strong data architecture skills, including pipeline design, data modeling, and cloud platforms.
• Hands‑on proficiency in SQL, Python, BI tools, and workflow automation.
• Solid grounding in AI and analytics, with ability to operationalize and validate models.
• Strong commercial mindset, systems thinking, and ability to communicate across business and technical teams.
• Combines business expertise with data engineering capability; pure technical or pure commercial profiles will not fit.
What you'll get in return
In return, you'll be part of an organization that values its employees. You’ll be rewarded with:
• Structured career growth and plenty of developmental opportunities
• Hybrid and stable working environment
What you need to do now
If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology contact Yuki Cheung or email [email protected]. Referrals are welcome.
At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse background to apply.
EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D