AI Product Leader: Transforming Construction Workflows

SURBANA JURONG CONSULTANTS PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

Application generator

Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

SURBANA JURONG CONSULTANTS PTE. LTD. seeks a product leader to drive AI-enabled product strategy and delivery across SJ Group’s business units.

You will translate design, tendering, construction management, and document-intelligence workflows into adopted products, partnering with AI engineers, data teams, and stakeholders from problem definition to production launch. We value fluency in applied AI, strong stakeholder management, and experience turning complex workflows into executable product

Qualifications

A track record of delivering digital or workflow products end to end - from problem definition through to launch and adoption - whether in a dedicated product role or by leading product-like initiatives inside your current team.
Demonstrated fluency in applied AI, including generative AI, retrieval, workflow automation, and intelligent decision-support patterns.
Strong structured problem-solving and stakeholder management skills, comfortable operating in ambiguous, cross-functional environments.
Working knowledge of how SJ Group delivers - the business units, workflows, and project realities these products will serve - and the ability to turn that into execution-ready product artifacts with Agile teams.
It will be advantageous if you have hands-on experience in AEC, infrastructure, real estate, or another complex, workflow-heavy business line.
It will be advantageous if you have exposure to enterprise AI products, AI governance, model evaluation, or transformation programmes.

Responsibilities

Identify high-value AI use cases across design, tendering, construction management, and document intelligence, and define product vision, roadmap, and success metrics across SJ Group’s business units (BUs).
Translate ambiguous workflow pain points into clear product requirements, user stories, and release scopes for engineering teams.
Partner with AI engineers, data teams, designers, and business stakeholders to take products from concept through to production launch.
Balance experimentation with delivery discipline, deciding what to automate, what to keep human-in-the-loop, and what is not worth building.
Structure ambiguous problems with a consulting-led approach and communicate direction, AI risks, and business value to executive and operational stakeholders.
Embed model evaluation, explainability, safeguards, and governance into product design and rollout.
Define and monitor KPIs for adoption, cycle-time reduction, quality uplift, and user satisfaction, iterating post-launch.