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Product Manager – Data & AI Platforms

SCIENTEC CONSULTING PTE. LTD.Singapore
Full-timeSenior
$5k - $10k
per year
👁️ 0 views📝 0 applicationsPosted 9/18/2026Expires 10/18/2026
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Job Description

We are looking for an experienced Product Manager to lead the development, enhancement, and operations of Data & AI platforms and digital products . You will work closely with business stakeholders, data teams, engineers, AI specialists, vendors, and cross-functional teams to deliver scalable, secure and user-centric solutions.

Working Hours

Mon-Fri Working Location: Central Job Type: Contract Salary Package: Up to $10,500 (basic) + AWS What You’ll Be Doing Define and drive the product vision, strategy, roadmap and priorities for Data & AI platforms and related digital products.

Manage the end-to-end product lifecycle , from discovery and requirements gathering through development, testing, implementation, enhancement and ongoing operations. Translate business needs and use cases into clear product requirements, user stories and technical delivery plans.

Work closely with data engineers, data scientists, AI/ML engineers, software engineers and designers to develop and enhance platform capabilities. Support the delivery of data platforms, analytics solutions, AI-enabled products, automation tools and intelligent services .

Drive experimentation and continuous improvement of AI and data-driven features based on user feedback, product metrics and business outcomes. Define and monitor product KPIs, adoption metrics, service performance and data quality indicators .

Collaborate with data teams to establish appropriate data collection, analytics, reporting and governance frameworks . Oversee the reliability and operational performance of live Data & AI platforms, including incident management, maintenance, upgrades and service improvements.

Coordinate security, compliance and technology assurance activities such as VAPT, Source Code Review, security assessments and performance testing . Ensure solutions comply with relevant data governance, cybersecurity, privacy, audit and regulatory requirements .

Manage product budgets, timelines, risks, dependencies, vendors and proc

Required Skills

AuditAWSCross-functional CollaborationCybersecurityData EngineeringKPI ManagementMachine LearningProduct ManagementRequirements GatheringSoftware Engineering

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