Manager, Platforms & Data - Indonesia

DHC Partners; Tangerang; Hybrid; IDR 35,000,000 - 60,000,000; Full time

Job summary

DHC Partners seeks a Manager, Platforms & Data to lead its internal data, cloud, and engineering-platform products. You will steer roadmaps, ensure adoption and strong user experience, and collaborate with IT and security to deliver reliable services.

This senior role requires guiding platform strategy across data and cloud domains. You will build AI-enabled data capabilities, improve time-to-value, and drive cost efficiency while ensuring governance and high-quality delivery for delivery teams

Qualifications

• Requires experience leading internal data and platform products with demonstrable adoption and value.
• Ability to govern data and cloud platforms across multiple teams and domains.
• Experience with AI-enabled data platforms and delivering scalable analytics services.

Responsibilities

• Set priorities across data, cloud, and engineering-platform roadmaps.
• Hold product and service owners accountable for adoption, UX, reliability, and performance.
• Improve platforms based on adoption, value, and cost efficiency; retire offerings when needed.
• Develop reusable data and AI-ready platform capabilities for analytics and AI services.
• Collaborate with IT Architecture and cybersecurity to ensure robust integration and controls.
• Oversee external partners for quality delivery and effective vendor management.
• Drive cost-effective technology strategies and improve cloud cost management.

Skills

Leadership

Data platforms

Cloud

AI-enabled services

Education

Engineering or related field

Job description

The Manager, Platforms & Data leads the internal data, cloud, and engineering-platform products that help Client’s teams turn operational data into better decisions and scale digital products, analytics, and AI. The role is accountable for the direction and performance of the platform portfolio, ensuring shared capabilities provide a clear value proposition, reliable service, and a strong user experience for delivery teams and business users.

• Set priorities across data, cloud, and engineering-platform roadmaps, aligning shared capabilities with user needs and the business outcomes they enable.
• Hold product and service owners accountable for adoption, user experience, reliability, and performance throughout each product’s lifecycle.
• Continuously improve platforms based on adoption, time to value, reuse, service reliability, and economics, changing or retiring offerings that no longer justify investment.
• Build trusted, reusable data and AI-ready platform capabilities that enable teams to develop and scale analytics, models, and AI-enabled services.
• Work with domain leaders and data stewards to establish source-data ownership and improve the quality needed for priority products and use cases.
• Partner with IT Architecture on technology and integration patterns, and with cybersecurity teams to build appropriate controls into platform services.
• Oversee external technology partners to ensure quality delivery, successful implementation, and effective knowledge transfer, while collaborating with relevant stakeholders on vendor selection, contract management, and project funding.
• Develop cost-effective technology strategies by evaluating commercial solutions and internal development opportunities, while improving cloud cost management, resource utilization, and financial transparency.
• Develop data and platform capability, improve engineering and service performance, and lead practical use of AI in delivery and operations.

Role Requirements:

• Relevant education in engineering, computer science, information systems, or a related discipline, or equivalent demonstrated experience.
• Minimum 7 – 10 years of relevant experience, including substantial leadership of internal data and platform products with demonstrable adoption and value, and leadership of data and cloud or engineering-platform teams.
• Experience directing external partners, improving shared-service performance, building AI enabling data and platform capabilities, and using AI to improve engineering or operations.
• Experience in mining, processing, energy, manufacturing, or another asset-intensive environment is advantageous; proven leadership of platform and data products and teams is the key requirement.

Please note that only shortlisted candidates will be contacted for the next stage of the selectionprocess.