DataTech Center Manager

Univerz HR Consulting Pte Ltd; Singapore; On-site; SGD 100,000 - 125,000; Full time

Job summary

A technology consultancy in Singapore seeks a high-level Technical Leader to define strategic architecture for IoT systems. The role includes leading teams, setting technology roadmaps, and ensuring product delivery aligned with customer needs and market trends. The ideal candidate has extensive experience with distributed systems and product-driven engineering, focusing on high concurrency and edge computing. Strong leadership skills to build and manage teams across diverse landscapes are essential.

Qualifications

• Proven ability to lead design and evolution of large-scale distributed system architectures.
• Deep understanding of the 'device–edge–cloud' architecture.
• Strong product mindset to deliver user-centric solutions.

Responsibilities

• Define a technology roadmap for 3–5 years.
• Lead edge–cloud architecture strategy for seamless integration.
• Work closely with product teams to understand market dynamics and customer pain points.

Skills

Strategic Technical Leadership

IoT & Domain Expertise

Product-Minded Engineering

Understanding of AI 2.0

Job description

1. Key Project ExperienceRequirements

Must-have:

• Strategic Technical Leadership: Proven ability to lead the design and evolution of large-scale distributed system architectures, especially for high-concurrency IoT data processing. Not just delivering features, but ensuring system scalability, security, and stability.
• IoT & Domain Expertise: Deep understanding of the “device–edge–cloud” architecture. Experience coordinating cross-functional software and hardware teams; capable of defining device access standards and edge computing strategies, and resolving data consistency challenges in unstable network environments.
• Product-Minded Engineering (Product Thinking): Strong product mindset, able to lead teams to deliver solutions with real value from the perspective of end users (B2C) or enterprise customers (B2B).
• Strong Understanding of AI 2.0: Solid understanding of current LLMs as well as traditional AI 1.0 / machine learning approaches, especially applications involving time-series data.

Preferred:

• Software background in energy storage, photovoltaics, new energy, or related industries.
• Experience leading the architectural evolution of IoT or energy-related PaaS/SaaS platforms, with hands-on experience handling massive device connectivity and data volumes.
• Experience managing cross-border or multinational teams, with the ability to build efficient communication mechanisms between global strategy and local R&D centers.

2. Core Responsibilities

1) Architecture Strategy & Technology Roadmap

• Define a 3–5 year technology roadmap.
• Own architectural decision-making, covering microservice decomposition, API standardization, Infrastructure as Code (IaC), and distributed system patterns.
• Ensure high-concurrency processing capabilities to support real-time IoT data streams (target: millions of devices, sub-second latency).
• Establish and track non-functional requirements: scalability targets, reliability SLAs (99.99%+), security baselines, and disaster recovery objectives.
• Drive technical due diligence to support partnerships and platform integrations aligned with business growth.
• Align technology strategy with business expansion across Asia-Pacific, Europe, and emerging markets.

2) IoT and Edge–Cloud Integration

• Lead edge–cloud architecture strategy to ensure seamless integration between ESS device hardware and cloud platforms.
• Define device access standards and communication protocols suitable for unreliable and bandwidth-constrained networks.
• Architect data consistency across distributed edge devices and cloud infrastructure, including fault tolerance and graceful degradation.
• Establish hardware–software collaboration mechanisms: firmware update strategies, device diagnostics, OTA (over-the-air) upgrades, and device authentication.
• Advocate for network-resilient designs to handle intermittent connectivity, geographic distribution challenges, and latency-sensitive operations.
• Own edge computing strategy decisions: what should be computed on-device versus in the cloud, and why.

3) Product-Driven Technology Leadership

• Work closely with product teams to understand customer pain points, market dynamics, and competitive landscape.
• Translate business requirements into clear technology strategies with documented trade-offs.
• Lead technical design reviews to evaluate architectural robustness and the potential for real user/customer value delivery.
• Foster product thinking within engineering leadership; help engineers understand the business impact of technical decisions.
• Champion data-driven technical decision-making, using customer feedback, usage metrics, and system telemetry to guide platform evolution.
• Own roadmap prioritization: balance technical debt repayment, infrastructure investment, and feature delivery to maximize business value.

3. Key Performance Expectations

• Product Definition: Deeply learn the business and define software products jointly with front-line business teams.
• Product Delivery: Ensure core software products are delivered on time and with high quality.
• Team Enablement & Building: Build a lean, high-performing team with a strong talent pipeline; increase talent density and lead the team effectively.