Technical Project Manager - Data
Listed on 2026-10-17
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IT/Tech
Data Engineering, Data Science Manager, Cloud Computing: Infrastructure & Operations, Data Analyst
One of Singapore’s leading telecommunications providers and a steward of national critical infrastructure. We’re more than a telco, we’re evolving into a cloud-first, AI-powered digital platform company delivering secure, smart, and seamless connectivity for millions. As a Technical Project Manager , you will be the connective tissue between business outcomes and technical execution, ensuring that DXP’s Customer 360’s data domain teams deliver reliable, scalable, and high-performing data and analytics platforms that underpin their customer and enterprise journeys.
Key responsibilities Drive agile ceremonies (sprint planning, stand-ups, retrospectives) and maintain team rhythm and cadence. Plan and execute phased delivery strategies across multiple environments (DEV/SIT/PROD) within AWS and Snowflake ecosystems. Track delivery health through velocity, throughput, data quality SLAs, and pipeline stability metrics. Identify and resolve blockers, risks, and cross-domain dependencies early. Communicate risks, decisions, and delivery trade-offs clearly across key stakeholders.
Drive adoption of agile, Data Ops, MLOps and cloud automation best practices across DXP Data teams.
The ideal candidate will have strong hands-on experience with agile project delivery in a Data Ops or cloud-native environment, preferably across data ingestion, transformation, and machine learning pipelines, with a solid understanding of Snowflake, AWS, CI/CD, MLOps and observability frameworks, and end-to-end delivery metrics. 8+ years of experience in data platform delivery, data ops & quality management, or analytics program management, with at least 3 years in a technical project management, delivery lead or scrum master capacity.
Proven track record managing data engineering teams delivering pipelines and analytics workloads via CI/CD within AWS and Snowflake architectures.. Proven experience coordinating ingestion, modeling, and ML engineering deliveries based on modern data tech stacks such as Snowflake, Apache Airflow, Airbyte, NiFi and AWS Sage Maker. Hands-on level familiarity with tools such as Jira, Confluence, Git Lab, Jenkins, , Snowflake, SQL, dashboarding.
Exceptional communication, facilitation, and stakeholder management skills. Bachelor’s degree in data science, Information Systems, Business Analytics or related field.
Help power the nation’s digital backbone through secure and resilient infrastructure Work on high-impact data ecosystems spanning data engineering, AI/ML, and customer intelligence. Be part of a fast-paced, innovation-driven culture that values agility and ownership Collaborate across multi-disciplinary teams to drive enterprise-wide data transformation at scale Build a career with purpose, where your work underpins national resilience and data-driven decision-making in everyday life
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