Technical Project Manager - Data

HackerTrail Singapore

About the role

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, DataOps, MLOps and cloud automation best practices across DXP Data teams.

What you’ll bring

The ideal candidate will have strong hands-on experience with agile project delivery in a DataOps 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 SageMaker.
• Hands-on level familiarity with tools such as Jira, Confluence, GitLab, Jenkins, Monday.com, Snowflake, SQL, dashboarding.
• Exceptional communication, facilitation, and stakeholder management skills.
• Bachelor’s degree in data science, Information Systems, Business Analytics or related field.

Benefits and perks

• 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

Skills

Required

ConfluenceStakeholder managementAWSGitlabJenkinsJIRAAgileSQLMonday.comSnowflake

Nice to have

PmpMlopsTelecommunicationsSAFeApache AirflowAWS Certified Solutions ArchitectNifiDevOpsAWS SageMakerDataOpsCI/CD

Your contact

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