Technical Project Manager - Data

HackerTrail; Singapore; On-site; SGD 130,000 - 170,000; Full time

Benefits offered by this job

Impactful work

Cutting-edge data ecosystems

Innovative culture

Cross-team collaboration

Job summary

HackerTrail is seeking a Technical Project Manager in Singapore to bridge business outcomes with technical execution for Data + Analytics platforms. You will drive agile ceremonies, plan multi-environment delivery in AWS and Snowflake, and monitor data quality and pipeline health across the organization.

The role requires 8+ years in data platform delivery or analytics program management with hands-on experience in Snowflake, AWS, CI/CD and MLOps, plus strong stakeholder management and

Qualifications

• 8+ years in data platform delivery or analytics program management.
• Hands-on experience with Snowflake, AWS, CI/CD, MLOps and observability frameworks.
• Experience coordinating ingestion, modeling, and ML deliveries using modern data tech stacks.
• Proficient in Jira, Confluence, GitLab, Jenkins, Monday.com; strong communication.

Responsibilities

• Lead agile ceremonies and maintain team rhythm.
• Plan phased delivery across DEV/SIT/PROD environments in AWS and Snowflake.
• Monitor delivery health via velocity, throughput, and data quality SLAs.
• Identify blockers and risks; communicate trade-offs to stakeholders.
• Drive DataOps, MLOps, and cloud automation best practices.

Skills

Agile project delivery

DataOps

Cloud-native

Snowflake

AWS

CI/CD

MLOps

Observability

Stakeholder management

Data pipelines

Education

Bachelor's degree in data science / IS / related field

Tools

Jira

Confluence

GitLab

Jenkins

Monday.com

Snowflake

SQL

Dashboarding

Job description

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