Technical Project Manager – Data Analytics

ANCHOR GLOBAL CONSULTING PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ANCHOR GLOBAL CONSULTING PTE. LTD. seeks a hands-on Technical Project Manager to drive delivery of cloud, data, analytics and software programmes.

You will coordinate multiple technical workstreams, manage delivery plans, dependencies, risks and issues, and collaborate with architects, engineers, QA, operations, vendors and client stakeholders across planning, build, testing, deployment and handover. This role focuses on executing large-scale data platform programmes and other initiatives

Qualifications

• 5-8 years of experience managing technology implementation projects.
• Experience delivering cloud, data platform, analytics or enterprise integration projects.
• Strong planning, communication and problem-solving skills.

Responsibilities

• Own and maintain end-to-end project plan, schedule, milestones and risk tracking.
• Coordinate technical workstreams across data engineering, cloud/platform, software and testing.
• Translate scope and requirements into practical delivery plans with technical leads.
• Drive governance, status reporting and blockers escalation.
• Coordinate SIT/UAT, security testing and production readiness activities.
• Maintain project documentation, RAID logs and handover materials.

Skills

Project management

Agile / Scrum

Stakeholder management

Technical leadership

Tools

AWS

Databricks

Snowflake

Tableau

Job description

We are looking for a hands-on Technical Project Manager to support the delivery of strategic cloud, data, analytics and software implementation programmes. The role will coordinate multiple technical workstreams, manage delivery plans, dependencies, risks and issues, and work closely with architects, engineers, QA, operations teams, vendors and client stakeholders across planning, build, testing, deployment and handover.

This role is expected to provide strong execution support for large-scale data platform programmes, and other ad hoc or short-cycle initiatives where structured PM coordination is required.

Responsibilities:

• Own and maintain the end-to-end project plan, schedule, milestones, dependencies, risks, issues, decisions and action tracking.


• Coordinate technical workstreams across data engineering, cloud/platform, software implementation, integration, testing, security, production readiness and operational handover.


• Work with technical leads and architects to translate scope, requirements and solution direction into practical delivery plans and execution steps.


• Drive stakeholder meetings, governance cadence, status reporting, decision tracking and timely escalation of blockers.


• Coordinate SIT, UAT, security testing, production readiness, cutover and operations transition activities.


• Maintain project documentation, delivery evidence, change records, RAID logs, governance artefacts and handover materials.


• Support effort planning, resource tracking, vendor coordination, progress monitoring and change request / variation support where required.

Requirements:

• Minimum 5-8 years of experience managing technology implementation projects, preferably as a Project Manager, Technical Project Manager or Delivery Manager.


• Experience delivering cloud, data platform, analytics, enterprise application or system-integration projects.


• Good understanding of the software / data delivery lifecycle, including requirements, design, build, testing, deployment and support transition.


• Practical exposure to AWS, data warehousing, Databricks, Snowflake, Tableau, enterprise reporting / analytics platforms, or comparable enterprise technologies.


• Experience working with Singapore public-sector, government, aviation, transport or other regulated clients is preferred.


• Strong planning, stakeholder management, communication, documentation and problem-solving skills.


• Able to manage several technical workstreams concurrently in a fast-paced environment.


• Comfortable working with technical teams and discussing architecture, data pipelines, environments, testing, deployment and operational readiness at a practical delivery level.


• Strong ownership and follow-through, with the ability to anticipate dependencies and resolve issues early.

MUST HAVE:

• PMP, PRINCE2, Agile / Scrum, cloud, data or AI-related certification(s).


• Experience with commercial tracking, change requests, VO / SR support, vendor management or resource management.


• Experience in large-scale managed services, operations transition, security testing coordination or production cutover.


• Familiarity with data governance, data integration, dashboards, reporting and analytics delivery.