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Encora

Global digital engineering services provider

Data Project Manager - Data PM

Project ManagementConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field is required.
  • Proven experience managing end-to-end data, analytics, or AI projects.
  • A strong understanding of Google Cloud Platform data services and modern cloud data architectures.
  • Experience working with data engineering, extract, transform, and load (ETL), data warehousing, and analytics platforms.
  • A good understanding of Generative AI, Agentic AI, and Large Language Model solutions and their enterprise applications.
  • Strong project planning, effort estimation, risk management, and stakeholder management skills.
  • Experience working in Agile/Scrum environments and managing cross-functional technical teams.
  • Proficiency with project management tools such as Jira, Confluence, Azure DevOps, or equivalent.

Responsibilities

  • Lead and manage end-to-end data projects, including planning, scope definition, resource allocation, execution, delivery, and project closure.
  • Define project timelines, milestones, deliverables, and success criteria while ensuring adherence to budget and schedule.
  • Perform effort estimation for data engineering, analytics, AI, and data platform initiatives, ensuring accurate project planning and resource utilization.
  • Define technical scope in collaboration with architects, data engineers, and solution teams to ensure alignment with business objectives.
  • Act as the primary point of contact between business stakeholders and technical teams, translating business requirements into scalable data solutions.
  • Manage project risks, issues, dependencies, and scope changes while providing regular status updates to stakeholders and senior leadership.
  • Lead and coordinate cross-functional data teams, including Data Engineers, Data Analysts, Data Scientists, ML Engineers, and Architects.
  • Remove project blockers, facilitate technical discussions, and ensure timely decision-making to keep projects on track.
  • Review technical designs, project deliverables, and solution approaches to ensure quality, scalability, and alignment with architectural standards.
  • Drive Agile project delivery by facilitating sprint planning, backlog prioritization, stand-ups, retrospectives, and release planning.
  • Collaborate with engineering teams to ensure successful implementation of data pipelines, analytics platforms, and AI/ML solutions on Google Cloud Platform.
  • Support the adoption and delivery of Generative AI, Agentic AI, and LLM-based solutions by coordinating technical teams and business stakeholders.
  • Monitor project KPIs, resource utilization, and delivery metrics to continuously improve project execution and team performance.
  • Prepare executive-level presentations, project reports, dashboards, and governance updates for leadership and stakeholders.
  • Ensure compliance with organizational governance, security, and data management standards throughout the project lifecycle.

Desired Qualifications

  • PMP, PRINCE2, Scrum Master, or Agile certifications.
  • Experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Vertex AI, and Cloud Composer.

About the Company

Encora

Global digital engineering services provider

Encora offers global digital engineering services, including software product engineering, cloud services, data science, and quality engineering. It works through nearshore and offshore teams in Latin America and India to provide cost-effective software development and IT consulting for industries like financial services, healthcare, retail, and technology. The company differentiates itself with a scalable global delivery model, access to large pools of software engineers, and backing from Advent International to support growth. Its goal is to help clients accelerate their digital transformation by delivering practical, scalable engineering services at a lower cost.

Company size
5,001-10,000
Company stage
Acquired
Total funding
$215M
Headquarters
Scottsdale, AZ
Founded
2003

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