Data Project Manager (Data PM)
Important Information
Location: Singapore
12 months contract
Job Summary
We are seeking an experienced Data Project Manager (Data PM) to lead the successful delivery of data and analytics initiatives. The ideal candidate will manage end-to-end project execution, coordinate cross-functional data teams, and serve as the primary liaison between business stakeholders and technical teams. This role requires strong project management expertise, experience with Google Cloud Platform (GCP) data technologies, and a solid understanding of Generative AI, Agentic AI, and Large Language Model (LLM)-based solutions. The Data PM will be responsible for ensuring projects are delivered on time, within scope, and aligned with business objectives.
Roles & 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 (GCP).
- 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.
Required Skills & Qualifications
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.
- Proven experience managing end-to-end data, analytics, or AI projects.
- Strong understanding of Google Cloud Platform (GCP) data services and modern cloud data architectures.
- Experience working with data engineering, ETL, data warehousing, and analytics platforms.
- Good understanding of Generative AI, Agentic AI, and Large Language Model (LLM) 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.
- Excellent communication, presentation, and leadership skills.
- Proficiency with project management tools such as Jira, Confluence, Azure DevOps, or equivalent.
Preferred Skills
- PMP, PRINCE2, Scrum Master, or Agile certifications.
- Experience with GCP services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Vertex AI, and Cloud Composer.
About Encora
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.
At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Skills Required
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.
- Proven experience managing end-to-end data, analytics, or AI projects.
- Strong understanding of Google Cloud Platform (GCP) data services and modern cloud data architectures.
- Experience working with data engineering, ETL, data warehousing, and analytics platforms.
- Good understanding of Generative AI, Agentic AI, and Large Language Model (LLM) 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.
- Excellent communication, presentation, and leadership skills.
- Proficiency with project management tools such as Jira, Confluence, Azure DevOps, or equivalent.
- PMP, PRINCE2, Scrum Master, or Agile certifications.
- Experience with GCP services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Vertex AI, and Cloud Composer.
Encora Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.
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Healthcare Strength — Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
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Leave & Time Off Breadth — Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
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Flexible Benefits — Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.
Encora Insights
What We Do
Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology
