Data Project Custodian

TATA CONSULTANCY SERVICES ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A leading consultancy firm in Singapore is seeking a Data & Analytics IT Project Manager. In this role, you will lead and deliver data-driven projects, ensuring alignment with business objectives. You will manage cross-functional teams, oversee project execution, and ensure the successful delivery of analytics solutions. The ideal candidate will have robust project management experience and preferably certifications in PMP or equivalent.

Qualifications

• 8+ years of experience in IT project management, with at least 5 years in data and analytics projects.
• Strong understanding of data management, warehousing, business intelligence, and cloud data platforms.
• Certifications such as PMP, CSM, or equivalent are highly desirable.

Responsibilities

• Lead end-to-end project management for data and analytics initiatives.
• Develop and manage detailed project plans, schedules, budgets.
• Coordinate with stakeholders to define project objectives and deliverables.

Skills

Project Management

Data Analysis

Stakeholder Management

Agile Methodologies

Data Management

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field

Tools

Jira

MS Project

Job description

Role

Data & Analytics IT Project Manager

Technical Skill Set

Data platforms (Azure, GCP, AWS), BI tools, SQL, Project Management

Experience Range

15+ years (with 5+ in Data & Analytics projects)

Certifications

PMP, CSM, PSM, Prince 2

Location

Singapore

1. Role Overview

The Data & Analytics IT Project Manager leads and delivers data-driven projects, ensuring alignment with business objectives and managing cross-functional teams to deliver analytics solutions on time and within budget. This role requires a blend of technical expertise, project management skills, and business acumen to drive successful outcomes in data and analytics initiatives.

2. Key Responsibilities

• Lead end-to-end project management for data and analytics initiatives, from scoping and planning to execution and delivery.
• Develop and manage detailed project plans, schedules, budgets, and resource allocations.
• Coordinate with stakeholders to define project objectives, deliverables, and success criteria.
• Oversee the implementation of data management, analytics, and reporting solutions, ensuring data quality, security, and compliance.
• Facilitate Agile ceremonies (Scrum, Kanban) and promote iterative, transparent delivery.
• Identify and mitigate project risks, resolve issues, and ensure timely communication with all stakeholders.
• Prepare and present project status reports, executive summaries, and key performance metrics.
• Foster a collaborative environment, mentor team members, and drive continuous improvement in project delivery.

3. Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field.
• 8+ years of experience in IT project management, with at least 5 years in data and analytics projects.
• Strong understanding of data management, data warehousing, business intelligence, and data platforms (e.g., Azure, GCP, AWS, Power BI, BigQuery etc.).
• Proficiency in project management methodologies (Agile, Scrum, Kanban, Waterfall).
• Experience with project management tools (Jira, MS Project, etc.).
• Excellent communication, stakeholder management, and leadership skills.
• Certifications such as PMP, CSM, or equivalent are highly desirable.

4. Preferred Experience

• Managing large-scale, multi-geography data and analytics projects.
• Working with cross-functional teams including data engineers, analysts, and business stakeholders.
• Implementing data governance, security, and compliance frameworks.
• Delivering projects in regulated industries (e.g., finance, healthcare, retail).
• Familiarity with cloud data platforms and modern data architectures.

5. Key Competencies

• Strategic thinking and problem-solving.
• Strong organizational and planning skills.
• Ability to drive results in a fast-paced, dynamic environment.
• Adaptability and continuous learning mindset.
• High attention to detail and quality.