Manager Research & Data Management

MINDFULL COMMUNITY LIMITED; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A community-focused organization in Singapore seeks a Manager for Research & Data Management. This role involves leading research projects, ensuring compliance with ethical standards, and analyzing data to provide actionable insights for stakeholders. The ideal candidate will have 5–7 years of experience in research or data analytics, proficiency in data tools like Excel and statistical software, excellent analytical and communication skills, and a detail-oriented approach to project management.

Qualifications

• 5–7 years of experience in research, data analytics, or evaluation.
• Strong knowledge of quantitative and qualitative research methods.
• Proficient in various data tools and comfortable with numerical and textual data.

Responsibilities

• Manage and deliver research and evaluation projects.
• Ensure compliance with research ethics and data privacy.
• Lead data analysis and produce clear reports for stakeholders.
• Engage with stakeholders to understand data needs and manage expectations.
• Identify process improvement opportunities within RDM workflows.

Skills

Sampling

Quality Control

Process Improvement

Data Management

Data Governance

Stakeholder Engagement

Data Analytics

Data Visualisation

Education

5–7 years’ relevant experience in research or data analytics

Tools

Excel

Statistical Software

Survey Platforms

Data Visualisation Tools

Job description

Roles & Responsibilities

Job Title: Manager, Research & Data Management (RDM)

Reports to: Deputy Head, RDM

About the role

The RDM Manager is responsible for managing day-to-day research, data and measurement projects within the RDM function. The role translates departmental plans into concrete project scopes and timelines, oversees execution, and ensures that research and data outputs are robust, timely and usable by operations and service teams.

Responsibilities

The role contributes to Mindfull’s community mental health mission by ensuring that research, evaluation and data initiatives are well‑planned, well‑executed and practically useful for decision‑making.

• Manage research and evaluation projects
  Plan, coordinate and deliver research and evaluation projects (e.g. outcomes studies, programme evaluations, needs assessments), including defining scope, methodology, timelines and resource requirements.
• Ensure methodological rigour and ethical practice
  Develop and/or adapt research instruments, sampling approaches and analysis plans; ensure compliance with research ethics, data privacy and organisational policies.
• Lead analysis and reporting
  Clean, manage and analyse quantitative and qualitative data; produce reports, dashboards and presentations that translate findings into clear insights and practical recommendations for programme and corporate stakeholders.
• Support data systems and governance
  Work with IT and relevant teams to improve data collection processes, data quality checks and documentation; apply agreed data standards, and identify internal policies and SOPs for data governance, research ethics, data privacy, and dissemination.
• Stakeholder engagement and coordination
  Liaise with Programme/Services, Comms, HR, Finance and other functions to understand data and research needs, manage expectations and ensure project deliverables are aligned and useful.
• Process improvement and capability‑building
  Identify opportunities to streamline RDM workflows, templates and reporting; contribute to data literacy and evidence‑use initiatives as assigned by the Deputy Head.

Requirements

• 5–7 years’ relevant experience in research, data analytics, evaluation, public policy or related fields, preferably with exposure to social services, healthcare or public sector settings.
• Strong working knowledge of research methods and/or evaluation frameworks (quantitative and/or qualitative), including hands‑on experience in designing studies, managing data and conducting analyses.
• Proficient in data tools (e.g. Excel, statistical software, survey platforms, data visualisation tools) and comfortable working with both numerical and textual data.
• Demonstrated experience leading projects or workstreams, including planning, coordinating stakeholders and delivering outputs to agreed timelines and quality.
• Strong analytical, problem‑solving and conceptual skills, with the ability to translate data into clear, actionable insights for non‑technical audiences.
• Good written and verbal communication skills, with experience preparing structured reports and presentations.
• Organised and detail‑oriented, able to manage multiple concurrent projects and deadlines.
• Experience in supervising junior staff or interns will be an advantage.

Tell employers what skills you have

• Sampling
• Quality Control
• Process Improvement
• Literacy
• Public Policy
• Healthcare
• Social Services
• Data Management
• Public Sector
• Data Quality
• Data Governance
• Stakeholder Engagement
• Mental Health
• Data Analytics
• Data Visualisation