Data Manager

Jobtech Pte. Ltd.; Singapore; On-site; USD 70,000 - 110,000; Full time

Job summary

An innovative firm is seeking a Data Manager to lead their data function, driving impactful insights and managing a team of analysts. This role involves defining the data strategy, overseeing data quality, and collaborating with stakeholders to ensure analytics deliver value. The ideal candidate will have extensive experience in data management and analytics, with a strong focus on delivering actionable insights. Join a forward-thinking company that empowers individuals and organizations through AI-driven platforms, and play a crucial role in shaping the future of talent intelligence.

Qualifications

• 6 to 10 years of experience in data management and analytics roles.
• Proven success in delivering actionable insights and scalable data products.

Responsibilities

• Lead data function for talent intelligence products and manage a team.
• Define and implement data roadmap aligned with product goals.

Skills

SQL

Python

Dashboarding platforms (e.g. Metabase)

NLP techniques

Project management

Tools

Data ingestion and transformation pipelines

Automation workflows

Job description

About JobTech

At JobTech, we believe that staying employable in a fast-changing world shouldn't be left to chance. We build AI-powered platforms that help people and organisations stay ahead by connecting them to real opportunities based on live labour market needs and personal aspirations.

Powered by deep learning, generative AI, and one of the world's largest live labour market data engines, our platforms enable proactive talent development, career growth, and workforce transformation at scale.

In an uncertain world reshaped by AI, JobTech puts customers first; helping people stay employable today and ready to thrive in the work realities of tomorrow.

Role Summary

As our Data Manager, you will lead the data function powering JobTech’s talent intelligence products. You’ll manage a team of analysts and data engineers, while staying hands-on with high-impact analysis, dashboards, and partner reporting. You’ll drive the roadmap for how data supports the platform, influence product and campaign decisions, and ensure quality and reliability in all insight outputs.

Key Responsibilities

Product & Research (50%)

Data Strategy & Execution

• Define and implement the data roadmap aligned with JobTech’s products and campaign goals
• Own partner-facing dashboards, insight modules, and benchmarking tools.
• Collaborate with Product, Engineering, and Customer Success to ensure analytics deliver value.

Analysis, Insights & Reporting

• Lead end-to-end analytics projects; from requirement scoping to data extraction and storytelling.
• Develop and maintain data products (e.g. sector snapshots, proprietary indices, campaign ROI).
• Translate complex labour market trends into digestible insights for ecosystem stakeholders.

Data Infrastructure & Quality

• Oversee and optimise data ingestion and transformation pipelines in collaboration with Data Engineers.
• Oversee data sources (JobTech Labour Market Information (LMI), partner uploads, campaign metrics) and integrity.
• Maintain high data integrity, enforce governance standards for key metrics, and ensure reporting readiness.

Research Collaboration & IP Development

• Build and manage partnerships with universities, research institutes, and public sector collaborators.
• Co-create research frameworks and contribute to the development of new IP assets (e.g. new indices, skill taxonomies, predictive models).
• Support the drafting of grant applications, research proposals, and innovation showcase materials.
• Drive research-to-commercialisation efforts; turning research outputs into potential new revenue streams.

Customer (30%)
Stakeholder Engagement

• Collaborate with Customer Success on insight delivery, campaign reports, and partner success.
• Provide data-driven support for communications with strategic collaborators, customers, and partners.
• Develop standardised partner reporting templates and dashboards to enable faster and more consistent insight sharing.
• Support Quarterly Business Reviews (QBRs) and partner showcases by preparing strategic data insights, sector trends, and campaign outcomes.

People & AI - Hybrid Collaboration (20%)
Team Leadership & Coaching

• Lead a growing team of analysts and engineers with coaching, mentoring, and performance management.
• Foster a data-first culture that emphasises insight generation, operational rigour, and innovation.
• Develop internal data quality scorecards, insight cadences, and research publication cycles.

AI Agents, Collaboration & Framework Management

• Integrate AI agents into daily data workflows to enhance team productivity and insight generation.
• Design frameworks for effective Human-AI collaboration, ensuring responsible, efficient, and scalable use of AI agents.
• Continuously evaluate and optimise the team's use of emerging AI technologies to support faster analytics, reporting, and research activities.

Requirements
Experience (academic qualification intentionally left out)

• 6 to 10 years of relevant experience in data management, analytics, or insight-driven roles.
• Proven success delivering actionable insights, dashboards, and scalable data products in SaaS or ecosystem-driven environments.
• Hands-on leadership of data operations, pipelines, and stakeholder-facing analytics initiatives.
• Demonstrated ability to collaborate with research and public sector partners to develop IP assets and innovation outputs.
• Track record supporting customer success, product development, and partner engagement through data.

Skills

• Strong in SQL, Python, and dashboarding platforms (e.g. Metabase).
• Skilled at designing scalable data pipelines, automation workflows, and operational reporting systems.
• Excellent at translating complex data into visual stories and actionable insights.
• Proficient in prompt engineering and AI collaboration through strong logical communication.
• Experienced in cross-functional alignment with product, campaign, and customer success teams.
• Familiar with processing and analysing unstructured textual data using NLP techniques (e.g. entity extraction, text classification, topic modelling).

Soft Skills

• Highly organised, detail-oriented, and outcome-focused.
• Strategic thinker who connects data, product strategy, and customer outcomes.
• Strong project management skills, with the ability to coordinate across diverse stakeholder groups.
• Skilled at presenting complex technical findings to non-technical and executive audiences.

Information Security & Compliance Responsibilities

• Policy Adherence: Follow JobTech’s information security policies, procedures, and best practices consistently.
• Risk Management: Identify, assess, and mitigate security risks to safeguard sensitive and confidential information.
• Incident Response: Support the detection, reporting, analysis, and response to security incidents or breaches.
• Security Awareness: Participate in regular information security training and uphold best practices across all activities.
• Data Protection: Ensure the confidentiality, integrity, and availability of JobTech data and information assets.
• Regulatory and Legal Compliance: Adhere to all relevant legal, regulatory, and contractual obligations related to information security.
• Team Collaboration: Work closely with internal cross-functional teams to ensure integrated and consistent security measures.
• Confidentiality and Data Handling: Protect sensitive information and maintain strict confidentiality in line with JobTech’s data protection standards.
• Continuous Improvement: Stay current with evolving security threats and technologies, and contribute to strengthening JobTech’s overall security posture.

Bonus Traits

• Prior experience working on government-funded research, grant projects, or innovation IPs.
• Exposure to labour market or education data.
• Experience building reusable data products or toolkits.
• Contributor to internal knowledge base or data culture initiatives.
• Background as a researcher or data scientist, with strong applied data experience.