Head of Data Management (Hybrid)

The Stakeholder Company; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Job summary

A global SaaS company seeks a Head of Data to lead their data strategy and oversee data governance, analytics, and team management. The role combines technical expertise with strategic insight, ensuring the maintenance of high-quality data infrastructure. This position offers a competitive salary, flexible working arrangements, and significant exposure to international projects.

Benefits

20 days of annual leave

Flexible hybrid working (3 days WFO, 2 days WFH)

Competitive salary and performance bonus

Rapid skill-building and cross-functional learning opportunities

Qualifications

• 3+ years in data leadership roles, preferably in SaaS or analytics.
• Hands-on experience with data visualization platforms like Tableau or Power BI.
• Track record of translating data strategy into measurable business value.

Responsibilities

• Lead data strategy and oversee the full data lifecycle.
• Manage data governance, privacy, and quality frameworks.
• Build and manage relationships with key external data set providers.

Skills

SQL

Python

Data Visualization

Analytical Skills

AI Solutions

Education

Degree in Computer Science

Advanced degrees in quantitative fields

Tools

Tableau

Power BI

Airflow

Spark

Job description

About TSC
The Stakeholder Company (TSC) is a global SaaS company that helps organizations make sense of a complex world through stakeholder intelligence and media monitoring. Our platform, Genie, delivers real-time insights and engagement workflows by mapping relationships, surfacing emerging issues, and tracking stakeholder movements across sectors and geographies. We support Fortune 500 companies, multilaterals, and NGOs across 100+ countries and 20+ industriesempowering them to engage smarter, respond faster, and act with confidence.

About the Role
Data is the foundation of everything we do at TSC. Were hiring a visionary Head of Data to lead our data strategy, systems, and team. This role blends technical leadership with strategic insight, overseeing the full data lifecycle, from acquisition and quality to governance and analytics, and unlocking new value from our fast-growing, globally sourced datasets. You understand the possibilities and challenges that are uncovered by modern AI solutions.

Youll report directly to the Head of Engineering, with direct access to the CEO and leadership team, working across departments to ensure that Genies data infrastructure and insight engine remain best-in-class.

What Youll Do

• Strategic & Technical Leadership
• Execute and evolve our data roadmap with a focus on innovation, quality, and customer value
• Design and deliver scalable data products and pipelines that power Genies insights and stakeholder intelligence workflows
• Champion a culture where human expertise and automation work hand in hand for high-quality, scalable outcomes
• Data Management & Operations
• Own data governance, privacy, and quality frameworks that support regulatory and enterprise-grade standards
• Manage the acquisition and integration of strategic external data sources (e.g., media, government, regulatory, industry, and organizational datasets)
• Ensure our data architecture scales with business growth and system performance demands
• Analytics & Product Insight
• Lead internal BI and analytics initiatives across all functions
• Identify innovative ways to leverage our data assets to build new product lines with a focus on quality and customer satisfaction
• Build and manage relationships with key external data set providers (media aggregators, social feeds, etc.)
• Evangelize data-driven decision-making across product, customer success, engineering, and executive teams
• Lead and mentor a cross-functional team of data professionals
• Foster a collaborative, high-growth culture with clear goals and development opportunities

What You Bring

• Experience & Education
• 3+ years in data leadership roles, preferably in SaaS, analytics, or stakeholder/media-centric platforms
• Degree in Computer Science, Data Science, Information Systems, or related field; advanced degrees in quantitative fields are a plus
• Track record of translating data strategy into measurable business value
• Technical Proficiency
• Expertise in SQL, Python, R, Spark, Airflow, and modern data toolkits
• Hands-on experience with data visualization platforms like Tableau or Power BI
• Experience working with unstructured text/media data and knowledge graphs is highly valued
• Familiarity with our broader tech stack to coordinate effectively with engineering: React, Node.js, Neo4j, Elasticsearch, Kubernetes, Terraform (Nice-to-have)
• Business & Communication Skills
• Strong analytical and storytelling skills, with the ability to influence at all levels
• Collaborative, pragmatic, and outcome-focused mindset
• Passion for solving complex problems in creative and scalable ways
• Intellectual curiosity and adaptability in a fast-moving environment

What We Offer

• A leadership role shaping the data future of a global SaaS company
• Competitive salary and performance bonus
• We strive to be the best place you will ever work for
• 20 days of annual leave
• Flexible hybrid working (3 days WFO, 2 days WFH)
• Exposure to international projects and HQ collaboration in Singapore
• Flat structure with direct access to company leadership
• Rapid skill-building and cross-functional learning opportunities
  

Interview Process:

• 2nd round - Online Technical interview: 1 hour
• 3rd round - In-person Culture-fit interview: 1 hour
• Final round - Online interview: 45 minutes