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 workflowsChampion a culture where human expertise and automation work hand in hand for high-quality, scalable outcomesData Management & OperationsOwn 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 demandsAnalytics & Product InsightLead 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 satisfactionBuild 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 teamsLead and mentor a cross-functional team of data professionalsFoster a collaborative, high-growth culture with clear goals and development opportunitiesWhat You Bring
Experience & Education3+ 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 plusTrack record of translating data strategy into measurable business valueTechnical ProficiencyExpertise in SQL, Python, R, Spark, Airflow, and modern data toolkits
Hands-on experience with data visualization platforms like Tableau or Power BIExperience working with unstructured text / media data and knowledge graphs is highly valuedFamiliarity with our broader tech stack to coordinate effectively with engineering : React, Node.js, Neo4j, Elasticsearch, Kubernetes, Terraform (Nice-to-have)Business & Communication SkillsStrong analytical and storytelling skills, with the ability to influence at all levels
Collaborative, pragmatic, and outcome-focused mindsetPassion for solving complex problems in creative and scalable waysIntellectual curiosity and adaptability in a fast-moving environmentWhat We Offer
A leadership role shaping the data future of a global SaaS companyCompetitive salary and performance bonusWe strive to be the best place you will ever work for20 days of annual leaveFlexible hybrid working (3 days WFO, 2 days WFH)Exposure to international projects and HQ collaboration in SingaporeFlat structure with direct access to company leadershipRapid skill-building and cross-functional learning opportunitiesInterview Process :
2nd round - Online Technical interview : 1 hour3rd round - In-person Culture-fit interview : 1 hourFinal round - Online interview : 45 minutesJ-18808-Ljbffr
