QS Quacquarelli Symonds

Performance Marketing

• Devising and delivering scalable performance marketing campaigns, as part of a holistic strategy to generate leads for QS Events
• Collaborating with marketing regional teams and directors to ensure performance marketing campaigns are aligned with business goals
• Introduce processes to improve campaigns’ management efficiency and eliminate overlapping actions
• Keeping track of QS Events campaigns’ performance and taking continuous optimization action to deliver scalable results
• Implement innovative audience strategies that drive prospects from awareness to engagement to conversion aiming at ameliorating the quality of leads
• Guide PPC executives on the latest AI advancements and proceed with a testing plan to unlock incremental value in campaigns’ performance
• Establish effective communication across teams and share actionable insights that shape a value-based strategy, by analysing historical data and current performance
• Any other duties that fall within the purpose and scope of the role

PPC Strategist

Data Engineer

• Architect and evolve QS’s enterprise data platform (AWS + Snowflake).
• Drive the transition toward modern data architectures (data platform, streaming pipelines, real-time scoring where relevant).
• Own standards for ingestion, transformation, orchestration, metadata, observability, and lineage.
• Build robust ETL/ELT pipelines for QS datasets across performance, recruitment, skills and innovation, including real-time student demand data, global workforce data and higher education rankings data.
• Implement scalable frameworks for data acquisition from surveys, universities, partners, and public sources.
• Ensure pipelines are cost-efficient, monitored, recoverable, and version-controlled.
• Establish enterprise-wide data quality metrics, monitoring systems, and remediation workflows.
• Implement governance frameworks aligned with QS’s methodologies and product/service requirements.
• Partner with Data Science, Technology and Product to standardize definitions, master data, and reference data models.
• Lead, grow, and mentor a global team of data engineers.
• Set clear engineering standards, code practices, review processes, and architectural guidelines.
• Build a culture of technical excellence, reliability, and delivery accountability.
• Partner with the Director of Data Science, Technology and Product Leads to align on priorities, platform capabilities, and data readiness.
• Translate business and methodological requirements into scalable data engineering solutions.
• Work with compliance and security teams on data privacy, PII handling, and regulatory alignment (GDPR, global privacy standards).
• Own and drive the multi-year data engineering roadmap.
• Introduce automation, ML-assisted data validation, and higher-frequency data refresh cycles to improve QS’s data competitiveness.
• Future-proof QS’s data stack to support new growth models

Head of Data Engineering

Customer Success Manager

• Design, build, and lead a world-class Customer Success function for QS.
• Ensure clients experience seamless, value-driven partnerships that deliver measurable impact.
• Drive client-centricity and embed insights into all client engagements.
• Create scalable Customer Success models that serve a diverse client base efficiently.
• Foster a culture of deep client understanding and partnership across all interactions.
• Position QS as a strategic advisor to clients by leveraging data and insights.

Global Director of Customer Success

• Lead in the architectural design, build, and delivery of scalable data pipelines, APIs, and services at the core of QS Cerebrum
• Build and own the data architecture and infrastructure for QS’s core products
• Ensure data ingestion, transformation, quality, governance, and delivery of all core QS datasets
• Define and embed engineering standards, governance and data quality measures into all pipelines
• Actively develop engineers to deliver a high-performance culture in Data and Analytics
• Collaborate with leaders across Data Science, Product and Technology to build the QS data platform
• Guide team members while contributing to QS’s long-term strategic objectives
• Own and drive the multi-year data engineering roadmap

Marketing

• Support the Head of Candidate Marketing in driving the global candidate marketing strategy
• Mentor and manage regional marketing directors
• Translate the global candidate marketing strategy into actionable regional plans
• Lead the development and implementation of candidate-centric marketing and social media plans
• Deliver insightful trend and data analysis to inform global strategy
• Monitor and report on the impact of new marketing initiatives on candidate quality
• Oversee optimization of marketing operations with a strong focus on candidate quality
• Act as a deputy and stand-in for the Head of Candidate Marketing as required.

PPC Strategist

Head of Data Engineering

Global Director of Customer Success

Head of Data Engineering

Deputy Head of Candidate Marketing