As a Senior Manager, Enterprise Data you’ll own and scale the central “hub” of our enterprise data ecosystem, overseeing the data warehouse, ingestion, and transformation processes to deliver trusted, well-governed data that powers decision-making across the business. You’ll implement best practices for data modeling, ensuring pipelines are organised, secure, reliable and scalable while partnering with cross-functional teams.
This role is pivotal in balancing strategic management with hands-on execution , ensuring that our data initiatives are not only well-planned but also effectively implemented. The Data & Analytics Manager will oversee the entire lifecycle of data products, from ideation and development to deployment and optimization. This position requires a unique blend of technical expertise, strategic thinking, critical analysis, and leadership skills to drive the successful execution of data-driven initiatives while also being actively involved in day-to-day operations.
Drive the company-wide experimentation framework, fostering a culture of hypothesis-driven development to accelerate product growth and enhance the customer experience. Define and own the company-wide experimentation strategy and roadmap, ensuring alignment with business objectives and product goals. Oversee the end-to-end experimentation lifecycle, from prioritizing ideas to experiment design, testing, and implementation.
Manage the complete Data Lifecycle and lead our data initiatives, overseeing the entire data lifecycle, from data generation to ETL pipelines and data enablement. Understand the technical architecture/infrastructure that supports the organization's data needs, including storage, integrations, and analytics platforms. Work with technical and business teams to understand their data needs and priorities, effectively communicating the value of data initiatives.
Lead execution across the Data Science organization, ensuring our vision translates into consistent, high-quality delivery. This role combines people leadership, agile delivery management, and cross-functional coordination. You’ll manage a team of 6–9 machine learning and data engineers and serve as a bridge between Data Science, Product, Engineering teams, and Customer Success.
Looking for a Data Analyst to join our Business Intelligence team. You will work in a team alongside other analysts to develop data pipelines, transform and interrogate data, derive insights and build reports and dashboards for stakeholders, that drive strategic and operational decision-making.
The Data Quality & Governance Manager (DQGM) takes a key role in establishing data quality principles on enterprise level, collaborating with data domain owners to ensure classification and true end-to-end ownership of data. The DQGM continuously strive for data hygiene and lifecycle culture and owns the data policy SOPs, ensuring their distribution and acceptance among stakeholders.
The Enterprise Delivery Manager serves as a senior delivery and strategy leader responsible for organizing and overseeing enterprise-wide data initiatives. This role ensures the successful execution of projects spanning data integration, governance, quality, and strategy, aligning them with organizational objectives to enable trusted, actionable insights across the business.