Data Team Manager, Storyblok

• Minimum 4 years of experience in a data science management role
• Minimum 7 years of experience as a data scientist or similar role
• Proven experience with machine learning algorithms and tools (Python, R, etc.)
• Strong SQL and data manipulation skills
• Master’s degree in Data Science, Statistics or a related field (or equivalent work experience)
• Experience with cloud platforms (AWS, GCP, Azure)
• Excellent communication and presentation skills

Desirable

• Storyblok is looking for an experienced Data Team Manager to lead our data science and engineering efforts, playing a pivotal role in shaping data strategy across our organization
• As a seasoned professional, you will foster collaboration, spearhead critical research, and enhance decision-making across all departments
• In this role, you will manage and mentor a team of four, working closely with product, finance, and go-to-market teams to prioritize and streamline data initiatives
• You will oversee the data team pipeline, set clear goals, and ensure data insights are communicated effectively, making them accessible and actionable to drive our strategic objectives forward
• Define and implement the data and analytics strategy, aligning it with company objectives to support business growth and operational efficiency
• Partner closely with product, finance, marketing, and go-to-market (GTM) teams to understand their data needs and provide actionable insights that inform decision-making
• Act as a key point of contact for data-related inquiries across the organization, translating complex data insights into clear, impactful recommendations
• Prioritize and manage the team’s workload, ensuring high-impact projects are identified, resourced, and delivered on time to meet strategic goals
• Lead the development and deployment of business intelligence tools, dashboards, and reporting systems to deliver real-time insights for stakeholders
• Clearly communicate data insights, project updates, and strategic recommendations to stakeholders at all levels, ensuring alignment and understanding across the organization
• Present complex analytical concepts in accessible language, supporting data-driven culture and literacy within the company
• Oversee the development, maintenance, and optimization of our data infrastructure, ensuring data integrity, availability, and accessibility
• Implement and enforce data governance and quality standards, ensuring reliable, consistent data across all sources and tools
• Keep abreast of industry trends, emerging technologies, and advanced analytics methods, applying relevant innovations to enhance data capabilities
• Promote and establish best practices in data engineering, analytics, and data science to ensure the team’s work maintains a high standard of quality and rigour
• Manage, mentor, and grow a team of data scientists, data engineers, and analysts, fostering a collaborative and high-performance culture
• Drive professional development within the team, promoting continuous learning and growth aligned with the latest data tools, methodologies, and best practices
• Demonstrated ability to work independently and take initiative in engaging with business stakeholders, effectively driving collaboration with minimal guidance