• Own line setting strategy and projection accuracy for our fantasy markets, balancing coverage breadth and competitive line quality. • Lead and grow a high-performing team of data scientists and analysts focused on market creation and prop origination. • Oversee development and deployment of projection models and coverage expansion across major sports and esports (NBA, NFL, MLB, CS2, etc.). • Partner cross-functionally with Product, Engineering, Pricing, and BizOps to launch new markets and expand coverage. • Guide experimentation around line accuracy, prop selection, and coverage strategy to drive engagement and grow the market catalog. • Maintain and evolve frameworks for projection accuracy, coverage quality, and market health monitoring. • Ensure data integrity and modeling quality across all origination efforts.

Role Description Du möchtest Menschen auf ihrem Weg in den Heilpraktiker-Beruf begleiten und dein Wissen mit Leidenschaft weitergeben? Dann werde Teil unseres Teams! - Planung, Durchführung und Evaluation von Online-Unterrichten und Online-Webinaren - Fachliche und persönliche Begleitung unserer Schüler*innen durch alle Ausbildungsphasen - Mitgestaltung und Weiterentwicklung unserer modernen Lehrkonzepte - Vermittlung praxisnaher Inhalte für die Heilpraktiker-Prüfung und spätere Berufspraxis - Förderung einer motivierenden und wertschätzenden Lernatmosphäre Qualifications - Abgeschlossene Ausbildung als Heilpraktiker/in - Freude daran, Wissen verständlich und lebendig zu vermitteln - Empathie, Struktur und Verantwortungsbewusstsein - Begeisterung dafür, Menschen auf ihrem beruflichen Weg zu begleiten - Offenheit für digitale Lehrformate und moderne Unterrichtsmethoden - Idealerweise erste Erfahrung im Unterrichten oder in der Erwachsenenbildung Benefits - Flexible Arbeitszeitmodelle: 32 Stunden in der 4-Tage-Woche oder Vollzeit – ganz nach deinen Möglichkeiten - Ortsunabhängiges Arbeiten durch digitale Unterrichtsformate - Ein herzliches, unterstützendes Team mit erfahrenen Dozent*innen - Raum für eigene Ideen und aktive Mitgestaltung - Fort- und Weiterbildungsmöglichkeiten zur pädagogischen und fachlichen Entwicklung - Attraktive Vergütung sowie zusätzliche Benefits - Eine sinnstiftende Tätigkeit in einem wertschätzenden Ausbildungsumfeld

• Own and maintain the product roadmap and backlog for one or more data product areas — such as learner analytics, outcomes reporting, or institutional intelligence tools • Prioritize features and enhancements based on customer value, business impact, and technical feasibility, with a clear orientation toward outcomes over output • Actively manage sprint planning, release coordination, and post-launch measurement in partnership with engineering leads • Conduct ongoing customer discovery, user research, and competitive analysis to deepen understanding of the needs of institutional buyers, learning administrators, and learners • Synthesize research findings into actionable product requirements and user stories • Write clear, detailed user stories, acceptance criteria, and product requirements • Coordinate across platform engineering, data science, and UX through all phases of the product lifecycle — from discovery through delivery and post-launch iteration • Manage product releases in partnership with engineering and project management • Define and drive the development of data platform features that serve both external customers and internal operational needs • Ensure features are built on a well-governed, scalable data architecture and that data pipelines, enrichment, and access controls meet product and regulatory standards • Serve as the day-to-day connective tissue between technical data teams and commercial stakeholders, translating complex data capabilities into clear customer value propositions • Equip customer success and account management teams with the product knowledge and data insights needed to support and retain customers • Partner with product marketing to contribute to messaging, product collateral, and sales enablement materials for data products • Support the development of pricing inputs and product positioning in close coordination with marketing and sales leadership • Champion data quality, integrity, and privacy compliance (FERPA, GDPR, COPPA where applicable) within your product areas • Work closely with data engineering to ensure that data pipelines, cataloging, enrichment, and access controls meet both product requirements and regulatory standards • Identify opportunities to incorporate AI and machine learning capabilities into product features • Work collaboratively with data engineers to scope, validate, and ship AI-driven functionality. • Stay current on AI tools and EdTech market developments to inform the product roadmap.

• Price deals no one has priced before. • Turn a monitoring function into a decision engine. • Own the risk narrative with senior leadership. • Build the data foundation for Risk Analytics — and make it yours. • Actually use AI to change how the team works.