arrive - Product Manager (Data)

• Backlog & Roadmap Ownership: Translate high-level strategic visions (from the Head of Experience) into a prioritized, actionable product backlog. Ensure the backlog is always "Ready" for developers. • The "Standardization" Guardian: Strictly enforce the 70% Standard / 30% Specific ratio. Resist custom developments that create technical debt and champion reusable, scalable features to stop the "redo" cycle. • Cross-Functional Collaboration: Act as the decisive pivot between Engineering, Quality Assurance, UX/UI, and Business Analysts. Resolve conflicts and ensure the Squad reaches its Sprint goals. • Gap Analysis Validation: Work closely with Business Analysts and Market PMs to review client tenders. Define how to configure existing standard tools to meet client needs without rewriting core code. • Quality & Acceptance: Define clear "Definition of Done" criteria. Validate that the delivered software meets the functional goal before handing it over to the Delivery Managers for rollout. • Dashboard Building & Visualization: Define, design, and actively build intuitive data dashboards (using tools like PowerBI, Tableau, or embedded BI solutions). You will create operational dashboards for internal monitoring and client-facing dashboards that translate complex transit data into actionable insights. • Data Lake Integration: Lead the integration of the BU Transport's data streams into the global Arrive Group Data Lake, ensuring data quality, consistency, and compliance (GDPR). • BI & Analytics SaaS Offerings: Design and manage standard Business Intelligence dashboards and reporting tools to city and transit operators. • AI/ML Readiness: Monitor and evaluate practical AI use cases (e.g., predictive maintenance for hardware, anomaly detection) to be integrated into the roadmap, value-add features once the core BI and Data Lake foundations are fully established. • Data Governance & APIs: Define the data models and ensure our APIs allow seamless, secure data sharing across the Ticketing, Pay As You Go, and Digital pillars. • You will operate in a highly matrixed environment to ensure the Data product serves the entire ecosystem: • 1. With the product team: You align your Data roadmap with the broader business model. • 2. With Technology: You define the Functional Data Need (the "What" and "Why"), while relying on the Technology team to provide the underlying infrastructure and architecture (the "How"). • 3. With Market PMs & Sales : You gather feedback on local market data requirements (e.g., specific transit reporting standards in the UK vs. US) and abstract them into global, standard BI features. • 4. With Delivery Managers: You package data releases and ensure that Ops and Support teams are trained on new BI tools or AI features before they hit the market. • Key Performance Indicators (KPIs) • Standardization Rate: Ratio of "Standard Data/BI" features deployed vs. custom reporting requests developed for specific clients. • Data Product ROI & Adoption: Profitability of the Data Offering and the adoption rate of these dashboards by our B2G clients. • Time-to-Market: Efficiency from the conception of a new data feature/AI model to its "Ready for Rollout" status. • Data Quality & Reliability: Uptime of data pipelines, accuracy of reporting, and successful integration metrics with the Group Data Lake. • CANDIDATE PROFILE • Experience: 5+ years in Product Management, with a proven track record of managing Data, Business Intelligence, or Analytics products (ideally in B2B/B2G SaaS or Mobility/Transport sectors). • Strategic Mindset: Deep understanding of how to monetize data and transition legacy reporting into modern, scalable SaaS products. • Technical Literacy: Strong understanding of data architecture, Data Lakes, APIs (REST/JSON), and hands-on experience building with BI tools. Familiarity with AI/ML concepts and data privacy regulations (GDPR, PCI-DSS context) is a plus. • Execution & Agile: Mastery of Agile/Scrum methodologies. Proven ability to say "No" to specific client requests to protect the standard product vision. • Communication: Professional working proficiency in English (Level B1/B2) is required to collaborate with our international teams and document features. Fluency in French is a strong plus. Ability to translate complex data engineering concepts into clear business value for stakeholders. • Mobility: Willingness and ability to travel occasionally between our hubs and to client sites as required for strategic alignments or major rollouts.