AI Product Lead - Sales Data Models (gn) full-time/part-time (hybrid)

Do you want to play an active role in driving a company’s growth and turning big plans into reality? Then join our team! You can look forward to exciting challenges, an inspiring environment, and a work culture that combines flexibility and collaboration – with our 60/40 hybrid model and modern offices in Ratingen as a hub for ideas. As part of our team, you will take on the following responsibilities: You lead a cross-functional team of 3–5 Data Scientists and 1–2 Engineers with full functional and technical ownership: roadmap, prioritization, day-to-day direction, and delivery. You set the technical standard, the working rhythm, and the quality bar. While the team is formally embedded in the Sales Data Hub for people management, you have full functional authority and they work exclusively on your portfolio and follow your priorities. You own the product roadmap for DKV's Sales model portfolio: NBA engine (with Churn integrated as the next development stage), Customer Lifetime Value, and adjacent use cases such as cross-/upsell logic and share-of-wallet estimation. You propose what gets built, in which order, and why. You operate at the intersection of data science, engineering, and business strategy: you translate GTM requirements into model and product specifications, and translate model outputs and constraints into business-actionable trade-offs for senior leadership (up to and including C-level). You are technically deep, so you can lead data scientists and engineers credibly: you set direction on feature engineering, model architecture, calibration, and drift detection; you challenge technical choices in design reviews; and you step into the code yourself when the situation requires it. You manage the model and product development backlog end-to-end. From feedback integration and feature requests to prioritization, sprint planning, and release management. You define the cadence, acceptance criteria, and quality gates. You drive the integration of sales models into operative systems: CRM (Dynamics 365), BI dashboards (Power BI), and downstream applications. You own the interface between model output and business workflow, in close collaboration with the Sales Data Hub on data and infrastructure topics. You build and own the feedback loop between field sales, CRM data, and model iteration: structuring market signals, decline reasons, and conversion patterns into systematic model improvements together with the Growth Transformation Leads. You define and track the business case for each model: which model investments drive which commercial KPIs, where to prioritize feature development versus scaling versus new use cases together with the Growth Transformation Leads. You build the product governance for the Sales Models portfolio: monitoring frameworks, cross-model impact analysis, documentation standards, and knowledge transfer processes that make the portfolio sustainable beyond any single person together with the Growth Transformation Leads.