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

AI Product Lead - Sales Data Models

Full-time/part-time (hybrid)

About DKV Mobility

As part of a leading European B2B platform for on-the-road payment solutions, you will work in an exciting environment. Our purpose is to drive the transition towards an efficient and sustainable future of mobility. We have approximately 2,700 employees throughout Europe united by a common passion to give their best every day for our customers in more than 50 countries.

Our claim: You drive, we care.

About the Role

You will take on the following responsibilities:

• 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.
• 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.
• 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.
• Operate at the intersection of data science, engineering, and business strategy: 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).
• Lead data scientists and engineers credibly by setting direction on feature engineering, model architecture, calibration, and drift detection; challenge technical choices in design reviews; and step into the code yourself when the situation requires it.
• Manage the model and product development backlog end-to-end: from feedback integration and feature requests to prioritization, sprint planning, and release management. Define the cadence, acceptance criteria, and quality gates.
• Drive the integration of sales models into operative systems: CRM (Dynamics 365), BI dashboards (Power BI), and downstream applications. Own the interface between model output and business workflow, in close collaboration with the Sales Data Hub on data and infrastructure topics.
• Build and own the feedback loop between field sales, CRM data, and model iteration: structure market signals, decline reasons, and conversion patterns into systematic model improvements together with the Growth & Transformation Leads.
• Define and track the business case for each model: determine which model investments drive which commercial KPIs, and prioritize feature development versus scaling versus new use cases together with the Growth & Transformation Leads.
• 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.

What We're Looking For

Experience:

• 5–7 years of experience at the intersection of Data Science, AI Product Management, and Engineering, including leadership experience for Data Scientists or Data/ML Engineers.
• Ideally, a combination of two of the following: a top-tier consultancy with a data science practice (BCG X, McKinsey QuantumBlack, Bain Vector), a Senior or Lead Data Scientist role with team responsibility, or an AI/ML Product Manager role in a scale-up or tech company.

Technical Skills:

• Python, SQL, established ML frameworks, and experience with cloud data infrastructure (Snowflake, Azure, or AWS).
• Ability to lead a Data Science and Engineering team credibly, set technical direction, review model code and feature engineering choices, and intervene in model logic when needed. You do not need to build production pipelines from scratch.
• Familiarity with Generative AI and agentic systems is a strong plus. We see clear potential to extend the next waves of Sales intelligence at DKV to combine classical ML with GenAI-driven workflows.

Business Acumen:

• Think in business cases and revenue impact, not just model accuracy. Can explain to a CCO why a specific model trade-off translates into revenue, and simultaneously explain to a Data Scientist why a theoretically weaker model might be the commercially right choice.

Leadership:

• Led small cross-functional teams (3–5 people) and are comfortable with full disciplinary responsibility: hiring, coaching, performance management, and shaping career paths for Data Scientists and Engineers.
• A natural owner who does not wait for someone to define the scope, the governance, or the process. You build it.

Industry & Language:

• Experience in B2B environments with complex sales processes (ideally but not mandatory) in Fleet, Mobility, Financial Services, Payments, or comparable industries with account management logic and multi-product portfolios.
• Fluent in German and English.

Personal Qualities:

• Willing to travel within Europe up to 1–2 times per month to work on-site with regional sales teams, attend model review sessions, and ensure that what you build actually works in the field.
• Genuine curiosity for both the technical depth and the commercial reality. Equally comfortable in a model performance review and in a conversation with a truck fleet manager in Warsaw about why a recommendation did or did not make sense.

What You Can Expect

• 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.
• Comprehensive company health management.
• Parent-child offices (from 2023) and support in leasing your eBike through our partner Jobrad.
• Flexible working hours and family-friendly working time models.
• A balanced mix of on-site meetings and home office.
• Access to a modern learning environment independent of time and location to further your personal development.

About DKV Mobility

• We have been growing for about 90 years.
• We keep adapting our products and business model to meet changing customer needs.
• We are a certified Top Employer Germany and Great Place to Work.
• We are committed to a net-zero future. After reaching our Green Pledge climate target in 2023 by reducing carbon emissions in our own business operations by 50.4% compared to the base year 2019, we set ourselves ambitious net-zero climate targets validated by the Science Based Targets initiative. By 2050, DKV Mobility commits to reach net-zero greenhouse gas emissions across the value chain from a 2022 base year.

Flexibility

This position can be full-time or part-time (minimum 30 hours/week). DKV Mobility is looking for the best talents and knows that these are not always available on a full-time basis. Many of our employees work part-time or in flexible working models. Please talk to us about the flexibility you need during the application process.

Diversity & Inclusion

We are looking forward to your application and to applicants who enrich our diverse culture! Regardless of age, gender, origin and sexual identity and orientation. Severely disabled applicants will be given preference if equally qualified.

Contact

If you have open questions, please contact Cristina Moraru via Cristina.Moraru@dkv-mobility.com.