7 beste Stellen als azure cloud engineer in krefeld, nw – aktuell auf Personalsuche

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DKV EURO SERVICE GmbH + Co. KG —Ratingen
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AI Product Lead - Sales Data Models (gn) full-time/part-time (hybrid)

DKV EURO SERVICE GmbH + Co. KG -
Ratingen

Jetzt bewerben

Details zur Stelle

Teilzeit | Vollzeit

Leistungen

Firmenfahrrad-Leasing
Flexible Arbeitszeiten

Qualifikationen

Produktmanagement
Führungserfahrung

Vollständige Stellenbeschreibung

Your job at DKV Mobility? As part of a leading European B2B platform for on-the-road payment solutions, you will work in an exciting environment. Our tasks are defined by our Purpose: To drive the transition towards an efficient and sustainable future of mobility. We offer you numerous opportunities to help shape the mobility of tomorrow in a dynamic and agile environment. Our approximately 2,700 employees throughout Europe are united by a common passion: to give their best every day for our customers in more than 50 countries. True to our claim: You drive, we care. Become part of our diverse, dedicated and unique team!

What you can expect

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.

What makes you stand out

You have 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, you bring 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.
You are technically deep: Python, SQL, established ML frameworks, experience with cloud data infrastructure (Snowflake, Azure, or AWS).
You can 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, and we value candidates who think about that intersection.
You think in business cases and revenue impact, not just model accuracy. You 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.
You have 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.
You have 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.
You are a natural owner: you do not wait for someone to define the scope, the governance, or the process. You build it.
You are fluent in German and English.
You are 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.
You bring genuine curiosity for both the technical depth and the commercial reality. You are 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.

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. This position can be full-time or part-time (min. 30h/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.

Why DKV Mobility? Here are five good reasons...

At DKV Mobility, we are team players - because we are only successful together! #teamofteams
You should feel welcome with us from the very beginning!

We've been growing for about 90 years

How we do it? We keep adapting our products and business model to meet changing customer needs. That's how we stay mobile and master every challenge the future holds.

There are also many other good reasons to work at DKV Mobility. For example, we offer you comprehensive company health management, parent-child offices (from 2023) and support you in leasing your eBike through our partner Jobrad!

We attach great importance to work-life balance.

We stand for the compatibility of family and career! That's why we offer flexible working hours and family-friendly working time models. In addition, we rely on a balanced mix of on-site meetings and home office.

We support you in your development

We offer you optimal conditions to familiarize yourself so that you can quickly find your way around and become a part of the team! To further your personal development, we offer you access to a modern learning environment - independent of time and location. This way you can also face the challenges of tomorrow!

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. The targets have been 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. You want to take climate action? Follow us on our road to net-zero.

We are a certified employer

Our employees trust us. As an employer, we regularly receive awards from independent institutes, e.g. as Top Employer Germany and as Great Place to Work!

Did you know that we have received several awards as an employer in recent years?

Have we made you curious? Then we are looking forward to your application! If you still have open questions then please contact Markus Gierse via [email protected].

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Erweiterte Suche

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Ich möchte aktuelle Job-E-Mails für Stellen als azure cloud engineer in krefeld, nw erhalten

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Weitere Job-Standorte erkunden

Why DKV Mobility? Here are five good reasons...

We've been growing for about 90 years

We attach great importance to work-life balance.

We support you in your development

We are committed to a net-zero future

We are a certified employer

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