(Senior) Technical Product Manager - Data & AI (m/w/d)

Become our new (Senior) Technical Product Manager - Data & AI (m/f/d)

Are data your passion? Do you want to help companies orchestrate innovative data and AI use cases and develop scalable platforms on Microsoft Azure and Databricks? Are you ambitious, solution-oriented, and love working at the intersection of business and technology? Then join our team!

Your role as (Senior) Technical Product Manager - Data & AI

As a Technical Product Manager, you will be the central interface between business and technology, responsible for prioritizing and managing the project from both a technical and business perspective. Your focus will be on orchestrating data and AI use cases and building or further developing scalable data platforms .

With a clear focus on business value , you ensure that all requirements are implemented efficiently and that the developed solutions create measurable added value. The Product Manager assumes end-to-end responsibility for the product and works closely with the customer and the entire implementation team to realize innovative and future-proof solutions.

Your tasks & responsibilities

• Product Strategy & Roadmap : Definition of the product vision and derivation of the product roadmap

• Requirements management : Translation of business requirements into technical specifications for data & AI use cases and the data platform.

• Product Backlog Management : Building and prioritizing the product backlog, taking into account business value, technical feasibility, dependencies, and blockers.

• Development & Scaling : Responsibility for building MVPs and developing them into scalable products and platforms.

• Product Teams : Close coordination with Data Solution Architects, Data Engineers and AI Engineers to implement data-driven solutions.

• Development methods : Ensuring efficiency through the use of Scrum, Kanban, DevOps and SRE principles

• Team & Meeting Coordination : Organization of meetings and agile ceremonies with the team and the client.

• Performance measurement & optimization : Using KPIs and OKRs for continuous improvement of solutions

• Compliance & Data Protection : Coordination of regulatory requirements (e.g. GDPR, HIPAA) for data-driven solutions

• Sustainability & Scalability : Ensuring the long-term maintainability and scalability of the developed solutions.

• Project responsibility : Managing the team and budget for successful implementation

• Stakeholder management : Structured coordination with business departments and management regarding status, risks, and new opportunities.

What you bring to the table – your skills & experience

• Product Discovery & Development: Experience with methods and principles (such as Scrum, Kanban, DevOps and SRE) as well as market-leading ticketing systems and wikis (such as Jira, Confluence, Azure DevOps)

• Business Value Orientation: Ability to derive business value and impact and to align the roadmap and product backlog accordingly.

• Hands-on mentality: Enjoyment of proactively shaping and driving forward products.

• Technical understanding of data and AI platforms: Project experience in establishing cloud data platforms (preferably Microsoft Azure) and analytics and AI use cases based on them.

• Data architectures and concepts: Basic understanding of concepts such as data warehouse, data lakehouse, self-service BI, and MLOps

• Stakeholder management & communication: Ability to explain complex technical concepts in a way that is understandable to management, business & IT teams.

Education:

• Bachelor's degree in (business) informatics, business administration with a technical focus or a related field

Language skills:

• Fluent and negotiation-level language skills in German and English

Your role in the project – contribution and area of ​​responsibility

As a Product Manager, you accompany the project from strategy to the operational use of the product / platform and assume strategic, professional and technical responsibility .

• Strategy & Objectives : Derivation of the objectives for the overall project and derivation of the central success measurement

• Discovery & Conception : Identification of customer segments, customer journeys, problem and solution spaces

• Development & Implementation : Ensuring efficient implementation in accordance with technical and business requirements.

• Go-Live & Operations : Conducting UATs, coordinating final acceptances, and providing hypercare support after go-live.

• Project organization : Resource and budget management as well as regular status reports for transparent communication.

• Up- and cross-selling potential : Identifying new expansion stages for the developed solutions and coordinating with our account managers.

As a Product Manager, you work closely with key stakeholders on the customer side and ensure seamless alignment between business and technology.

• Project Manager – Together you define the product goals and ensure that the highest possible business value is delivered.

• Business Owner – You coordinate closely with our customers' specialist departments and continuously refine requirements and acceptance criteria.

Through this close collaboration, you ensure that the project is implemented in a targeted, efficient and value-creating manner .

Why you're exactly right for us

• Exciting Data & AI projects with state-of-the-art technologies – working with Azure, Fabric, Databricks & leading cloud technologies.

• High-performance & ambition – We are looking for doers who want to make a difference.

• Steep learning curve & development opportunities – Become part of a top team with regular training & certifications.

• Innovative corporate culture – We live a hands-on mentality, team spirit & data-driven excellence.

About AI performance

We are transforming the way companies work with data and preparing them for the future of artificial intelligence. With our expertise in developing data platforms and AI-powered solutions, we create measurable added value – always with a clear focus on business and strategy. Our projects range from global data platforms to innovative Gen AI applications and make a direct contribution to the success of leading DAX companies. By using state-of-the-art technologies, we are setting new standards in digital transformation and working closely with Microsoft, Databricks, and our AI group ecosystem to implement sustainable and future-proof solutions.

Our company culture is characterized by forward-thinking, curious, and open-minded people who actively shape the digital world. To maintain this dynamic environment, we place great value on diversity, innovation, and close teamwork. If you'd like to learn more about our culture and benefits, please visit our careers page.

Are you ready to help us shape the future of data-driven business models?
Then apply now – we look forward to hearing from you!