Interim Technical PO- AI & Data Platform Engineering (m/w/d) in Wuppertal

Intro interesting project Interesting company Firmenprofil Start: ASAP Duration: 5 months + extension Workload: 5 days/week Location: 95% Remote, occasional presence in Düsseldorf Industry: Sales Project Language: English (mandatory), German Aufgabengebiet Role OverviewThe AI & Data Platform Product Manager defines what gets built. As the Technical Product Owner, you are responsible for how it is delivered. Delivery & Planning Break down epics into actionable tickets with clear acceptance criteria, dependencies, and Definition of Done Define delivery approaches, sequencing, and implementation strategies together with Engineering Leads Own effort estimation, capacity planning, and delivery forecasting Plan release readiness, deployments, environments, security reviews, access management, and monitoring Team Leadership Manage day-to-day delivery operations of the engineering team Ensure transparency and quality across planning and execution Track progress based on engineering evidence (PRs, deployments, pipeline runs, releases, IaC changes) Identify blockers, delivery risks, capacity constraints, and scope creep early Balance platform development with enablement and support of product teams Technical Oversight Participate in architecture and design reviews Manage cross-workstream dependencies across platform components and connected systems Make technical risks visible, including technical debt, security findings, reliability, performance, data quality, and cost Portfolio & Stakeholder Management Own quarterly planning, roadmap preparation, and portfolio reporting Maintain a consolidated view of active and planned initiatives Translate technical complexity into clear decision options for leadership Identify capability and resource gaps and support resource planning Stakeholder & Delivery Interface Act as the primary interface between the CoE and the delivery organization Assess technical feasibility and effort for new initiatives Coordinate and govern Proofs of Concept (PoCs), including scope, success criteria, effort, and decision points Anforderungsprofil Required ExperienceHands-on Technical Background Several years of practical experience as a Data, AI/ML, Platform, Cloud, or Software Engineer before moving into a product or delivery role Strong understanding of AI/ML lifecycles, MLOps, and LLMOps Experience with GenAI/LLM platforms, Agentic AI, RAG, embeddings, vector databases, and model serving Knowledge of Context Engineering and Semantic Memory concepts Data engineering experience, including batch and streaming architectures (e.g., Apache Spark) Strong Databricks expertise (Delta Lake, Unity Catalog, MLflow) AWS experience (IAM, networking, storage) Infrastructure as Code (Terraform or similar) CI/CD pipelines and Git-based development workflows Security best practices for AI, cloud, and data platforms Ability to review code, pull requests, pipelines, and architecture artifacts to assess delivery progress and risk Delivery & Product Leadership Proven experience as a Technical Product Owner, Technical Program Manager, or Technical Delivery Lead Strong SDLC knowledge and experience with Agile methodologies (Scrum/Kanban) and Jira Expertise in estimation, capacity planning, roadmap planning, and portfolio management Strong stakeholder management skills, including communication with senior leadership High credibility with engineering teams and the ability to drive accountability Vergütungspaket Interested?Please share: Earliest possible start date Current availability and maximum weekly capacity Whether this capacity can be provided on a regular basis Hourly rate (Remote / Onsite) Current CV/Profile Brief feedback on your fit for the role, addressing the requirements above We look forward to hearing from you. Kontakt Kai Gehrmann Referenznummer JN-102026-7118709 Beraterkontakt +49211863249094