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# Interim Technical PO- AI & Data Platform Engineering

- **Company:** Michael Page International (Deutschland) GmbH
- **Location:** Wuppertal, Germany
- **Contract:** Contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, JIRA, Cloud Computing, Code Review, Information Engineering, Data Infrastructure, Identity and Access Management, Scrum Methodology, Systems Development Life Cycle, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Apache Spark, Technical Debt, Agentic-AI, Git, Event Driven Architecture, Data Lakes, Data Management, Machine Learning Operations, Terraform, Databricks
- **Published:** October 7, 2026
- **Apply:** https://www.adzuna.de/details/5913927859

## About the Role

* 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

## Description

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