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

Michael Page; Wuppertal; A distancia; EUR 65.000 - 95.000; Jornada completa

Descripción de la vacante

Michael Page sucht für ein 5-Monats-Projekt einen erfahrenen AI & Data Platform Product Manager als Technical Product Owner, der definiert, was gebaut wird, und verantwortlich ist, wie es geliefert wird. Sie arbeiten eng mit Engineering Leads, Stakeholdern und dem CoE zusammen.

Der Job bietet 95% Remote-Arbeit mit gelegentlicher Präsenz in Düsseldorf, erfordert exzellente Englisch- und Deutschkenntnisse, Agile Methodenkenntnisse und fundierte Cloud-/DaaP-Erfahrung.

Formación

• Mehrere Jahre praktische Erfahrung als Data/AI/Platform/Cloud-Engineer, bevor Sie in Produkt- oder Delivery-Rollen wechselten.
• Starkes Verständnis von AI/ML-Lifecycles, MLOps und LLMOps.
• Erfahrung mit GenAI/LLM-Plattformen, Agentic AI, RAG, Embeddings, Vektordatenbanken und Modellbereitstellung.
• Kenntnisse zu Context Engineering und Semantic Memory.
• Datenengineering-Erfahrung inkl. Batch/Streaming (z. B. Apache Spark).
• Starke Databricks-Expertise (Delta Lake, Unity Catalog, MLflow).
• AWS-Erfahrung (IAM, Networking, Storage).
• Infrastructure as Code (Terraform oder Ähnliches).
• CI/CD-Pipelines und Git-basierte Workflows.
• Sicherheits-praktiken für AI, Cloud und Data-Plattformen.
• Fähigkeit, Code, PRs, Pipelines und Architekturartefakte zu prüfen.

Responsabilidades

• Break down epics into actionable tickets mit klaren Abnahme-Kriterien, Abhängigkeiten und Definition of Done.
• Define delivery approaches, Sequencing und Implementierungsstrategien mit Engineering Leads.
• Eigenständige Schätzung, Kapazitätsplanung und Delivery Forecasting.
• Release Readiness, Deployments, Umgebungen, Security Reviews, Access Management und Monitoring.
• Team-Delivery-Operations des Engineering-Teams leiten und Transparenz sicherstellen.
• Fortlaufende Qualitätsverbesserung, Blocker früh identifizieren, Risiken managen.
• Technische Risiken sichtbar machen, inklusive Tech Debt, Sicherheit, Zuverlässigkeit, Kosten.
• Quarterly Planning, Roadmap und Portfolio Reporting verantworten; Prioritäten kommunizieren.
• Primärer Ansprechpartner zwischen CoE und Delivery-Organisation; PoCs governieren.

Conocimientos

Data engineering

AI/ML lifecycles

MLOps

GenAI/LLM platforms

AWS

CI/CD

Security best practices

Agile methodologies

Stakeholder management

Herramientas

Databricks

Delta Lake

Unity Catalog

MLflow

Terraform

Jira

Descripción del empleo

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.

• 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

We look forward to hearing from you.

Quote job ref: JN-102026-7118709