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

Wuppertal Interim Stellenangebot ansehen
Project OverviewOur client's AI & Data Center of Excellence (CoE) builds and operates a modern AI & Data Platform while enabling product teams to develop solutions on top of it.

hinzugefügt 05/10/2026

  • 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
Telefonnummer
+49211863249094

Zusammenfassung

Fachbereich
Information Technology
Näheres Berufsfeld
IT Projektmanagement
Branche
Industrial / Manufacturing
Ort
Wuppertal
Vertragsart
Interim
Beratername
Kai Gehrmann
Beraterkontakt
+49211863249094
Referenznummer
JN-102026-7118709

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