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

Stellenbeschreibung:

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.