Technical Product Owner – AI & Data Platform on AWS
Forchheim, Deutschland
Erfahrungen
Feb. 2023 - Bis heute
2 Jahren 5 Monaten
Technical Product Owner – AI & Data Platform on AWS
Vorwerk
AI & data platform for data lakes, data warehousing (DWH) and new AI services.
The platform is based on Databricks, AWS, and Azure Entra ID.
The development and the operation are done with an infrastructure-as-code (IaC) approach through Terraform, Python, Docker, Kubernetes, and GitLab CICD.
Additionally, the team supports, technically consults, solution architects, and implements various AI & Data use cases to realize new business applications.
Contribution:
Road-mapping and development of the Databricks platform on AWS.
AI use case consulting, solution architecture design, productization.
Responsible Operation Lead for the platform operation team.
Corporate cloud landing zone in Hub-Spoke architecture for all Allianz business units to move their business safely and scalable to the cloud.
The Hubs form a global mesh for private communication in AWS / Azure including on-premise connections, proxies, and private DNS.
The Spokes are the accounts, VPCs / VNETs, subnets, IAM / RBAC setup, and the integration layer for other corporate services on Azure and AWS.
Automation is achieved with Terraform, Crossplane, GitHub Actions, and native Azure / AWS services realizing a novel Infrastructure-as-Code (IaC) approach.
Contribution:
Multiple product releases and 1st Crossplane-native implementation released.
Management of old product phase-out and migration plans for customers.
Responsible Operation Lead for the AWS and Azure operation & incident teams.
Team: 2 x 12 developers, 8 connected neighbor teams.
Product Owner & Solution Architect – AI & Data Platform
RTL Data
The product was a semantic metadata platform as enterprise knowledge graph to be used for semantic recommenders and semantic smart search algorithms.
The core was to create this Knowledge Graph with AI, ML, Natural Language Processing (NLP), semantic embeddings, and Ontologies.
The multi-cloud solution consisted of numerous machine learning microservices, ETL pipelines on GCP, BigQuery as DWH, AWS Neptune as Knowledge Graph, and Azure OpenAI Services.
For the ease of usage, a content exploration app was developed with Angular and FastAPI to retrieve information from the knowledge graph through a web app.
Contribution:
Project started, Knowledge Graph and Content Exploration App released.
As DevOps Engineer I developed CI/CD pipelines, micro-services on Kubernetes.
The product was an end-to-end innovation process for a fast evaluation of innovation ideas. The goal was to incubate new digital products for a Siemens business unit.
Contribution: Process defined, process released, and innovation process leader.
Key Words: Design Thinking, Innovation Funnel, Stage-Gate Process, Business Model Navigator & Canvas, 4P, Customer Discovery, Portfolio Management, Digital Strategy, Innovation Management, Ideation Workshops, Jobs-to-be-done (JTBD), JIRA, Confluence, McKinsey Matrix, Partner Management, Team Leadership.
Apr. 2017 - Aug. 2018
1 Jahr 5 Monaten
Project Lead & Developer
Siemens
Project: Digital Twin Plug-In.
Plugin in SimCenter for reducing the size of large FEM models to enable real-time computations for physics-based Digital Twins for predictive maintenance solutions.