R&D Engineering Manager – Industrial Data Fabric; m​/f​/d

R&D Engineering Manager – Industrial Data Fabric (m/f/d)

“This position can be based at any Siemens location in Germany(Munich, Erlangen) or Israel.”

is a suite of integrated digital solutions to engineer, simulate andoperatemanufacturing operations across industries. Operations Software includes our product portfolio in manufacturing engineering (COMOS,Tecnomatix, NX CAM, ...) & production operations (Win CC, Scada, PCS 7 / neo,Opcenter, Insights Hub, ...). The portfolio helps organizations across many different industries to improve operational efficiency, reduce costs, and enhance decision-making by providing real-time visibility and control across manufacturing and business processes.

Formula 1 cars, ships, mobile phones, space exploration vehicles, food & beverages,pharmaceuticalsand many of the other objects we see in our daily lives are being conceived and produced using our software.

We'reredefining the industrial world using data and AI to make production:
Agile, Adaptive, Autonomous.

Eliminateproductivity boundaries fortoday’sand tomorrow’s production operation. Join our mission to build the most comprehensive next generation AI-native Industrial Operations Software portfolio as the newoperationsystem for industry in the age of AI. With us you have the chance to now apply AI to where it really matters:
In the physical world ofan industrialproduction and engineering of real things.

The Industrial Data Fabric is the foundation of Siemens' AIOperationsplatform-thelayer that connects heterogeneous industrial systems, contextualizes operational data, and makes it available to AI agents and applications in realtime.

Weare looking for a strongengineeringmanagerto define howthe Data Fabric is built and drive delivery across a globally distributed R&D team. You will work closely with product managers, architects, software engineers, and data scientists to translate the vision into a scalable, high-quality implementation.

This is apeopleleadership role. You will directly manage a distributed R&D team across Israel and Germanyandberesponsible forhiring, performance, delivery, and team development.

• Drive delivery: translate product roadmap into quarterly plans, sprint commitments, and measurable team output

• Own and build the team: direct management of engineers globally - hiring, onboarding, performance reviews, career development, and day-to-day operations

• Technical implementation of the Industrial Data Fabric: ingestion pipelines, storage, knowledge graph, semantic contextualization, governance & compliance.

• Translating product requirements into concrete technical designs and work breakdowns that distributed teams can execute against. Define how things are built andwhy.

• Ensuring design and implementation meet the NFRs defined by product management — latency, throughput, availability, security, data quality — and that the architecture can accommodate future requirements as they evolve.

• Quality of the technicalinterfacebetween Data Fabric and its consumers.

• Define and enforce the software development life cycle and high engineering standards.

• Ensuring customer engagements produce reusable platform building blocks, not bespoke one-offs.

• Shipped data platform components in production environments.

• Hands on experience working with semantic technologies: ontologies, knowledge graphs, RDF/OWLor property graphs (e.g., Neo4j, Amazon Neptune, or equivalent) running in production or services delivery.

• Hands-on experience in cloud-native data infrastructure: streaming (Kafka, Pulsar or equivalent), Lakehouse patterns, orchestration, and cloud platforms (Azure, AWS) ;
  
  - Experience with edge computing and hybrid cloud/on-premisesdeployments

• Designed and built integrations across heterogeneous industrial source systems: OTand IT,e.g.OPC UA, historians, PLM, SCADA, MES, PLCs

• Direct people management: 5+ years managing engineering teams, including hiring performance management, career development, and cross-site coordination.

You arelikely astrong fit if you:

• Think in systems and trade-offs, not…