IBM Operational Decision Manager Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used IBM Operational Decision Manager
Umut Gülac
Last position:
Data Architect at BA Technology
I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.
I delivered following projects and engagements as a freelancer.
- Data Migration of CRM System for AL-FA Objekt Service Gmbh
- Microsoft Software Resales Partnership
I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer
Technical Focus Areas
- Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
- DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
- Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
- MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
- Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.
Minh Doan
Last position:
Project Manager / Business Analyst / Application Manager at Finance and Insurance
Introducing 5 different process applications for various teams
Release planning: scope and time management
Resource/capacity planning
Conducting sprint planning / retrospectives
Increment planning (multiple sprints)
Preparing steering committee meetings / reporting to the executive board
Coordinating / aligning with external suppliers / deliveries
Multi-project resource planning
Aligning with the business unit and development team
Identifying best practices with IBM BAW
Cost control and planning for the project team and external service providers
Collecting KPIs using LogScale
Analyzing application errors with LogScale / queries
Defining user stories / aligning requirements with the business unit and development team
Testing and defect tracking
UI/UX design of the application
Preparing and facilitating brown-paper workshop
Test concept, test data, test organization, test execution
Recording team velocity / metrics
Executing tests
Scripts for automated testing
Organizing tests with the business unit and IT
Recording and prioritizing defects
Setting up and operating the application
Setting up application monitoring with LogScale dashboards
Checking health endpoints with PowerShell
Post mortem analysis
Setting up incident management
Setting up problem management
Analyzing errors using LogScale queries and dashboard
Pre-processing data for AI
Conducting evaluation with AI language models (Meta Llama 3.3 LLM and deepset Haystack) and RAG
Installing runtime environments for LLMs (large language model)
Evaluating various LLMs
Installing RAG (retrieval augmented generation) and integrating with LLM
Extracting unstructured data with LLM and RAG
Project based on IBM BAW (Business Automation Workflow), WebSphere Liberty, Domea, d.3, REST, LogScale (formerly Humio), Swagger, PowerShell, JIRA, Confluence, Lucom Interaction Platform (LIP), Mattermost, Jabber
Panagiotis Tsiantopoulos
Last position:
IT Manager at XCMG – XFL
- Gather basic requirements
- Plan the project
- Create RfP and tender
- Interview five vendors
- Review proposals and contracts
- Create a vendor shortlist based on hard facts (criteria catalog, price, licenses) and soft facts (quality of documents, software user experience, reputation and references)
- Support the initiation and RfP & vendor selection phases
- Plan the implementation & go-live and hypercare phases for 2025
Rashid Ibragimov
Last position:
Java Developer at IT company
- Data transformations
- IT company with more than 100 employees
- Software production
- Data augmentation and normalization, image transformation, format conversion, merging data from multiple sources
- Toolset: Java, Helm, Kubernetes, Kafka, OpenCV, IntelliJ IDEA, Gradle, Git, Docker, Containers, Scrum
Kalyani Kumar
Last position:
Assistant Vice President at Deutsche Bank
- Technologies: Java, React, Python, Scala, Spring Boot, JPA, microservices, Kubernetes, Docker, OpenShift, Eureka, Prometheus, Grafana, Zookeeper
- Led the design and development of enterprise wide data warehouse platform for efficient and secure data sharing using stateless, event-driven microservices architecture
- Served as component guardian and Scrum master for three microservices, ensuring seamless integration and maintaining high data integrity
- Optimized performance through Prometheus and Grafana, achieving measurable system resilience
Rolf Mainka
Last position:
Lead Developer and Tester of Domain Applications for the Zensus2021 Project at Federal Statistical Office
- Kubernetes, AWS cloud, Docker, RESTful services, ActiveMQ, Oracle Advanced Queuing, JBoss EAP, Spring Batch, Git, Keycloak, Kafka, Maven
- Setup of CD/CI pipelines with Jenkins
- Development of automated integration tests
- Performing DevOps tasks
- Regular development-accompanying execution of static code analyses on all releases of the Zensus domain applications with SonarQube
- Setup of an R server for household generation
- Setup of a Kafka server for the CVTS application
- Setup of a Keycloak instance
- Setup of a Jira instance for the Jira migration
- Setup of an IRI Workbench instance and Cosort for test data creation
- Setup of test systems for Java web applications with JBoss 8, JDK 17, and Oracle as well as MySQL databases
- Setup of the corresponding Oracle databases including meaningful domain data
- Identifying vulnerabilities in the technical communication between the domain applications
- Building extensive domain-specific and technical know-how for all Zensus domain applications
- Supporting and advising the specialist departments on the Zensus business processes in pre-production and production
- Conducting load and performance tests with JMeter and bash scripting
Discover over 15,000 top freelancers
Statistics of experts using IBM Operational Decision Manager
Aggregated from the professional profiles of matched freelancers.
Experience
25 years
Position duration
2.3 years
Positions per freelancer
20
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Banking and Finance, Information Technology, Telecommunication
Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
75%
Doctorate
25%
Certifications per freelancer
4
Most common languages
English, German, French
Speak two or more languages
83%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Germany using IBM Operational Decision Manager
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Enterprise Decision Automation with IBM ODM
IBM Operational Decision Manager, commonly known as IBM ODM, enables organizations to automate, govern, and modify business decisions independently of core application code. This Business Rule Management System helps business analysts and developers collaborate on defining policy logic. By externalizing business rules, companies can update policies quickly to adapt to shifting market conditions.
Core Ecosystem and Technical Components
The platform consists of several specialized modules that handle different stages of the decision lifecycle. Freelance specialists must navigate these components to deliver a scalable decision-making architecture.
- Decision Center for business users to author and manage rules
- Decision Server for executing decision services at high scale
- Rule Designer, an Eclipse-based development environment
- Decision Runner for testing and simulation of rule changes
Typical Use Cases in German Industries
Highly regulated sectors in Germany rely on this technology to maintain compliance and operational agility. Automated decision-making ensures consistency and auditing capabilities across complex operational processes.
- Automated credit scoring and loan approvals in the banking sector
- Underwriting, claims processing, and fraud detection in insurance
- Regulatory compliance checks for European financial standards
- Dynamic pricing engines for logistics and retail operations
Why Companies Hire Freelance Decision Specialists
Implementing and maintaining JRules or modern ODM setups requires highly specialized knowledge that internal IT teams often lack. Companies bring in freelance experts during major system migrations, upgrades, or when onboarding complex new business products that require deep rules architecture experience.
Key Competencies of Top Professionals
A strong expert combines technical development skills with business analysis capabilities. They must translate complex legal or business policies into structured rule flows, decision tables, and technical rule artifacts. Knowledge of Java, XML, and RESTful APIs is essential for integrating the decision engine with enterprise software.
Seamless Onsite and Remote Collaboration
Many German enterprises require a hybrid model where specialists spend crucial initial phases onsite for stakeholder alignment and architecture design. Since rule authoring involves direct interaction with local business departments, fluency in German is often highly valued alongside technical mastery of the decision platform.
Frequently asked questions
Curious about IBM Operational Decision Manager? Here are the answers that come up again and again.
The main advantage of IBM Operational Decision Manager is the separation of business logic from application code. This allows business stakeholders to update operational rules directly without waiting for a full software development cycle, significantly increasing organizational agility.
While lighter open-source alternatives exist, IBM ODM stands out for its enterprise-grade scalability, robust auditing features, and powerful simulation capabilities. It is particularly favored by large corporations requiring strict governance and millions of decision executions per day.
An expert working with IBM Operational Decision Manager should have a strong background in Java Enterprise Edition, XML, JSON, and web services. Experience with containerization platforms and CI/CD pipelines is also crucial for modern cloud-native deployments of decision services.
Yes, because ILOG JRules is the legacy foundation of the current platform. Professionals with deep background in JRules are highly capable of handling legacy migrations and upgrading older rule repositories to the modern ODM environment.
Many German banks and insurance firms choose IBM Operational Decision Manager because of its robust compliance features and traceability. The platform makes it easy to audit exactly why a specific decision was made, which is essential for meeting BaFin regulations.
Onboarding a specialist to work on IBM Operational Decision Manager projects usually starts with an architecture assessment or rule discovery phase. Following this, the expert designs the rule model and sets up the authoring environment for business users, which typically spans several weeks to months depending on complexity.
While technical development can be done remotely, projects involving IBM Operational Decision Manager benefit from initial hybrid collaboration. Aligning rule design with business stakeholders in Germany often runs smoother when the specialist participates in onsite workshops.
Look for candidates who can demonstrate successful integration of IBM Operational Decision Manager into complex enterprise architectures. Strong communication skills are vital, as the professional must act as a bridge between the technical IT team and the business departments authoring the rules.
The average hourly rate of freelancers in Germany who have used IBM Operational Decision Manager in their recent projects is 79 €, which corresponds to a daily rate of about 634 € based on an 8-hour working day.
Of the freelancers in Germany who have used IBM Operational Decision Manager in their recent projects, 100% hold at least a Bachelor's degree, 75% hold at least a Master's degree, and 25% hold a doctorate.
On average, freelancers in Germany who have used IBM Operational Decision Manager in their recent projects have 25 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Germany who have used IBM Operational Decision Manager in their recent projects are English (100%), German (83%), and French (33%).
The most common industries among freelancers in Germany who have used IBM Operational Decision Manager in their recent projects are Banking and Finance (100%), Information Technology (83%), and Telecommunication (67%).
The most common business areas among freelancers in Germany who have used IBM Operational Decision Manager in their recent projects are Business Intelligence (100%), Information Technology (100%), and Product Development (100%).
Main locations of FRATCH Experts, who have recently used IBM Operational Decision Manager
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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FRATCH CEO
