Qamar H.-Freelancer

• Support for a data, analytics and AI initiative in a regulated enterprise environment by structuring, evaluating and prioritizing several data-driven use cases based on business impact, feasibility, scalability, data maturity and governance requirements.
• Translation of complex business and analytics requirements into clear product, data and implementation logic, as well as preparation of decision-ready documents, target visions and roadmap inputs for stakeholder and management discussions.

• Conceptualization and development of a B2B SaaS platform for structured photo, defect, inspection and field-service documentation in skilled trades, facility management and technical services
• Development of product logic for directly assigning photos to customers, properties, orders, rooms, defects, inspection points and processing statuses
• Responsibility for product strategy, requirements management, UX concept, functional design, platform structure and go-to-market preparation
• Structuring of core features such as offline capture, before-and-after documentation, digital acceptance, role and permission management, export logic and report creation
• Development of target audience positioning for fire protection, HVAC and plumbing, electrical, facility management, building technology and other documentation-intensive trades
• Combination of process understanding, product management, digitalization and entrepreneurial implementation in a practical B2B use case
• Success & Value:
• Practical proof of B2B SaaS product development based on specific operational process problems
• Strong positioning in digitalization, process structuring, documentation logic and user-centered product development
• Additional proof of the ability to translate real market problems into scalable digital product solutions

• Conceptualization of a local, data-sovereign AI solution for companies with high requirements for data protection, IP protection and compliance
• Development of a target vision for using AI without cloud dependency on dedicated high-performance hardware
• Structuring of use cases for internal knowledge use, document analysis, process support and RAG-based enterprise search
• Evaluation of architectural, operational and make-or-buy options for local AI systems compared with cloud-based AI solutions
• Preparation of the solution approach for management and customer discussions, focusing on business value, governance and feasibility
• Presentation of an initial pilot to a potential customer to validate needs and the value proposition
• Architecture of a generative AI system for enterprise use: RAG pipeline, local LLMs (Ollama), containerized on-premise deployment, source citations and audit trail
• Success & Value:
• B2B practical proof of AI solution development from idea to initial customer validation
• Strong positioning in local AI, data protection, AI governance and data-sovereign architectures

• Methodical management and further development of central IT products in product management, as well as management of an extensive application portfolio
• Identification, structuring, and prioritization of business and technical use cases
• Evaluation of business value, technical feasibility, and scalability
• Close coordination with business departments, IT, enterprise architecture, and management
• Definition of KPI concepts and decision-making bases for management decisions
• Analysis of make-or-buy options as part of target architectures
• Documentation and management reporting at all levels (Jira, Confluence, LeanIX)
• Establishment of a company-wide data foundation (Matomo tracking platform) as a basis for data-driven decisions
• Interface management and single point of contact for the technical operation of IT products
• Centralization and preparation of knowledge transfer through status meetings and reports in Confluence and Jira
• Execution of a high-level inventory assessment
• Setup of a tracking platform, data analysis, and integration of business departments and applications
• Identification and verification of dependencies between IT products
• Tracking requirements and providing regular updates in Jira and Confluence
• Categorization of products and their performance requirements
• Identification of the minimum requirements for IT products in the POC/cloud environment
• Determination of KPIs and quantitative measurement parameters
• Ensuring the functions of the respective IT products in the test/target architecture
• Identification of optimization measures regarding performance and scalability
• Incorporation of the continuous development of products into the target architecture, as well as stakeholder management

Results:

• Targeted coordination of technical topics from and for product management
• Reduction of communication overhead
• Tracking and reporting of projects at all management levels

• Management of three employees in the area of global cloud monitoring
• Development and implementation of a preventive and predictive maintenance concept to minimize system outages and prevent customer impact caused by faulty devices
• Introduction of a holistic view of the global company cloud
• Reporting and status reports at VP level for the global cloud infrastructure, with international collaboration with stakeholders in the USA and India
• Project management as part of major international transformation and consolidation programs
• Evaluation and prioritization of complex topics in the context of global IT landscapes
• Coordination with international stakeholders and management
• Preparation of structured decision-making and management reports
• Ensuring transparency and control in complex program structures
• Use of MS Visio, Excel, PowerPoint, Jira, Teams, Confluence, and asset software

Results & Tools:

• Significant reduction in downtime and improved response capabilities through a central network infrastructure system
• Complete capture and integration of assets from several M&A processes

• Analysis and modeling of processes in letter of credit operations (Trade Finance)
• Development of migration scenarios and business concepts for process optimization
• Creation and execution of test cases in HP ALM, permission templates, and group policies
• Management of external service providers / third-party companies and stakeholder management at the department level
• Use of SharePoint, Excel, and HP ALM

Success & Tools:

• Successful adaptation, testing, and implementation of new process chains

• Designing and structuring a digital product from the initial idea through implementation
• Interface management and creation of specific business cases
• Identifying and evaluating functional use cases from both the user and business perspectives
• Make-or-buy decisions as part of product development
• Coordinating development teams and aligning business, design, and technology with an outsourcing team in India
• Methodical management of product development and conducting regular workshops and meetings

• Developing solutions for individual high-priority incidents and highly complex incidents in the telecommunications service environment, while optimizing service quality and customer satisfaction
• Specialization in recurring, specific incident patterns for sustainable process improvement
• Stakeholder management and continuous communication with specialist departments
• Use of customer peripheral systems, ticketing tools, and Excel

Results & Tools:

• Reduction of ticket volume from 65,000 to 15,000 tickets in the pool through automation

• Sitecore architecture, cloud management & test coordination in an international environment

• SPOC for ZDF Mediathek, requirements management, architecture & test coordination

• Testing the existing application against the new target architecture

• Automation of virtual apps – GUI, PowerShell, customer testing & documentation