About Philipp
Philipp W. Kutter worked the last 15 years as a Business Analyst, Data Architect, Data Modeller, Product Owner, Project Manager, and strategic consultant for SwissLife, UBS, Bank Julius Bär, Credit Suisse, and Accenture. During his projects, Philipp has been not only involved in analysis and project management, but as well contributed actively to engineering of business rules, data mappings, complex SQL scripts, as well as hands-on data-, process-and software-models.
He has deep experience in financial instruments, private banking, wealth management, investment banking, core banking, insurance wrappers, insurance processes, credit card issuing, loyalty programs, multi-channel strategies as well as risk & compliance, acquired in various projects for major Swiss banks and insurances, as well as companies in the marketing/internet/credit-card/health-care industries.
Originally, he was trained at ETH as a computer engineer and scientist and has gained master and doctoral degrees with distinction. He has a sound mathematical and engineering background and has successfully conducted research and managed research project during his work as scientific collaborators at ETH Zürich and INRIA Sophia Antipolis. Philipp is an official Swiss expert for ISO and the Swiss Bankers technical working group for Standards Technology & Methodology. He is regularly supervising master thesis work of computer science students at University of Mannheim, in the areas of semantic modelling, ontologies, no-code platforms, and data-modelling.
German
Native or bilingual
English
Native or bilingual
French
Fluent
Remote only
Primarily works remotely
Experience
- Swiss Social Security (AHV/IV)Process Architect and Business AnalystPUBLIC SECTORApril 2024 - August 2024 (5 months)St. Gallen, SwitzerlandThe Swiss social security administrations (AHV/IV) have grouped together in an interest association (IGS) which has the task to digitalize these public administration processes.As a process architect and business analyst my task was to contribute to a consistent mapping of the business processes required by the various business groups, and their implementation with a workflow engine. In the transition from a traditional project organization with numerous external vendors to a SAFe based agile release train, I helped to position the process architecture group as a major enabler of flow and efficiency in the new agile setup.Further I worked closely with data management to guarantee clear definitions in the firm wide glossary, to achieve coherent requirements for various software components developed. Part of my responsibility was to do the data management for an application that serves as record for the compliant work of each employee in form of protocols with 4-eye checks.
- Bank Julius BärBusiness ConsultantBANKING AND INSURANCESeptember 2023 - December 2023 (4 months)Zürich, SwitzerlandThe need for consolidated reporting across a client’s overall assets has led to corresponding reporting services. Different strategies and priorities have led to a business side operational risk of these services, which I needed to bring under new Product & Service governance policies, defining the product approval and live cycle management reporting.I was briefed in detail from operations management about the various operational models, serving various combinations of service models, which evolved over the years. I developed a conceptual framework and glossary to be able to express the product definition regarding the involved stakeholders, banking relationships, and services, including shadow booking, position vs transaction reconciliation.Further, for the review of the product in global product boards, I had to line out the characteristics, features, and benefits, as well as risks, pricing, and business model of the product, and coordinate with various business side stakeholders.
- LGT Private BankLead consultant data modeling and data managementBANKING AND INSURANCEJanuary 2023 - June 2023 (6 months)Vaduz, LiechtensteinLGT is an ultra-high net worth (UHNW) clients oriented private bank, strategically oriented towards sustainable investments. Consequently, they built a data framework group, for which I provided senior knowledge in data modeling and data management.My role was to re-evaluate their Semantic Modeling strategy based on PoolParty, as SKOS based tool to do Models/Taxonomies. I identified VocBench 3, a native OWL2 based widely used open-source tool as alternative and created a roadmap how to leverage FIBO (Financial Industry Business Ontology) in LGTs semantic modeling strategy.As well, I had to review their usage of data modeling with conceptual / logical / physical E/R models and the resulting meta-data from various data driven platforms such as Avaloq, Kafka Streams, BI Frameworks, Reporting tools.Based on my findings, I defined a simplified version of the TDM approach I developed for Business Records Management and generalized it for Data Management and Data Governance. I modeled the methodology with a clear conceptual framework and derived an Eclipse Modeling Framework based prototype allowing to work based on example for the glossary, TDM, and data dictionary parts of such data catalogs. The methodology was used for one possible variant to implement new 2023 critical data regulation from the Swiss regulator (FINMA).With this approach, I contributed to the detailed evaluation and proof of concept project for two data catalog tool vendors: Collibra and DataSpot. I showed how my approach can be implemented in Collibra by basically reflecting my meta-model with the Collibra built in OO no-code framework, and how in DataSpot my approach can be implemented out of the box as three connected models: one for the glossary, one for the TDM, the central entry point of the catalog, and one for each data dictionary.
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Education
- Computer Science, PhD (Dr. sc. ETH)ETH Zürich (Swiss federal institute of technology)2004Domain Specific Languages, Domain Specific Modelling
- Computer Science, Master (Dipl. Inf.-Int ETH) with DistinctionETH Zürich (Swiss federal instituate of technology)1996Computer Science