We are looking for an AI & Data Solutions Analystto join our central AI team. This role is dedicated to the Enterprise Data & Solutions (ED&S) platform, which brings together the firm’s data, analytics, solution delivery, and Corporate Functions transformation capabilities. Sitting at the intersection of the business and AI solution delivery, you will work closely with ED&S stakeholders and relevant business teams to identify opportunities, design data-driven and AI-powered solutions, and drive their adoption across the organization.
You combine strong analytical and stakeholder management skills with a genuine passion for AI/ML technologies and the ability to get hands-on when needed. You will act as a critical bridge between business teams and our AI/ML engineers, ensuring solutions are both technically sound and truly fit for purpose, while owning them end-to-end.
Business Analysis & Process Design
Fundamentally rethink and redesign processes end-to-end, leveraging AI/ML and data as enablers — going well beyond requirements gathering to owning the full solution design;
Develop solution designs that challenge existing ways of working, identifying where AI can eliminate manual effort, improve decision-making, or unlock new capabilities;
Collaborate with stakeholders to document current-state processes, identify gaps and inefficiencies, and translate the target-state vision into user stories and functional deliverables;
Facilitate ideation and scoping workshops to prioritize new AI and data use cases for the Enterprise Data & Solutions (ED&S) platform and across platforms;
Define and present conceptual approaches and solution options, driving stakeholder decision-making;
Prepare training materials and lead change management efforts to drive adoption of new tools and solutions.
AI & Data Solution Delivery
Translate business requirements into clear technical specifications for AI/ML solutions, acting as the bridge between business and technology teams;
Support the configuration, testing, and deployment of AI tools and data-driven platforms; build and test prototypes to validate the technical and business feasibility of envisioned solution designs before committing to full delivery;
Prepare test cases, execute user acceptance tests, and obtain sign-off from business stakeholders;
Stay current with generative AI and ML developments and proactively identify opportunities to apply them within the firm.
Project Management & Product Ownership
Act as product owner for AI/data solutions, maintaining and prioritizing the product backlog, defining acceptance criteria, and ensuring delivered increments meet business objectives;
Manage the end-to-end delivery process in close collaboration with AI/ML engineers and data specialists — organizing sprints, tracking progress, removing blockers, and keeping stakeholders aligned.
Requirements
University degree in Business, Economics, Business Informatics, Information Technology, Data Science, or a related field;
At least 2–3 years of professional experience in a role involving AI/ML solution design, data-driven transformation, or AI product delivery — either in financial services, a technology company, or a consulting firm with a focus on AI/data projects;
Solid understanding of AI/ML concepts, including generative AI and large language models, with a strong desire to apply them in a business context;
Proven analytical and problem-solving skills with the ability to quickly grasp both business needs and technical constraints;
Experience working with data — including data modeling, analysis, and interpretation — to support requirements prioritization and solution design;
Comfortable working hands-on with tools and prototypes; basic familiarity with Python, SQL or React is a plus;
Proactive personality who takes ownership, uses initiative, and delivers reliably with a high level of integrity;
Constructive challenger of the status quo, always looking for better ways to improve processes and outcomes;
Strong team player, able to collaborate effectively at all levels of the organization;
Excellent written and verbal communication skills in English; German is a plus.
What you can expect
We providemodern working conditions, including work-from-home options, flexible hours and a home office allowance to ensure staff members have a work environment equipped with the latest technology;
Adiverse culturefounded on mutual respect, teamwork and appreciation awaits you at LGT Capital Partners. We go the extra mile to generate impact;
We empower and invest in you your professional development and personal growth are our priority. We offer various internal and external training opportunities that are aligned with your ambitions and our business needs. If you are interested, you can also enhance your German or English language skills
We are proud to be owned by thePrincely Family of Liechtensteinand our company is inspired by its entrepreneurial spirit;
Commitment to ESG:our approach to business is influenced by the Princely Family’s long-term perspective. Sustainability is key for us and has shaped our actions since 2002;
You benefit fromfavorable terms and conditionsif you wish to participate in LGT Capital Partners’ investment programs or to use LGT banking products and services.
Contact Information
If you are interested in becoming an integral part of a successful alternative investment management team in an international, multicultural working environment we will be pleased to get to know you soon.
For further information please contact us.
Alexandra Hohermuth
Human Resources
LGT Capital Partners AG, Pfaeffikon
Contact:
+41 58 261 86 62

LGT Capital Partners is a leading global specialist in alternative investing with over USD 110 billion in assets under management and more than 700 institutional clients in 50 countries. An international team of over 900 professionals is responsible for managing a wide range of investment programs focusing on private markets, multi-alternatives and diversifying strategies as well as sustainable and impact strategies. Headquartered in Pfaeffikon (SZ), Switzerland, the firm has offices in San Francisco, New York, Dublin, London, Paris, The Hague, Luxembourg, Frankfurt am Main, Vaduz, Dubai, Beijing, Hong Kong, Tokyo, Singapore and Sydney.