LGT Private Banking

Product Manager

• Develop and communicate a clear product vision aligned with company strategy
• Refine the product vision based on feedback and changing market conditions
• Collaborate with stakeholders to identify requirements, risks, opportunities, and trends and design end-to-end processes
• Build, prioritise, and maintain the Product Backlog or ART Backlog
• Formulate and rank initiatives, epics, and user stories
• Set priorities based on business value, company goals, and technical feasibility
• Own the product roadmap and release planning
• Optimise delivery and operations through Sprints and Program Increments
• Gather and manage requirements from relevant stakeholders
• Address issues, risks, and dependencies to ensure smooth delivery
• Facilitate collaboration and feedback loops among business, stakeholders, development, and quality assurance
• Coordinate releases and approvals and support adherence to Definition of Ready/Done
• Lead market introduction and communication of releases
• Analyse KPIs, customer feedback, and market data to further develop the product
• Foster agile principles, continuous learning, and innovation
• Leverage agile tools for transparency, planning, and documentation
• Prepare and participate as a key stakeholder in backlog refinement and workshops
• Lead in close collaboration with Scrum Masters/RTEs, Architects, and agile teams

CLM Product Owner – 80-100%

Artificial Intelligence

• Lead the development, implementation and continuous improvement of the group-wide AI governance framework, including policies, standards, controls and guidance.
• Drive the operationalisation of AI governance across the AI lifecycle, from use-case intake and risk assessment to approval, monitoring and periodic review.
• Act as a trusted advisor to business, technology and control functions on responsible AI practices, regulatory expectations and governance requirements.
• Maintain oversight of AI use cases, inventories and documentation to support transparency, auditability and consistent governance across locations.
• Monitor regulatory and industry developments related to AI, data, model risk and digital banking, and translate them into practical requirements.
• Prepare reporting, recommendations and decision materials for senior stakeholders, governance bodies and control functions.
• Promote awareness and adoption of responsible AI through training, guidance and collaboration across the group.

Senior AI Governance Manager

Project Manager

• Facilitate team ceremonies, including Daily Standups, Sprint Planning, Retrospectives and other ceremonies as required
• Foster an environment for high performance and facilitate the team to be more productive and effective
• Work closely with the Senior Business Analyst and Business Owners to facilitate delivery of prioritised initiatives
• Facilitate estimation of initiatives with Business Analysts, Developers and Quality Analysts
• Develop plans covering required work, resourcing, scheduling and budget planning
• Coordinate initiatives across teams and manage dependencies, rhythms and meeting cadences
• Manage risk, quality and progress to ensure implementation is on time, on budget, to quality standards and within agreed scope
• Deliver non-technical components including business stakeholder engagement, communications and business readiness
• Communicate project deliverables and escalate issues affecting timelines or costs
• Run project governance forums including Steering Committees and Working Groups
• Plan and facilitate Big Room Planning/PI Sessions
• Evaluate and identify improvements for future projects and the delivery framework
• Support strategic change initiatives across the LGT Wealth Management business, particularly financial products implementation projects
• Partner with business stakeholders and Business Owners to facilitate project initiation, define delivery approaches and drive successful outcomes
• Own end-to-end delivery of projects across business and technology workstreams

• Support strategic change initiatives across the LGT Wealth Management business, focusing on financial products implementation projects
• Partner with business stakeholders and Business Owners to facilitate project initiation and define delivery approaches
• Drive successful project outcomes and manage end-to-end delivery
• Manage business and technology workstreams, milestones, risks, and dependencies
• Facilitate Daily Standups, Sprint Planning, Retrospectives, and other team ceremonies
• Foster high-performing, productive, and effective teams
• Work with Senior Business Analysts and Business Owners to deliver prioritised initiatives
• Facilitate initiative estimation with Business Analysts, Developers, and Quality Analysts
• Develop project plans covering work, resourcing, scheduling, and budget planning
• Coordinate initiatives across teams and manage dependencies, rhythms, and meeting cadences
• Manage risk, quality, progress, scope, budget, and timelines
• Deliver non-technical components including stakeholder engagement, communications, and business readiness
• Communicate project deliverables and escalate issues affecting timelines or costs
• Run Steering Committees and Working Groups
• Plan and facilitate Big Room Planning/PI Sessions
• Evaluate improvements for future projects and the delivery framework

Full-stack Engineer

• Develop, enhance and operate solutions for Client Lifecycle Management processes, from onboarding and KYC to ongoing client reviews and approval workflows
• Design and implement scalable, workflow-driven backend services using Java and Spring Boot
• Build robust RESTful APIs and integrations
• Develop relational data models and persistence layers using SQL and JPA/Hibernate
• Ensure data integrity, performance, auditability and data-retention requirements
• Contribute to modern, component-based user interfaces using TypeScript and Web Components
• Analyse and resolve complex incidents, defects and issues across backend services, databases and integrations
• Work with business stakeholders and domain experts to translate business and regulatory requirements into sustainable technical solutions
• Own features and technical decisions and contribute to architecture and engineering practices
• Ensure quality, security and compliance through automated testing, code reviews and CI/CD processes

CLM Product Owner – 80-100%

Senior AI Governance Manager

Project Manager

Project Manager

Full Stack Developer, Client Lifecycle Management