Team Head

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together. The Team Head for Data Platform & Analytics serves as business owner of the Global Data Platform (GDP) and leads the bank’s data and analytics agenda. This role defines the vision, strategy, and roadmap for the platform, ensuring it delivers measurable business value and enables informed decision-making across the organisation.In a transforming environment, the role connects existing capabilities, sets direction, and expands the reach of data and analytics. It blends strategic leadership, stakeholder collaboration, and delivery oversight to advance both the data platform and the bank’s data science capabilitiesYOUR CHALLENGEBusiness ownership of the Global Data Platform:Define the platform’s vision, target state, and roadmapAlign business and IT on priorities, scope, and delivery outcomesEnsure the platform provides trusted, high-quality, and reusable data assetsStakeholder engagement and scope development:Design effective engagement models with business unitsAlign priorities with business stakeholders and develop mutually supported roadmapsDrive platform adoption, expand use cases, and manage governance and funding; enable clear prioritisation and value reportingLead growth in data assets through improved modelling and quality assuranceAdvance data science capabilities:Promote and coordinate advanced analytics initiatives across the bankSupport tools, best practices, and expert communitiesSecure resources and foster talent development for critical data projectsContribution to enterprise data & AI strategy:Shape and evolve the bank’s overarching data and AI strategy in line with GDP objectivesCollaborate with technology, risk, and business functions to set governance and standardsRepresent the data function in key strategic programmes and executive forumsYOUR PROFILEEducation & Experience:University degree in Business Administration, Data Science, Computer Science, or related fieldMinimum of 10 years of experience in data strategy, enterprise data platforms, or digital transformation programs within highly regulated industries Relevant background in banking or wealth management. Understanding of banking operations, regulations, and data needsProven ability to lead complex, cross-functional initiatives from a business perspectiveProven ability to achieve impact in an indirect leadership situation and securing commitments from diverse stakeholdersSolid understanding of modern data architectures, governance frameworks, and analytics ecosystems (e.g., Databricks, Snowflake) – effective to guide technical teams and evaluate solution designsCompetencies and Attributes:Leadership through influence — builds trust, secures commitments, and drives action without direct authorityStrategic mindset with strong analytical and problem-solving skills; capable of shaping a compelling vision for data-led innovationOutstanding communication and interpersonal skills — adept at translating technical concepts into business value for executives and peersEntrepreneurial and proactive — takes initiative, challenges status quo, and creative and resilient in the face of resistanceLong-term impact orientation — thrives in multi-year transformations, bringing consistency, resilience, and stakeholder continuity to deliver sustainable value in complex environmentsProgramme leadership experience — balances strategic direction with operational delivery in complex environmentsHigh ethical standards and sensitivity to data privacy, security, regulatory compliance, and conduct risk in financial servicesWe are looking forward to receiving your full job application through our online application tool.