Job Description

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 capabilities.

YOUR CHALLENGE

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Business ownership of the Global Data Platform:

Define the platform's vision, target state, and roadmap Align business and IT on priorities, scope, and delivery outcomes Ensure the platform provides trusted, high-quality, and reusable data assets

Stakeholder engagement and scope development:

Design effective engagement models with business units Drive platform adoption, expand use cases, and manage governance and funding; enable clear prioritisation and value reporting Lead growth in data assets through improved modelling and quality assurance

Advance data science capabilities:

Promote and coordinate advanced analytics initiatives across the bank Support tools, best practices, and expert communities Secure resources and foster talent development for critical data projects

Contribution to enterprise data & AI strategy:

Shape and evolve the bank's overarching data and AI strategy in line with GDP objectives Collaborate with technology, risk, and business functions to set governance and standards Represent the data function in key strategic programmes and executive forums

YOUR PROFILE

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Education & Experience:

University degree in Business Administration, Data Science, Computer Science, or related field Minimum 5 years' experience in data management, analytics, or digital transformation Relevant background in banking or wealth management Proven ability to lead complex, cross-functional initiatives and manage diverse stakeholders
Candidate Profiles (One of Two Tracks):

A. Data Platform / Technical Profile

Experience implementing or running an enterprise-scale data platform Strong grasp of data architecture, modelling, and governance Knowledge of analytics platforms and modern tools (e.g., Databricks, Snowflake) + Understanding of banking operations, regulations, and data needs

B. Strategy / Business Profile

Background in strategy consulting or corporate strategy, preferably involving data/digital/technology Ability to turn business goals into actionable, data-led strategies Experience driving alignment and execution in large organisations Solid analytical skills and capacity to master technical domains quickly

Competencies and Attributes:

Leadership through influence--able to drive results without direct authority Strategic thinker with strong problem-solving and analytical abilities Excellent communicator and collaborator with superior stakeholder skills Entrepreneurial, proactive, and accountable Skilled in project management--balancing vision with operational demands Conscious of risks, data quality, and compliance in financial services
We are looking forward to receiving your full job application through our online application tool.