About this role
Your area of work: As a Data Analytics Product Manager within Clearstream Fund Services' Data Analytics & Governance team, you will drive the development, delivery, and continuous evolution of data products that create measurable business value and support data-driven decision-making. Acting at the intersection of business, technology, and data, you will translate strategic priorities into scalable analytics solutions while fostering innovation, self-service capabilities, and AI-driven opportunities across the organization. You will also champion data quality and governance principles to ensure trusted, sustainable, and impactful data products. Your responsibilities: Manage a portfolio of data products and use cases throughout their lifecycle, from ideation and prioritization to delivery, adoption, and continuous improvement. Define product roadmaps, priorities, business cases, and success metrics aligned with business and strategic objectives. Partner with business stakeholders, IT teams, data engineers, data scientists, and governance functions to translate business needs into actionable product requirements. Drive Agile product delivery, including backlog management, sprint planning, stakeholder reviews, and release readiness activities. Identify opportunities to enhance business outcomes through analytics, automation, AI, and self-service reporting capabilities. Collaborate on the design, prototyping, and industrialization of advanced analytics and AI-enabled solutions. Embed data quality, governance, metadata, and lineage requirements into product design and delivery processes. Prepare and present business cases, product updates, and performance insights to senior stakeholders. Your profile: Master's degree in Economics, Finance, Business Administration, Information Management, Data Analytics, or a related discipline. Minimum 3 years of professional experience in Data Product Management, Data Analytics, Business Analytics, or a comparable role within the financial services industry, preferably with exposure to investment funds. Proven experience delivering data and analytics initiatives from requirements gathering through implementation and business adoption. Strong understanding of data ecosystems, modern data platforms, data lakes, data warehouses, and Agile delivery methodologies. Knowledge of data governance, data quality management, metadata management, and data lineage concepts. Hands-on experience with SQL and Business Intelligence tools. Exposure to AI, advanced analytics, machine learning initiatives, or data science projects is considered an advantage. Excellent stakeholder management and communication skills, with full professional proficiency in English; additional European languages are considered a plus.