Client & Engagement Data Product Owner, Meyrin, Switzerland

Reference code: JR130246

Richemont vereint einige der weltweit führenden Maisons für Luxusartikel mit besonderer Expertise in der Fertigung von Schmuck, exklusiven Uhren und Premium-Accessoires. Jedes Maison steht für eine eigene stolze Tradition des Stils, der Qualität und des Handwerks, und Richemont hat sich zur Aufgabe gemacht, das einzigartige Erbe und die Identität jedes einzelnen Maison zu bewahren. Gleichzeitig verpflichten wir uns in einem kontinuierlichen kreativen Schöpfungsprozess der Innovation sowie der Entwicklung neuer Produkte auf Grundlage der besonderen Werte unserer Maisons.

YOUR MISSION:

As a Client & Engagement Data Product Owner in the Product Office, you will be instrumental in ensuring that business-relevant data within your designated product area is centrally available through a series of high-quality data products that you will have to build/enhance and maintain in collaboration with our internal data teams.

This means you will oversee the entire lifecycle of data products, from initial requirement capture and definition to successful delivery, roll-out, and adoption, ensuring alignment with Richemont's data governance standards. This role is key to accelerating data-driven decision-making across our Maisons, Functions, and Regions.

HOW WILL YOU MAKE AN IMPACT?

Discovery, Planning & Delivery:

Define and drive the roadmap for owned data products within your product area focusing on Clients, online and e-commerce, web analytics, partners, post-purchase and marketing.

Collaborate closely with the Group Data Office and Group Data Domain Leads.

Gather detailed business requirements from stakeholders across Maisons, Functions, and Regions, translating them into clear user stories and technical specifications.

Partner with the Group Data Office to design, prioritize, and plan data product delivery, ensuring technical implementation meets business and governance requirements.

Oversee functional testing and validation to ensure data products meet defined needs.

Data Governance:

Work with Group Data Domain Leads to apply data governance requirements throughout the product lifecycle, from data ingestion to sharing.

Ensure adherence to Group data governance principles and standards for raw data and data products, including data classification, field-level documentation, and data quality monitoring.

Implement and document access rules in accordance with access policies.

Adoption & Enhancements:

Drive the adoption and usage of owned data products across Maisons, Functions, and Regions.

Develop and deliver training materials and documentation to support optimal data product usage.

Provide ongoing functional support and guidance to users and proactively identify opportunities for continuous innovation.

Manage new business requests and conduct regular updates on data product evolution.

Interactions:

You will collaborate closely with:

Group Technology: To align on technical architecture, data models, and integration mechanisms.

Group Data Office: To ensure best practices and adherence to Group-wide data governance for central data products.

Group Data Leads (Domains and Maisons): To understand domain needs, governance requirements, and promote core data product adoption.

HOW WILL YOU EXPERIENCE SUCCESS WITH US?

+7 years working experience in a related field

Education & Experience: Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Data Science, Engineering, Business Administration) or equivalent practical experience on the job.

Data Product Management: Proven ability to manage the entire lifecycle of technical data products, from discovery and definition to delivery, adoption, and continuous improvement.

Technical knowledge:

Solid understanding of data management and governance principles, including data classification, data quality, and access control.

Experience with cloud data platforms, specifically Google Cloud Platform (GCP).

Proficiency in querying and manipulating data, with strong knowledge of BigQuery or similar large-scale data warehouses.

Knowledge of data visualization tools, specifically Looker.

Familiarity with data integration techniques, data modeling, and data pipeline concepts.

Ability to translate complex business requirements into clear and actionable technical specifications, user stories, and acceptance criteria.

All certifications proving above technical knowledge are considered as a plus.

Domain & Business Understanding:

Understanding of business processes within a product-oriented environment.

Ability to ensure data generated in products supports business processes and is properly integrated, modeled, and available.

Soft Skills:

Exceptional analytical and problem-solving skills.

Proven ability to manage interactions with diverse business stakeholders, including senior management, and foster collaboration across Maisons, Functions, and Regions.