Reference code: JR129567
Richemont owns some of the world’s leading luxury goods Maisons, with particular strengths in jewellery, fine watches and premium accessories. Each Maison represents a proud tradition of style, quality and craftsmanship and Richemont seeks to preserve the heritage and identity of each of its Maisons. At the same time, we are committed to innovation and designing new products which are in keeping with our Maisons’ values, through a process of continuous creativity.
YOUR MISSION:
The Finance Data Product & Analytics Manager, APAC will play a key role within the Regional Finance Digital Development (RFDD) team in preparing APAC Finance for the transition to Google Cloud Platform (GCP) / Looker. The position will translate Finance needs into clear data product requirements, support migration readiness, develop Finance data products, and coordinate adoption follow-up with Group Finance, Group Data Office, Regional Tech, and market finance teams.
Beyond the migration phase, the position will help sustain, adopt, and maintain Finance data products by supporting business embedding, user adoption, issue follow-up, documentation, and continuous improvement. The position will also contribute to building a more sustainable operating model for APAC Finance data and analytics.
The position requires strong Finance judgment, practical data and analytics capability, and structured project management skills. It will work closely with the Head of Finance Digital & Analytics to support Finance data product delivery, selected Finance AI use cases, and long-term continuity.
HOW WILL YOU MAKE AN IMPACT?
1. Finance GCP / Looker Migration & Data Product Readiness
· Drive Finance GCP / Looker migration readiness, translating Finance priorities into requirements, use cases, semantic definitions, user acceptance testing scenarios, and validation criteria.
· Lead Finance data product readiness for selected domains, including management reporting, profitability analysis, and other priority Finance data products, with strategic priorities set by the Head of Finance Digital & Analytics.
· Align APAC user requirements with Group Finance, Group Data Office, Regional IT, Market Finance, and Finance stakeholders on data availability, business definitions, access, dependencies, and sign-off.
· Own migration readiness materials, including requirement packs, testing logs, issue logs, semantic definitions, product backlog, and sign-off documents.
2. Finance Analytics Engineering, Technical Collaboration, & Final Product Development
· Apply hands-on GCP / Looker and Finance analytics knowledge across SQL / BigQuery, semantic layer logic, Finance data modeling, data quality review, and solution design.
· Collaborate with technical teams on Finance data modeling, harmonization, and validation, while technical build ownership remains with the designated technical lead.
· Develop the technical outputs and final products for Finance end users, and troubleshoot any related issues.
3. Demand Intake, Adoption & Finance AI Use Cases
· Run RFDD’s demand intake process for Finance GCP / Looker, Finance data products, analytics, and Artificial Intelligence requests, including screening, prioritization preparation, decision tracking, and follow-up.
· Support structured discussions led by the Head of Finance Digital & Analytics with Market Finance Directors, Function Heads, Digital Champions, and Finance users, converting business needs into clear requirements and adoption actions.
· Shape selected Finance Artificial Intelligence use cases into pilot scopes, validation rules, prompt / output guidance, and Finance AI Playbook materials.
4. Project Execution, Communication & Continuity
· Deliver executive materials, including RFDD roadmap updates, governance packs, and stakeholder briefings.
· Manage project execution across timelines, risks, dependencies, actions, meetings, and escalation preparation.
· Build reusable documentation and playbooks to transfer RFDD’s GCP / Looker, Finance data product, governance, and support knowledge for the long-term continuity.
HOW WILL YOU EXPERIENCE SUCCESS WITH US?
· Bachelor’s degree or above in Finance, Accounting, Business Analytics, Information Systems, Data Analytics, Engineering, Computer Science, or related discipline.
· 8-10 years of experience in Finance analytics, business controlling, data product management, digital transformation, analytics engineering, or related roles.
· Strong hands-on experience in Finance GCP / Looker migration and data product delivery, with practical knowledge of SQL, LookML, & BigQuery, Finance data modeling, semantic layer logic, data quality review, user acceptance testing, business validation, and sign-off readiness.
· Strong Finance judgment with the ability to translate business needs into data product requirements, semantic definitions, validation criteria, and adoption actions.
· Strong stakeholder management across Finance, IT, and market users in regional or matrix organizations.
· Strong project management and executive communication capability, including timeline, risk, dependency, escalation management, PowerPoint storytelling, governance packs, decision papers, and senior stakeholder briefings.
