Amway is the world’s #1 direct selling company and one of the largest family-owned businesses globally. Since 1959, we’ve been empowering people with innovative solutions and over 450 premium products in nutrition, beauty, and home care. Sold exclusively through our network of independent distributors and our webshop, our products help millions live healthier, more vibrant lives. With a presence in over 100 countries and $7.2 billion in revenue in 2025, Amway continues to lead the way.

Our top brands? Nutrilite™ – the world’s #1 brand of vitamins and supplements, ARTISTRY™ – high-performance skincare and beauty, and eSpring™ – cutting-edge water filtration systems.

The Finance Data & Analytics Lead serves as the primary embedded specialist connecting Finance process knowledge to the GCP Finance data platform. Working as a trusted Finance data partner to RTR, OTC, and PTP Global Process Owners and the broader Finance community — including FP&A, Tax, Treasury, Commercial Finance, Supply Chain Finance, Internal Audit, and Operations Finance — this role translates deep Finance process expertise into trusted, well-governed, and reusable data assets.

The Finance Data & Analytics Lead is the single authoritative voice on Finance business rules, data definitions, and data quality within the GCP environment. The role acts as the connective layer among Finance stakeholders across all functions, the Technology/ACE platform team, the external delivery partner (Dataplatr), and Finance end-users — ensuring that data delivered through the platform is accurate, business-meaningful, and ready for self-service analytics.

Primary responsibilities:

• Author and maintain business-logic curation rules across 120+ Finance data subject areas; ensure that raw platform data is translated into business-ready, Finance-meaningful data assets with clear lineage, consistent definitions, and documented business meaning.
• Run subledger-to-GL validation each sprint cycle; verify data integrity between source systems (JDE, EBS) and the GCP Finance data lake prior to each platform release, and escalate discrepancies to the D&A Governance & Automation Hub Lead and Technology team.
• Steward the Finance data catalog, glossary, and quality assertions; own the definitions of KPIs, business rules, and data standards across all Finance functions (RTR, OTC, PTP, CAST, FP&A, Tax, Treasury, Commercial Finance, Supply Chain Finance, Internal Audit, and Operations Finance), ensuring a consistent and governed single source of truth across the platform.
• Serve as the front-line Single Point of Contact (SPOC) for Dataplatr in sprint ceremonies; translate Finance business requirements and validation findings into actionable data engineering specifications, and sign off on delivered data assets on behalf of Finance.
• Partner with Technology's ACE team (GCP architects) to define functional Finance data architecture needs; ensure source-system data is shaped and enriched into business-ready Finance data products that are fit for downstream analytics and reporting use cases.
• Engage Finance stakeholders across all functions — including RTR, OTC, PTP GPOs, FP&A, Tax, Treasury, Commercial Finance, Supply Chain Finance, Internal Audit, and Operations Finance — to capture, document, and harmonize business rules, data definitions, and reporting logic; maintain an up-to-date and governed Finance data semantics layer.
• Lead the Finance-wide training and capability-building programme on the new GCP analytics platform and self-service BI tools; plan and execute the migration of Finance users off legacy tools (BI Apps and Rapid Decision) as replacement capabilities come online.
• Contribute to and maintain the Finance D&A use-case funnel; work with Finance stakeholders across all functions to capture, document, and score new data and analytics use cases for prioritization and delivery through the central backlog.
• Identify, document, and escalate data quality issues, lineage gaps, and data governance risks; maintain active quality monitoring assertions for all Finance data assets in the platform.
• Support the definition and implementation of the IAM / RLS (Identity and Access Management / Row-Level Security) model for Finance data; define appropriate data access levels aligned to process area, function, role, and geography.
• Coordinate with the Automation Hub (Kraków and Kuala Lumpur) to align Finance data outputs with automation and reporting use cases; serve as the Finance data authority for Hub-delivered automation solutions

Required Knowledge, Skills, Abilities and/or Related Experience:

• Strong working knowledge of Finance processes with particular depth in RTR (Record-to-Report); solid understanding of OTC and PTP, with working awareness of FP&A, Tax, Treasury, Commercial Finance, and Supply Chain Finance operations
• Demonstrated hands-on experience with financial data in ERP environments (JDE, EBS, SAP, Oracle, or equivalent) — including the ability to trace and validate data flows from subledger through to GL and consolidated reporting
• Experience authoring or maintaining data definitions, business rules, data dictionaries, or data catalogs in an enterprise Finance setting
• Data and BI proficiency as a working background skill: comfortable with SQL for data validation and exploration, and experienced with BI or reporting tools (Power BI, Tableau, Business Objects, or similar) — including building, validating, or supporting Finance reports and dashboards
• Ability to translate complex Finance business logic into clear, documented data and reporting specifications that technical teams can implement without further interpretation
• Rigorous analytical mindset with attention to data accuracy, completeness, and consistency across large and complex Finance datasets
• Proven ability to engage and manage multiple Finance stakeholder groups simultaneously, across different functions and seniority levels, in a collaborative and service-oriented manner
• Fluent written and verbal English; able to document complex business logic clearly for both technical and non-technical audiences, and to facilitate cross-functional alignment sessions
• Experience participating in agile or sprint-based delivery cycles with external vendors or technology teams
• Familiarity with cloud data platforms — GCP (BigQuery, Looker), Azure, or AWS — and data lake or data warehouse architectures
• Experience with data governance tools or frameworks (data catalogs, lineage tools, quality monitoring dashboards)
• Knowledge of IAM or role-based data access control models in a Finance enterprise environment
• Experience delivering end-user training or change management for tool migrations in a Finance context
• Background in a GBS, shared services, or Finance Center of Excellence environment