Finance Data Lead – Data Quality
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- ID:
- 2607046004W
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Lo que hacemos
En Kenvue, nos damos cuenta del extraordinario poder del cuidado diario. Sobre la base de más de un siglo de herencia y arraigados en la ciencia, somos el hogar de marcas icónicas, incluidas NEUTROGENA®, AVEENO,® TYLENOL,® LISTERINE,® JOHNSON'S® y BAND-AID® que ya conoces y amas. La ciencia es nuestra pasión; El cuidado es nuestro talento.
Quiénes somos
Nuestro equipo global está formado por ~ 22.000 personas brillantes con una cultura laboral en la que cada voz importa y cada contribución es apreciada. Nos apasionan las ideas, innovación y comprometidos con la entrega de los mejores productos a nuestros clientes. Con experiencia y empatía, ser un Kenvuer significa tener el poder de impactar a millones de personas todos los días. Ponemos a las personas en primer lugar, nos preocupamos ferozmente, nos ganamos la confianza de la ciencia y resolvemos con coraje, ¡y tenemos oportunidades brillantes esperándote! Únase a nosotros para dar forma a nuestro futuro y al suyo. Para obtener más información, haga clic en aquí.
Role reports to:
Finance Data Quality ManagerUbicación:
Asia Pacific, India, Karnataka, BangaloreLugar de trabajo:
HíbridoWhat will you
Job Summary
We are seeking a Finance Data Lead – Data Quality with strong functional expertise in finance data and master data, combined with working knowledge of data and reporting tools. This role will be responsible for owning, monitoring, and improving the quality of finance master and transactional data, ensuring data accuracy, completeness, consistency, and fitness for reporting and regulatory needs.
The ideal candidate brings deep understanding of finance processes (FI, CO, COPA reporting), experience in data quality management and issue resolution, and the ability to use tools such as SQL and Power BI to analyze, validate, and monitor data. This is a business‑driven data role, not a pure engineering role.
Key Responsibilities
Act as the Finance Data Quality lead, owning data quality across finance master data and key transactional datasets.
Define, monitor, and manage data quality rules, checks, and controls for finance data (accuracy, completeness, consistency, timeliness).
Partner with finance and accounting teams to understand business processes, reporting needs, and data issues.
Analyze data using SQL and other query tools to identify data defects, trends, and root causes.
Design and maintain Power BI dashboards and reports to track data quality metrics, issue status, and remediation progress.
Work closely with Master Data Management, Data Governance, Regional Finance Service teams to ensure alignment of finance master data across systems.
Support issue intake, defect tracking, prioritization, and resolution of data quality issues, working with upstream and downstream teams.
Perform reconciliations and validation between source systems, Reporting systems, and financial reports.
Document data quality standards, definitions, controls, and issue resolution processes.
Identify opportunities to improve controls, reduce recurring issues, and strengthen governance around finance data.
Required Qualifications
Bachelor’s degree in Finance, Accounting, Information Systems, Business Analytics, or a related field.
5+ years of experience in finance data, financial reporting, data quality, or data governance roles.
Strong understanding of finance data domains such as FI, CO, COPA, master data, and financial reporting.
Hands‑on experience with data quality management, data validation, reconciliations, and issue resolution.
Working knowledge of SQL to analyze and troubleshoot data issues.
Experience using Power BI (or similar BI tools) to build or interpret dashboards and reports.
Strong analytical mindset with attention to detail and data accuracy.
Ability to manage multiple priorities and work with cross‑functional stakeholders.
Preferred Qualifications
Experience in Master Data Management or finance data governance initiatives.
Understanding of finance concepts such as P&L, Balance Sheet, Cost Center, and Legal Entity structures.
Exposure to tools such as KNIME, Snowflake, Databricks, or similar platforms (functional usage; deep engineering not required).
Experience supporting audit, controls, or SOX‑related data activities.
Experience working in global or cross‑functional teams.
Soft Skills
Strong communication and stakeholder management skills.
Ability to translate business data issues into clear actions and requirements.
Proactive, ownership‑driven mindset with a focus on continuous improvement.
Comfortable working as a bridge between finance, data, and technology teams.
Strong documentation and knowledge‑sharing practices.
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