Posted 3mo ago

Finance Data Governance Manager

@ Lenovo
Petaling Jaya, Selangor, Malaysia
OnsiteFull Time
Responsibilities:Govern data, Standardize data
Requirements Summary:5+ years in finance/data roles; Bachelor's in Accounting/Finance/CS; strong Excel/PowerPoint; project management experience; SAP/BPC/Power BI a plus.
Technical Tools Mentioned:Excel, PowerPoint, SAP, BPC, Power BI
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Job Description
Key Responsibilities
Support the development and execution of the Finance data governance framework and roadmap across the Finance organization.
Implement and maintain financial data standards, guidelines, and controls to ensure compliance, data quality, and alignment with business requirements.
Partner closely with cross‑functional teams to analyze, resolve, and escalate data‑related issues and inquiries.
Manage and deliver assigned data initiatives or project workstreams, ensuring milestones and outcomes are achieved.
Apply structured analysis to investigate complex or ambiguous data issues and recommend practical solutions to stakeholders.
Basic Qualifications
Bachelor’s degree in Accounting, Finance, Computer Science, or a related field; Master’s degree is an advantage.
At least 5 years of relevant professional experience across finance, data, or related business functions.
Strong proficiency in Excel and PowerPoint, with the ability to create clear, professional, and executive‑ready presentations.
Minimum of 2 years of project or initiative management experience, working with multiple stakeholders.
Good understanding of end‑to‑end management reporting processes and financial data flows.
Strong analytical, problem‑solving, and attention‑to‑detail skills.
Effective communication skills, with experience working in cross‑functional and cross‑cultural environments.
Preferred Qualifications
Experience with SAP, BPC, and/or data visualization tools such as Power BI.
Exposure to data governance, finance transformation, or large‑scale reporting initiatives.
Project management or Lean Six Sigma certification is a plus.
Familiarity with data management concepts, processes, and design principles.
Experience supporting master data, metadata, reference data, or data quality management activities.