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Strong employer brand, mid-level generalist data role, metro location, and common SQL/Python skills raise competition.
Core data governance skills transfer across industries, but sustainability and pharma regulatory knowledge moderately limit fit.
Mandatory data governance/domain experience, SQL/Python skills and regulated reporting expectations make shortlisting strict.
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Own day-to-day stewardship of sustainability data (Scope 1, 2, 3) ensuring accuracy, completeness, and alignment to standards for trusted reporting and decision-making across enterprise.
Manage data quality by monitoring, prioritizing, and resolving issues in collaboration with data/system owners, protecting regulatory submissions and disclosures.
Develop and maintain data standards, metadata catalogues, and data products by partnering with technical teams and driving governance processes and adoption globally.
Degree in relevant field (Data, Business, Finance, Sustainability, Engineering) or equivalent experience.
Proven experience in data governance, data quality, or data management roles working with structured datasets and enterprise systems.
Proficiency in SQL and Python for data extraction, querying, analysis, and validation checks.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in operationalizing data governance and quality frameworks across global, cross-functional teams in enterprise contexts.
Familiar with sustainability or ESG data, able to manage complex datasets related to emissions and energy reporting.
Skilled at bridging business and technical teams to co-create data products and embed standards, with detailed-oriented analytical approach.