Articulate, interpret and apply the principles of overall data strategy to unique, moderately complex business problems that may span multiple functions or sub-domains
Drive workshops independently with the business to understand their use cases and facilitate across relevant stakeholders for implementing solutions addressing the pain-points
Lead the implementation of data governance policies and procedures within the finance and controls domain
Lead data governance forums for effective oversight and desired outcomes
Take ownership of building the financial business metrics library with attribute enrichment and play the role of a lead finance data steward
Responsible for data source identification, controls monitoring, data quality frameworks and metadata management
Define and gather business functional data quality rules for core financial metrics
Support finance transformation and operational teams in data-centric initiatives, ensuring fast, frictionless access to trusted data
Optimize financial hierarchy and lead hierarchy enrichment/attribution initiatives
Understand downstream impacts and communicate data changes effectively
Influence other teams to adapt data governance processes and procedures
Bachelor's degree in Business Administration, Finance, Accounting, Computer Science, Management Information Systems or a related field. A Master's degree or a professional certification (e.g., CPA, CFA) is a plus
Minimum of 5-7 years of experience in a data stewardship or data analytics role preferably in the retail industry
Strong understanding of financial data by sub-domains including FP&A, Company Planning and Corporate Controls
Previous hands-on experience in data quality management and data governance tools like Collibra, Alation etc.
Knowledge of management reporting tools like Essbase and Anaplan
Familiarity with Oracle ERP modules including Oracle Enterprise Data Management (EDM)
Leadership presence with the ability to present in front of C-Suite
Ability to analyze data and extrapolate knowledge to make strong recommendations
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