Conduct in-depth analysis of data to identify trends, patterns and opportunities in data quality, leveraging the use of AI capabilities
Facilitate cross-functional collaboration and implement the required data quality monitoring tools and processes
Work closely with business functions to define the roles needed to help establish a Data Management Governance team
Assist in promoting effective use of standards for data management and governance
Engage in Data Governance working sessions with business functions and IT to support governance standards, practices and workflows
Lead the Data Architecture reviews with Data Engineering teams, setting and reviewing standards
Develop data quality standards, business requirements, data cataloging, data dictionaries, data lineage, and definition of KPIs for Master Data Domains, Transactional Data, and Business Metrics
Resolve cross-functional issues raised by Data Stewards, Data Quality Leads, Data Custodians, and Regions / Functions and escalate to D&A Leadership when necessary
Participate in change management to communicate data management solutions, develop training approach and materials, and facilitate adoption of data management standards and tools
Coordinate with Business Data Stewards and the IT function to ensure identified data issues are resolved in a timely and effective manner
Collaborate with team and other project leaders to develop data management strategic and operation plans including prioritization and coordination of future initiatives
Develop business acumen across functions to translate business needs to D&A development teams
Review and test solutions built to ensure they conform to requirements
Assist in exploring AI to identify data quality opportunities, including but not limited to validating datasets, collaborating with data scientists and engineers, implementing monitoring tools to detect anomalies, supporting AI governance in documentation, lineage tracking and compliance checks

Requirements

10+ years of experience in data assets, information management
3–5+ years of experience working with data quality and AI enabled solutions, including validation, monitoring, or automation use cases
Strong hands on SQL experience, including writing and optimizing complex queries to support data analysis, data validation, and reporting
Strongly desired experience in Consumer-Packaged Goods (CPG), including familiarity with POS data and store execution metrics
Functional knowledge in SAP S4 (one of Commercial/Sales, Supply Chain, or Finance) required
Prior experience with database management, including relational databases and structured data environments
Experience with metadata management, data catalogs, and lineage tools, such as Microsoft Purview or Collibra

Benefits

Comprehensive health and medical benefits
401(k) Retirement savings plan
Professional growth and leadership training
Paid vacation, holidays, and parental leave

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisdata qualityAI capabilitiesSQLdata validationdata monitoringdata governancedata architecturemetadata managementdata cataloging

Soft Skills

cross-functional collaborationcommunicationproblem-solvingchange managementtraining developmentstrategic planningbusiness acumen