Come Join an Inclusive Team

Enterprise Data Steward Data Quality (DQ) is responsible for establishing and implementing a data quality and program management framework, driving consistent requirements around data quality, data standards, access, and utilization, and promoting processes that improve and sustain high data quality across the portfolio.

This is an individual contributor, team leader role that will influence across multiple departments and function as an advisory role reporting to the Director, Enterprise Master Data Governance. This role is part of the Enterprise Data Governance Team (DGT), working together with data stewards from across other domains. The DGT will collectively be responsible for implementing (directly and through influence) cross-functional data governance processes and standards across all master data domains.

This inaugural role will be pivotal in developing the Enterprise Data Quality Roadmap, master data governance requirements and best practices, the development of the OE structure and documents, and the global roll-out and adoption of the developed policies, requirements, and best practices, including training, support, and advisement. Additionally, this role will be critical to the development and execution of the assurance and sustainment processes required to achieve excellence in master data stewardshi

A Day in the Life

• Advise the Director of Enterprise Data Governance and Leadership regarding data quality processes, tools, improvement recommendations, strategies, opportunities, and threats.
• Develop and drive process and data quality improvements.
  • Deployment and adoption of data quality requirements and best practices
  • Map out roles and responsibilities related to data quality governance across all domains.
  • Build data quality improvement strategies and assist with business functions as needed regarding management of resources, budget, and data quality improvement execution.
  • Identify data quality gaps and deliver solutions for data governance process design or redesign efforts and be accountable for their successful implementation.
  • Develop meaningful KPIs on data quality improvement, sustainment, and the data quality program to effectively monitor the impacts of governance processes in driving desired data quality and consistency outcomes.
  • Day-to-day management and ownership of Enterprise Data Governance quality processes, requirements, and project portfolio management.
• Active project team participation regarding master data quality projects and initiatives.
• Collaboratively support and influence the M&A business/operational data teams; IT /digital technical teams; project teams, and data owners to adopt and embed the established data governance standards and policies into the operational or technical aspects. This includes-
  • dentifying data quality issues, mapping data owners, building roadmaps and a decision-making framework.
  • Establishing data quality standards for the domains and aligning on master data RACI across domains
  • Identifying the tools and technology needed to support the implementation process and ongoing sustainability.
• Collaborates with the Global Process Owner organization and Data Quality teams to influence the implementation /formalization of appropriate KPIs and measurement systems that track progress on desired data quality outcomes and effectiveness assurance of governance processes within the finance domain and mitigate adverse impacts across end-to-end business processes.
• Actively participate in all assessments and audits regarding master data and support closure of findings or recommendations.
• Drive continuous improvement of existing procedures and protocols around data quality management operations.

You Bring This Value

• Bachelor’s degree or equivalent experience in Business Administration, Computer Science, Information Systems, Engineering, Finance, or 8 years equivalent experience leading data-related projects in the field.
• 10+ years of total experience with 5+ years of management or leadership experience or Data-related experience in an international environment
• Leadership at the manager/Senior Analyst / Project-owner level in a large, complex global organization with responsibilities for people, processes, resources, and results
• Recognized within the data field/process area as knowledgeable, credible, and trusted partners regarding Master Data and the interdependencies on processes and systems.
• Expertise in business, data, or systems processes, with strong cross-organizational credibility
• Solid understanding of data quality, metadata and impacts of changes, complemented with strong knowledge of business requirements and data needs within the finance domain.
• Strong leadership, influencing and communication skills plus the ability to manage/drive multiple diverse perspectives/projects and drive stakeholder alignment.
• Display effective decision-making capabilities.
• Proven excellence in process management skills as well as an understanding of how master data impacts processes and business solutions
• Broad experience and understanding of systems/SAP disciplines, standards, and best practices.

Competencies