Enterprise Data Management Associate Director

A collective energy and ambition. A place where you can make a real difference.

• Support the development and execution of the enterprise data management strategy and roadmap. 

• Establish and maintain practical data governance policies, standards, decision rights, and operating routines. 

• Lead governance councils, stewardship forums, and working teams that prioritize and resolve cross-functional data matters. 

• Align data initiatives to business strategy, operational priorities, risk requirements, and transformation programs. 

• Communicate the business value, progress, risks, and outcomes of the data portfolio to senior leaders. 

• Lead governance for critical data domains such as product and material, customer, supplier, finance, and other organizational data. 

• Oversee end-to-end data lifecycle processes, including creation, approval, maintenance, distribution, and retirement. 

• Improve consistency across enterprise resource planning, planning, reporting, commercial, and operational platforms. 

• Partner with business and technology teams to resolve systemic issues, simplify processes, and reduce rework. 

• Guide master data requirements for major programs, integrations, acquisitions, and system implementations. 

• Drive global standardization of master data structures, naming conventions, classifications, and business rules  

• Evaluate emerging industry standards and determine applicability to organizational data and governance processes  

• Define data quality measures, thresholds, ownership, and monitoring practices. 

• Establish controls that improve data accuracy, completeness, consistency, timeliness, and traceability. 

• Lead root-cause analysis and sustainable remediation of material data issues. 

• Create clear performance reporting for data owners, governance forums, and executive stakeholders. 

• Establish controls and monitoring processes 

• Ensure data practices support and adhere t0 audit, compliance, privacy, security, and records requirements 

• Build and sustain a network of accountable Data Stewards. 

• Define role expectations, decision rights, escalation paths, and measures of stewardship effectiveness. 

• Develop communications, training, playbooks, and change plans that increase adoption of data practices. 

• Promote data literacy and a culture in which teams understand and act on their data responsibilities. 

• Coach team members and emerging data leaders, creating clear development opportunities and succession depth. 

• Partner with analytics, reporting, automation, and AI teams to provide governed and reliable data foundations. 

• Advance the use of business glossaries, data catalogs, data dictionaries, lineage, and metadata standards. 

• Ensure data products and reports have clear ownership, definitions, quality expectations, and approved usage guidance. 

• Support the Data Platform team scale data platforms with adherence to processes that balance governance with business speed. 

• Lead complex, cross-functional initiatives from strategy through implementation and adoption. 

• Actively participate and lead data integration needs of Acquisition, Mergers and Divestitures 

• Develop roadmaps, business cases, delivery plans, milestones, measures, and executive-level updates. 

• Influence stakeholders across Finance, Supply Chain, Commercial, Manufacturing, Human Resources, Analytics, and Technology. 

• Manage priorities, risks, dependencies, budgets, vendors, and issue resolution as required. 

• Translate business needs into clear data capabilities and translate technical concepts into practical business language. 

• Is a trusted advisor on data management strategy, governance, and business process standardization. 

• Data governance, master data management, data quality, metadata, lineage, and stewardship operating models. 

• Strategic thinking paired with disciplined program and change management. 

• Executive communication, facilitation, negotiation, and stakeholder engagement. 

• Business process analysis, continuous improvement, risk management, and controls. 

• Practical understanding of data architecture, integration, reporting, analytics, and AI data requirements. 

• Ability to make progress in ambiguous situations, balance competing priorities, and focus teams on outcomes. 

Measures of Success

• Improved quality, consistency, and availability of priority enterprise data.
• Reduced defects, duplicate effort, manual rework, and time required to resolve data issues.
• Clear ownership and stronger participation across governance and stewardship communities.
• Adoption of common policies, standards, definitions, controls, and lifecycle practices.
• More reliable reporting, analytics, automation, and AI outcomes supported by trusted data.
• Improved audit readiness, risk management, and compliance performance.
• Delivery of roadmap commitments and measurable business value.

• Bachelor's degree in information systems, business, data analytics, engineering, or a related field required; advanced degree preferred.
• 8-12+ years of progressive experience in data management, data governance, master data management, data quality, analytics enablement, or business process transformation.
• Leadership experience guiding teams and cross-functional programs, including influence without direct authority required.
• Experience operating in a complex enterprise environment and partnering with senior business and technology leaders.
• Experience with enterprise platforms such as SAP S/4HANA, SAP Master Data Governance is strongly preferred.
• Experience in identifying and delivering AI solutions, in platform or beyond.

• Advanced degree preferred

• Experience in identifying and delivering AI solutions, in platform or beyond.