Lead SAP Customer Master Data & Analytics

Job Description

The Lead, Customer Master Data & Analytics, within the Finance Shared Services (FSS) organization, supports the Order‑to‑Cash (OTC) Global Process Lead by ensuring strong governance, data quality, and operational excellence for Customer Master Data across SAP S/4

HANA and integrated systems. This role provides people leadership and partners cross‑functionally to deliver accurate, compliant, and timely customer data that enables effective OTC execution, regulatory compliance, and data‑driven decision‑making, while driving continuous improvement, analytics, and process innovation.

• Lead the Customer Master Data vision, roadmap, and governance framework across SAP S/4
  
  HANA and integrated systems.
• Serve as the senior point of contact for Customer Master Data across Customer Service, Supply Chain, Pricing, Finance/AR, Commercial and IT.
• Define and enforce global customer data standards, stewardship practices, and data quality controls to ensure accuracy, completeness and compliance.
• Drive continuous improvement initiatives across Customer Master Data processes, balancing global standardization with operational agility.
• Oversee Customer MDM/DSP (Syniti Data Stewardship Platform) operating models, including intake, validation, approvals, stewardship, escalation and audit readiness.
• Lead and manage DSP workflows to ensure timely processing, SLA adherence and high data quality.
• Support end‑to‑end project delivery, including design, test and rollout of SAP enhancements, integrations and data remediation initiatives.
• Lead medium‑to‑large scale initiatives using Smartsheet project management methodology.
• Maintain and update Customer Master Data SOPs and country variants following process or system enhancements.
• Deliver executive‑level reporting and analytics on data quality, KPI and process performance.
• Drive AI‑enabled automation initiatives such as duplicate detection, intelligent validation and workflow optimization.
• Ensure compliance with regulatory, audit, privacy and SOX requirements related to customer data.
• Lead and manage a team of 35 analysts supporting customer onboarding for U.S. sales organizations.
• Directly manage, coach and develop team members through performance management, capability building and career development.

• Minimum 5+ years of progressive experience in Master Data Management, Data Governance or Data & Analytics within complex enterprise environments.
• Solid understanding of end‑to‑end Order‑to‑Cash (OTC) processes, with the ability to partner effectively across Finance, Customer Service, Supply Chain, Pricing, Commercial and IT.
• Demonstrated ability to influence, drive change and operate independently within a matrixed, global organization.
• Proven experience leading process improvement and data quality initiatives with a strong focus on governance, compliance and operational excellence.
• Strong project management capabilities, including experience managing medium‑to‑large initiatives using Smartsheet or similar tools.
• Advanced analytical and problem‑solving skills, with the ability to translate broad direction into clear, actionable insights.
• High proficiency in Excel.
• Hands‑on experience with SQL Server, Power BI, Oracle and data modeling concepts.
• Excellent verbal and written communication skills, with the ability to engage senior leaders and diverse stakeholders.
• Ability to manage multiple priorities and deliver results under tight timelines.
• Demonstrated people leadership capabilities, including coaching, performance management and team development, aligned with Abb Vie leadership behaviors.

• Experience working within a formal MDM framework and data stewardship platforms (e.g. DSP/Syniti).
• Prior exposure to internal audit, SOX or regulatory compliance related to master data.
• Experience supporting or leading SAP S/4
  
  HANA data initiatives or large‑scale system transformations.
• Demonstrated interest in innovation, automation and analytics‑driven process optimization.

• Bachelor’s degree in Business, Supply Chain, Information Systems, Data Analytics or Finance.

• The…