Sr. Analyst Customer Master Data and Data Analytics - SAP
AbbVie
Job Description
Job Description
Company Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job DescriptionThe Senior Senior Analyst, 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/4HANA 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.
Responsibilities
- Lead the Customer Master Data vision, roadmap, and governance framework across SAP S/4HANA 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, KPIs, 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.
- 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.
Preferred Qualifications
- 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/4HANA data initiatives or large‑scale system transformations.
- Demonstrated interest in innovation, automation, and analytics‑driven process optimization .
Education Requirements :
- Bachelor’s degree in Business, Supply Chain, Information Systems, Data Analytics, or Finance.
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our short-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
-us/reasonable- accommodations.html
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