Data Manager, Sr
Listed on 2025-12-22
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Security, Data Science Manager
JOB DESCRIPTION
The Senior Data Manager serves as both a technical authority in data engineering and a strategic enabler for Procurement, acting as the primary liaison between Procurement and IT. This role owns the architecture and ongoing maintenance of Procurement’s Fabric environment while contributing to multidisciplinary teams to establish enterprise standards for data governance, process modeling, and AI‑ready information structures; ensuring Procurement operates from a trusted and unified single source of truth .
In addition to deep technical capability, this role leverages proven experience in Procurement and Finance processes, functioning as a SME (Subject Matter Expert) who bridges business context with advanced technical execution.
Beyond traditional data engineering, the role plays a pivotal part in AI agentic orchestration and KPI reporting, ensuring automated agent ecosystems and Fabric work spaces receive accurate, timely, and properly structured data. The engineer translates real business needs into AI‑consumable formats and directly contributes to the enterprise's AI strategy. By documenting, standardizing, and scaling its solutions, the Senior Data Manager collaborates across functions to drive consistency, improve operational efficiency, reinforce compliance, and enhance decision quality across the organization.
Primary purposeThe Senior Data Manager serves as both a technical authority in data engineering and a strategic enabler for Procurement, acting as the primary liaison between Procurement and IT. This role owns the architecture and ongoing maintenance of Procurement’s Fabric environment while contributing to multidisciplinary teams to establish enterprise standards for data governance, process modeling, and AI‑ready information structures; ensuring Procurement operates from a trusted and unified single source of truth .
In addition to deep technical capability, this role leverages proven experience in Procurement and Finance processes, functioning as a SME (Subject Matter Expert) who bridges business context with advanced technical execution.
Education:
- Bachelor's degree from an accredited institution in Computer Science, Engineering, Data Science or a related discipline.
- Minimum of 10 years of experience as a data professional or business analyst fully integrated into Procurement or adjacent functions, combining strong technical capability with practical understanding of procurement operations.
- Experience working in Procurement alongside buyers and sourcing teams, with strong familiarity of the end-to-end purchasing process.
- Experience with procurement reporting practices, including savings initiatives, CAPEX and OPEX reporting, and related performance tracking.
- Hands‑on experience in Accounts Payable processes, including payment reconciliation and three‑way match within the R2P cycle.
- Familiarity with procurement policies, audit procedures, and regulatory requirements.
- Demonstrated track record in ERP integrations, large scale ETL initiatives, data warehouse design, or cloud native data architectures.
- Knowledge of coding and data transformation languages such as Python, SQL, JSON, M‑Code, Power Query, and DAX is required.
- Manage data lakes, data extraction using API connections, job configurations and workflow schedules.
- Understanding and exposure to AI technologies, with familiarity of the AI orchestration landscape and hands‑on experience interacting with AI‑driven workflows.
- Expertise in Cloud and Analytics:
Experience with OCI, AWS (Datanet, Cradle, Work‑Bench), GCP; tools like Oracle Analytics, Tableau, Power BI, Power Apps. - Expertise in Oracle Integration Cloud, ODI, Golden‑Gate, Apache Airflow, Informatica, DBT, Alteryx.
- Proficient in procurement platforms such as Ivalua, Ariba, SAP, and Cirtuo, with a strong understanding of key procurement performance indicators including Compliance Rate, Purchase Order Accuracy, Defect Rate, Inventory Aging, Turnover Ratio, Lead Times, Requisition‑to‑Pay (R2P) Cycle Time, Cost Reduction, Cost Avoidance, and Spend Under Management.
- Certifications in…
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