Data Manager, Sr.

Primary purpose:

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 workspaces 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.

Essential duties and responsibilities:

- Drive continuous improvement by defining and translating Procurement process needs into clear data and integration requirements, ensuring IT delivers solutions aligned with business objectives and Procurement’s “single source of truth.

- Promote safety and quality in the design and execution of the data-lake architecture by defining data models, structures, and governance rules while coordinating with other functions for delivery.

- Be a catalyst for success by enabling AI agentic orchestration and metrics reporting; shaping datasets and logic, organizing structured and unstructured information into well-mapped, tech-friendly formats that power automated workflows and agentic ecosystems.

- Elevate culture and people by mentoring junior engineers and promoting data engineering best practices within the team to foster professional growth and technical excellence.

- Drive continuous improvement by partnering with IT, SMEs, and technical teams to validate and refine data outputs; ensuring accuracy, consistency, lineage, and enterprise usability before they move into operational use.

- Expand business value by enabling process enhancements, identifying inefficiencies and automation opportunities across Procurement and adjacent functions, producing business-oriented solution designs.

- Elevate culture and people by serving as a key contributor and promoter of data governance, compliance, and audit-ready documentation across Procurement and adjacent functions, ensuring all data automation workstreams, performance indicators, and AI solutions adhere to established standards.

- Document, standardize, and produce scalable, highly replicable Procurement data and AI-orchestration frameworks that expand business value, enable other functions to adopt proven patterns, and ensure solutions remain repeatable and enterprise-ready

- Communicate professionally and appropriately with senior leaders, customers, and stakeholders.

- Speak clearly and listen attentively in person and by telephone.

- Communicate effectively through email.

- Maintain regular, dependable attendance and consistently high performance.

- Adhere to safety standards to protect personal safety, company assets, employees, and the public.

- Perform other daily, weekly, monthly, or special project duties as assigned.

Minimum requirements:

Education:

- Bachelor’s degree from an accredited institution in Computer Science, Engineering, Data Science or a related discipline.

Experience/Specific Knowledge:

- 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, PowerQuery, 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, PowerApps.

- 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, Licenses & Registrations:

- Certifications in data, ETL, analytics, or reporting technologies are highly preferred (PowerBi, Tableu, Google Data Studio)

- Must possess and maintain a valid driver’s license and a driving record satisfactory to the company and its insurers (for travel).

Competencies, Skills & Abilities:

- Strategic thinker with the ability to translate complex data and technical concepts into business impact.

- Demonstrated leadership in cross-functional transformation initiatives.

- Strong analytical mindset and focus on ROI-driven outcomes.

- Adaptable and collaborative mindset, comfortable evaluating and championing emerging AI and automation technologies.

- Excellent project coordination, stakeholder influence, and enterprise adoption skills.

Physical Demands:

All the physical requirements listed below are those that may be necessary for an employee to successfully perform the essential function of this job. Reasonable accommodations may be made for individuals with disabilities to perform the essential functions.

- Minimal safety hazards; general office working conditions.

- Must be able to sit for prolonged periods of time.

- The employee is regularly required to use hands to type, touch, handle, or feel. The employee is required to talk and hear. The employee is frequently required to stand and reach with hands and arms. The employee is occasionally required to walk and climb or balance. The employee must regularly lift and /or move up to 10 pounds and occasionally lift and/or move up to 25 pounds.

Working Conditions:

- Required to carry a cell phone and be available to respond during working and non-working hours.

- Candidates will be required to clear a drug screen and complete a background check, including a credit report for certain positions after an offer has been extended and prior to being employed.

- Standard office/remote work environment. Occasional travel may be required for vendor or site visits (if applicable).

Supervisory Responsibility:

- None.

Preferred Education, Experience, Certifications, Competencies, Skills & Abilities:

Above the minimum requirements, not required but advantageous in this position:

- Bilingual (English/Spanish) is preferred.

- Certifications (Optional):

- Oracle Cloud Infrastructure Certified Architect/Data Engineer

- Oracle Integration Cloud Specialist

- AWS/GCP data certifications, CISA/CISM (for compliance emphasis)

- AI or Applied Data Science