- Define and drive the S2P and Supplier Quality data strategy, aligned with enterprise data architecture and governance frameworks.
- Collaborate with the Chief Data Office to design governed data models, master data standards, and quality controls for key S2P objects (e.g., suppliers, POs, invoices, quality events).
- Establish data stewardship practices to ensure accuracy, consistency, and compliance with global standards and regulations.
- Partner with security and compliance teams to maintain adherence to GEHC s digital risk and privacy requirements.
Solution Design & Delivery
- Lead the design and development of data-driven solutions integrating ERP (e.g., Oracle, SAP), Coupa, PLM, and Supplier Quality systems (e.g., SQCS).
- Translate business and functional requirements into data architecture and integration designs that support analytics, automation, and reporting needs.
- Ensure the Supplier Quality Collaboration System (SQCS) operates as a core component within the broader S2P data ecosystem.
- Drive continuous improvement in system performance, scalability, and data quality to support business growth and compliance.
Product Management & Agile Delivery
- Act as the Product Owner for S2P and SQCS data capabilities owning backlogs, priorities, and roadmaps aligned to business and data strategies.
- Partner with cross-functional agile teams to plan, execute, and release new capabilities, ensuring quality and timeliness of delivery.
- Manage the change control and release management process in collaboration with the CDO and DT teams.
- Track and report progress, risks, and dependencies to leadership and key stakeholders.
Stakeholder Engagement & Collaboration
- Serve as the key interface between business, DT, and the CDO for S2P and Supplier Quality data initiatives.
- Build strong partnerships with Procurement, Finance, and Quality teams to identify data needs, prioritize improvements, and align on outcomes.
- Communicate complex technical and data concepts in clear business terms across all levels of the organization.
- Develop trusted relationships with external vendors, solution partners, and system providers to ensure optimal solution delivery.
Continuous Improvement & Insights
- Drive data quality and process visibility through development of dashboards, analytics, and KPIs.
- Support predictive and AI-driven insights to enhance supplier performance, spend optimization, and risk mitigation.
- Continuously assess new technologies and methods to enhance data accessibility and user experience.
Qualifications & Experience Required:
- Bachelor s degree in Engineering, Computer Science, Business, or related STEM discipline.
- Minimum 8+ years of experience in Source-to-Pay (Procure-to-Pay, Sourcing, or Supplier Quality) processes or related digital transformation roles.
- Proven experience in data management, data governance, or data architecture within a global enterprise environment.
- Strong understanding of ERP (Oracle/SAP) and supplier quality systems (e.g., SQCS, PTC PLM).
- Experience working in Agile/Scrum environments as a Product Manager or Product Owner.
- Demonstrated collaboration with enterprise data organizations (e.g., CDO) in defining and delivering data-driven solutions.
Preferred:
- Experience with cloud-based data platforms (Azure, AWS) and analytics tools (Power BI, Tableau, Qlik).
- Knowledge of master data management (MDM), metadata management, and ETL processes.
- Experience managing SaaS or cloud-hosted enterprise applications.
- Exposure to AI/ML or predictive analytics use cases in procurement or supplier quality.
Core Competencies
- Business Acumen: Deep understanding of S2P processes and supplier lifecycle management.
- Digital Expertise: Strong grasp of data architecture, governance, and cloud-based analytics.
- Leadership: Ability to influence and align cross-functional teams toward common objectives.
- Collaboration: Effective partnership across functions, regions, and technical domains.
- Execution Excellence: Ability to prioritize, plan, and deliver results under dynamic conditions.
- Communication: Clear articulation of complex topics to executive and operational audiences.Success Metrics
- Improved data quality and integrity across S2P and supplier domains.
- Enhanced visibility and analytical capability through integrated data platforms.
- Timely delivery and adoption of data-driven solutions aligned with the CDO roadmap.
- Increased stakeholder satisfaction and confidence in supplier and procurement data.
