Source to Pay Value Chain Process Engineer

Overview The Value Chain Process Engineer – Source to Pay is responsible for shaping breakthrough transformation agendas by combining process excellence, digital capability, and industry benchmarking to define what “best in class” looks like. Acting as a trusted advisor to both business and digital leaders, the Value Chain Partner ensures that strategic investments and initiatives align to enterprise priorities, deliver measurable value, and advance HP’s journey toward a process-led, digitally enabled organization. Role Serving as a strategic architect of intelligent workflows, this role rethinks how Source to Pay (S2P) should operate in a process-led, AI-enabled enterprise. The Process Engineer partners with Global Process Owners, Digital, and Functional leaders to: Remove non-value-added steps Simplify complexity before layering automation Intentionally deploy AI where it enhances judgment, speed, and quality Explicitly define where AI should not be used This role ensures that transformation efforts produce structural simplification and measurable value. Key Responsibilities Intelligent Workflow Redesign (AI as a Coworker) Redesign Source to Pay workflows assuming AI performs defined cognitive and transactional tasks alongside human operators. Define clear human-AI interaction models (decision rights, escalation paths, exception handling). Architect workflows where AI augments judgment, improves signal detection, and reduces manual coordination. Eliminate Before Automate Lead structured waste elimination across S2P (approvals, handoffs, reconciliations, rework, duplicate controls). Remove redundant steps before automation investment. Challenge legacy policies and controls that create unnecessary complexity. Ensure digital investment follows structural simplification. Simplify Before Layering Technology Standardize and harmonize S2P processes across business units before enabling AI or automation. Reduce process variation, exception pathways, and system fragmentation. Drive simplification of: Requisition to PO workflows Supplier onboarding and master data governance Invoice matching and exception resolution Payment controls and compliance checkpoints Intentional AI Deployment (and Non-Deployment) Evaluate when AI creates real value versus unnecessary complexity. Define criteria for: Deterministic rule-based automation AI-assisted decisioning Human-only decision authority Ensure AI usage aligns with risk, compliance, and ethical standards in procurement and finance. Avoid “AI for AI’s sake” solutions. Deep Source to Pay Expertise Own process redesign across: Supplier Strategy & Selection Contract Lifecycle Integration Requisition to Purchase Order Invoice to Pay Supplier Performance & Risk Management Embed compliance, control integrity, and auditability into redesigned workflows. Partner with Finance, Risk, and Legal to ensure transformation strengthens control posture. Strategic Partnership & Governance Partner with Global Process Owners to redefine best-in-class S2P maturity in an AI-enabled enterprise. Shape digital investment priorities based on structural impact, not tool capabilities. Participate in governance forums to ensure alignment to enterprise architecture and value realization. Value Realization & Measurable Impact Define leading and lagging indicators for S2P transformation: Cycle time reduction Touchless transaction rates Exception rate reduction Supplier satisfaction Working capital impact Partner with Finance and PMO to validate measurable outcomes. Qualifications Education Bachelor’s degree required; MBA or advanced degree preferred. Experience 10+ years in leading Supply Chain, Procurement, Finance Operations, or Digital Transformation organizations. Deep hands-on experience in Source to Pay transformation. Proven experience redesigning workflows. Experience implementing automation, AI/ML, analytics, or ERP platforms in enterprise environments. Demonstrated ability to simplify complex cross-functional processes. Core Capabilities Workflow architecture thinking (systems over silos) Lean mindset (eliminate waste before digitizing) AI literacy (understanding model strengths, limits, and risks) Strong facilitation in ambiguous environments Bias toward simplification and clarity Pay & Benefits The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The company reserves the right to modify this information at any time, with or without notice, subject to applicable law. #J-18808-Ljbffr HP