Source to Pay Value Chain Process Engineer

HP

Spring, TX

JOB DETAILS
SKILLS
Alliance/Partner Management, Artificial Intelligence (AI), Automation, Benchmarking, Business Administration, Channel Strategies, Compensation and Benefits, Cross-Functional, ERP (Enterprise Resource Planning), Enterprise Architecture, Error Handling, Finance, Financial Operations, Hewlett-Packard Product Family, Human Interaction, Investment Strategy, Legal, Literacy, Onboarding, Process Engineering, Purchasing/Procurement, Reconciliation, Regulatory Compliance, Risk, Sales Cycle, Supply Chain, Value Chain Model, Vendor/Supplier Planning
LOCATION
Spring, TX
POSTED
1 day ago

OverviewThe 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.RoleServing 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 stepsSimplify complexity before layering automationIntentionally deploy AI where it enhances judgment, speed, and qualityExplicitly define where AI should not be usedThis role ensures that transformation efforts produce structural simplification and measurable value.Key ResponsibilitiesIntelligent 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 AutomateLead 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 TechnologyStandardize 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 workflowsSupplier onboarding and master data governanceInvoice matching and exception resolutionPayment controls and compliance checkpointsIntentional AI Deployment (and Non-Deployment)Evaluate when AI creates real value versus unnecessary complexity.Define criteria for:Deterministic rule-based automationAI-assisted decisioningHuman-only decision authorityEnsure AI usage aligns with risk, compliance, and ethical standards in procurement and finance.Avoid “AI for AI's sake” solutions.Deep Source to Pay ExpertiseOwn process redesign across:Supplier Strategy & SelectionContract Lifecycle IntegrationRequisition to Purchase OrderInvoice to PaySupplier Performance & Risk ManagementEmbed compliance, control integrity, and auditability into redesigned workflows. Partner with Finance, Risk, and Legal to ensure transformation strengthens control posture.Strategic Partnership & GovernancePartner 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 ImpactDefine leading and lagging indicators for S2P transformation:Cycle time reductionTouchless transaction ratesException rate reductionSupplier satisfactionWorking capital impactPartner with Finance and PMO to validate measurable outcomes.QualificationsEducationBachelor's degree required; MBA or advanced degree preferred.Experience10+ 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 CapabilitiesWorkflow architecture thinking (systems over silos)Lean mindset (eliminate waste before digitizing)AI literacy (understanding model strengths, limits, and risks)Strong facilitation in ambiguous environmentsBias toward simplification and clarityPay & BenefitsThe 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 insuranceDental insuranceVision insuranceLong term/short term disability insuranceEmployee assistance programFlexible spending accountLife insuranceGenerous time off policies, including 4-12 weeks fully paid parental leave based on tenure11 paid holidaysAdditional flexible paid vacation and sick leaveUS benefits overviewThe 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

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HP