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Source to Pay Value Chain Process Engineer

Job in Spring, Harris County, Texas, 77373, USA
Listing for: HP
Full Time position
Listed on 2026-08-05
Job specializations:
  • IT/Tech
    AI Business & Operations, Change Management
Salary/Wage Range or Industry Benchmark: 130700 - 205200 USD Yearly USD 130700.00 205200.00 YEAR
Job Description & How to Apply Below

Source to Pay Value Chain Process Engineer

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.

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

1. 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.

2. 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.

3. 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

4. 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.

5. 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.

6. 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.

7. 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). Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

  • 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…

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