Process Design Engineer – IT

Hewlett Packard Enterprise

. Analyze and redesign processes using Lean Six Sigma methodologies .

Posted 10/9/2026full-timeSpring • Texas • United StatesMid-LevelSenior💰 $123,500 - $285,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Lean Six Sigma methodologies and process design, with a strong focus on data analysis, digital transformation, and strategic alignment with business objectives. Proven ability to lead cross-functional teams and deliver data-driven business cases to senior executives.

Highest-signal resume keywords

Lean Six Sigma Black Belt CertificationProcess Mining Tools ExperienceData Analysis and SQL ProficiencyExecutive-Level Communication SkillsCross-Functional Team Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Process DesignStatistical AnalysisRoot-Cause AnalysisData-Driven Decision-MakingEmpirical AnalysisModelling TechniquesDashboard DevelopmentProject ManagementBusiness InterpretationDigital Transformation

Soft Skills

Analytical SkillsStrategic ThinkingProblem-Solving SkillsNegotiation SkillsCommunication Skills

Tools & Technologies

Process Mining ToolsStatistical Validation ToolsDashboardsEmerging TechnologiesAI Technologies

Certifications & Qualifications

Lean Six Sigma Black Belt CertificationMaster of Business Administration (MBA)

Industry Keywords

Process EfficiencyValue-Creation PlansFuture-State Process DesignsDigital-Transformation StrategiesStakeholder Management

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Analyze and redesign processes using Lean Six Sigma methodologies
Evaluate data sources, process mining, technology, and statistical validation to identify process-efficiency opportunities
Identify opportunities to use AI, automate manual processes, streamline workflows, and enhance system capabilities
Align process designs with business objectives, customer needs, and executive priorities
Use process mining tools, dashboards, and statistical analysis to conduct data-driven investigations
Establish future-state improvement action plans, design requirements, and performance-monitoring requirements
Develop future-state process designs using AI, emerging technologies, and best practices
Collaborate with Business Operations and IT leadership and subject-matter experts on digital-transformation strategies and roadmaps
Develop and present future-process business cases, value-creation plans, and detailed process maps
Lead root-cause analysis through value realization for senior executives and subject-matter experts
Deliver data-driven business cases covering statistical testing, benefits, ROI, resources, timelines, impacts, and customer-focused outcomes
Secure senior executive sponsorship and communicate strategic alignment, gap assessments, and development roadmaps
Present persuasive, analytics-supported recommendations to senior leadership
Communicate initiative progress, escalations, and issue analysis to stakeholders
Manage competing performance goals and provide independent, data-informed recommendations
Lead cross-functional teams and promote transparency and clarity across process, data, analysis, and recommendations

Requirements

What you’ll need

Lean Six Sigma Black Belt certification or equivalent
Experience using process mining tools and techniques preferred
Master of Business Administration (MBA) or equivalent preferred
Minimum 5 years of experience in process design, new/future process design, digital transformation, data quality, and project management
Proven track record delivering data-driven business cases to senior executives
Experience leading cross-functional global teams and achieving strategy-aligned, high-value outcomes
Experience with data analysis, SQL, querying, statistical analysis, dashboard development, process mining, Lean Six Sigma quality, and business interpretation
Excellent analytical, statistical, and problem-solving skills
Strategic thinking and ability to align process design with long-term organizational goals
Data-driven decision-making using metrics and analytics
Executive-level communication and presentation skills
Experience with empirical analysis, root-cause analysis, modelling, and testing methodologies
Business acumen and experience managing cross-business-unit initiatives, stakeholders, matrixed teams, and resources
Excellent written and verbal communication skills; mastery in English and local language
Ability to communicate quality architectures, plans, proposals, and results and negotiate at business-unit and executive levels

Benefits

Comp & perks

Comprehensive health and wellbeing benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Flexible work arrangements to manage work and personal needs
Inclusive workplace
Reasonable accommodation during application or interview process for applicants with disabilities