Process Improvement Consultant

Hybrid in Irving, TX, US • Posted 10 hours ago • Updated 7 hours ago
Contract W2
9 Months
No Travel Required
Hybrid
$0 - $0
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Documentation
  • Data Architecture
  • Data Engineering
  • Data Governance
  • Communication
  • Conflict Resolution
  • Dashboard
  • Analytics
  • Management
  • Merchandising
  • Meta-data Management
  • Forms
  • JIRA
  • Leadership
  • Lean Six Sigma
  • Delivery Management
  • Demand Management
  • Facilitation
  • Business Strategy
  • Microsoft SharePoint
  • PMP
  • Privacy
  • Change Management
  • Data Quality
  • Microsoft Power BI
  • PMO
  • Problem Solving
  • Process Improvement
  • Status Reports
  • Supply Chain Management
  • Workflow
  • Retail
  • ServiceNow
  • Stakeholder Management
  • Training
  • RACI
  • Recruiting
  • Regulatory Compliance
  • Reporting

Summary

We at NJ TECH INC are focused on hiring highly skilled professionals who are excited by the opportunity to make a true impact on their careers as well as on our clients' business. We power our clients’ success—and drive our consultants’ career growth.

We are seeking an experienced and outstanding Process Improvement Consultant for one of our esteemed clients.

 
Enterprise Data Process Improvement
Location: Irving, TX - Hybrid
Client: RTS/7-Eleven
Department: Enterprise Data
 
About the opportunity
7-Eleven’s Enterprise Data organization supports data engineering, platforms, architecture, governance, analytics, and related capabilities used across the company. We are seeking an experienced process-improvement leader for a focused engagement to help teams work more effectively across these areas.
The role will assess how work moves from demand and prioritization through planning, delivery, governance, support, reporting, and handoff. It will then implement a limited number of high-value improvements that make work easier to manage, improve compliance and adoption, reduce manual effort, and clarify ownership.
The successful candidate will bring a strong background in data engineering, data platforms, data architecture, or a related data discipline, combined with practical experience improving processes in a complex organization. This is a hands-on role for someone who can move from diagnosis to implementation and leave sustainable capability behind.
What you will do
Assess and prioritize improvement opportunities
  • Build a practical understanding of current processes, stakeholders, dependencies, tools, and pain points across selected Enterprise Data workstreams.
  • Identify where work is delayed by unclear ownership, manual handoffs, inconsistent standards, limited capacity, or low process adoption.
  • Establish a focused improvement backlog and recommend the two to four opportunities most likely to produce measurable benefit during the engagement.
  • Define baselines and success measures for the selected improvements.
Design and implement better ways of working
  • Improve selected processes such as demand management, prioritization, platform delivery, architecture decisions, governance reviews, support, status reporting, decision tracking, or dependency management.
  • Design lightweight workflows, standards, roles, decision rights, service expectations, escalation paths, and operating rhythms.
  • Make compliance easier to follow by reducing unnecessary steps, clarifying expectations, and embedding requirements into existing work.
  • Create practical playbooks, templates, RACI models, decision logs, action registers, and process documentation.
  • Work with process owners and managers to ensure that improvements are adopted rather than simply documented.
Use automation and information to reduce manual effort
  • Identify recurring manual work and control points that can be streamlined or automated.
  • Design or coordinate appropriate workflows, forms, dashboards, notifications, evidence capture, and exception reporting using approved enterprise tools.
  • Improve the quality and timeliness of management information on decisions, owners, risks, dependencies, overdue work, and milestones.
  • Help teams capture information once and reuse it across delivery management, governance, reporting, and leadership reviews.
Enable cross-functional execution
  • Work with data engineering, platform, architecture, governance, PMO, business, and other partner teams.
  • Facilitate focused working sessions to resolve ownership, priority, process, architecture, and dependency questions.
  • Pilot improvements with selected teams, learn from actual usage, and refine the approach before broader rollout.
  • Provide practical communication, training, and enablement so teams understand how to use the new processes and why they matter.
  • Transition ownership, documentation, automation, and ongoing measurement to internal teams.
Required qualifications
  • Significant experience in data engineering, data platforms, data architecture, data products, or a closely related technical discipline.
  • 8+ years of experience in enterprise data or technology environments, including experience leading cross-functional process improvement or operating-model change.
  • Ability to understand technical delivery realities and translate them into workable processes, controls, decision rights, and operating rhythms.
  • Experience improving adoption or compliance when teams are busy, distributed, or working across multiple tools and priorities.
  • Experience with workflow automation, dashboards, reporting, metadata, governance, data quality, architecture, or platform enablement.
  • Strong facilitation, written communication, executive communication, problem-solving, and stakeholder-management skills.
  • Ability to influence without formal authority and build mechanisms that reduce dependence on individual follow-up.
  • Ability to work independently and deliver tangible results within a nine-month engagement.
Preferred qualifications
  • Experience in retail, consumer, supply chain, merchandising, store operations, or another large-scale operational environment.
  • Experience with hub-and-spoke, federated, data-product, or self-service analytics operating models.
  • Experience with data governance, data quality, privacy, security, metadata, lineage, platform operations, or architecture review processes.
  • Experience with Power BI, Power Automate, SharePoint, Teams, ServiceNow, Jira, Smartsheet, or comparable workflow and reporting tools.
  • Experience with Lean, Six Sigma, Prosci, ADKAR, PMP, PgMP, or comparable improvement or change-management methods.

NJ TECH INC is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, We cannot sponsor any visa at this time

NJ TECH INC, is a globally managed IT service, consulting and Business solutions partner. Our "High-Performance Business" strategy builds up our expertise in technology and consulting. Our consulting plays a major role in helping clients to achieve their objectives in the highest level; ultimately creating sustainable value for customers. Come, transform your career with us and be a part of our high-performing team
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91092521
  • Position Id: 9127233
  • Posted 10 hours ago
Contact the job poster
NS

Neil Saks

Recruiter @ NJTECH INC.

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