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Process Intelligence Consultant

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: Slalom
Full Time position
Listed on 2026-09-14
Job specializations:
  • Business
    Change Management, Business Analyst, AI Business & Operations, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 95000 - 116000 USD Yearly USD 95000.00 116000.00 YEAR
Job Description & How to Apply Below

This position has on-site expectations and must live within a commutable distance of our St. Louis office.

What will I do?
  • Partner with clients across commercial and public sector organizations to improve business operations, processes, and ways of working to achieve measurable business outcomes.
  • Conduct operational assessments, stakeholder interviews, and workshops to identify performance challenges, root causes, and opportunities to improve efficiency, quality, customer experience, and business value.
  • Map howwork flows across roles, systems, data, and decision points to surface bottlenecks, rework, exceptions, control gaps, and value leakage.
  • Analyze and redesign end-to-end business processes, operating models, and governance approaches to enable sustainable improvements and support transformation initiatives.
  • Define future-state workflows, decision rights, KPIs, controls, and human + AI ways of working that help clients modernize operations and sustain value.
  • Facilitate cross-functional discussions to align stakeholders on priorities, future-state solutions, implementation roadmaps, and value realization opportunities.
  • Develop business cases, improvement recommendations, performance metrics, and implementation plans that translate strategy into actionable results.
  • Build value cases with clear assumptions, value drivers, and benefits tracking so recommendations translate into practical, fundable plans.
  • Support the execution and adoption of operational improvements by helping clients establish performance management practices, governance structures, and continuous improvement capabilities.
  • Leverage data, analytics, automation, and AI-enabled capabilities to accelerate delivery and identify opportunities for additional business value, partnering with specialized SMEs as needed.
  • Identify and shape practical opportunities for process intelligence, workflow automation, decision support, and AI-enabled operational use cases in partnership with data, AI, engineering, and platform teams.
  • Contribute to Slalom’s Transformation and Operational Improvement capability through solution development, knowledge sharing, and team mentorship.
What will I bring?
  • Demonstrated experience in operations improvement, process improvement, business transformation, operational excellence, management consulting, or related disciplines.
  • Demonstrated success delivering measurable improvements in operational performance, process efficiency, cost reduction, quality, customer experience, or risk management.
  • Experience leading process assessments, process mapping, workshop facilitation, root cause analysis, future-state design, and implementation planning.
  • Strong consulting, communication, and stakeholder management skills with the ability to influence teams and leaders across all organizational levels.
  • Ability to translate complex business challenges into practical solutions that balance people, process, technology, data, and governance considerations.
  • Ability to connect process, technology, data, and governance considerations into integrated solutions rather than treating them as separate work streams.
  • Familiarity with process improvement methodologies, continuous improvement practices, operating model design, and organizational change concepts.
  • Understanding of how analytics, automation, and emerging AI capabilities can be applied to improve business operations and accelerate value realization.
  • Practical awareness of process intelligence, task mining, workflow automation, Power Platform, Service Now, RPA, or related modern operations technologies is preferred.
  • Experience working in industries such as manufacturing, healthcare, financial services, telecommunications, energy, aerospace and defense, supply chain and logistics, or public…
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