Senior Operational Ex Specialist

The Senior Business Process Mining & Process Analyst will re-establish, update, govern, and continuously improve end-to-end process flows across Material Management and other Integrated Supply Chain functions. The role combines business process architecture, stakeholder facilitation, and process mapping to create a trusted, current, and actionable view of how work is designed and how it actually executes. Working in SAP Signavio and in close partnership with Global Design Model (GDM) teams, process owners, functional subject-matter experts, analytics teams, and technology partners, the role will translate process insights into prioritized enhancements, measurable use cases, and sustainable process ownership.

Responsibilities

Key Responsibilities

• Process architecture and mapping: Lead discovery, validation, and documentation of current-state and future-state processes across Material Management and adjacent ISC value streams, ensuring end-to-end visibility beyond individual functions, systems, or organizational boundaries.
• Signavio process repository: Create, update, and govern process models in SAP Signavio using agreed modeling standards, hierarchy, naming conventions, ownership, version control, and approval workflows.
• Process mining analysis: Use SAP Signavio Process Intelligence to analyze variants, cycle times, bottlenecks, rework, manual interventions, control gaps, compliance deviations, and automation opportunities.
• Use-case development: Partner with business leaders and process owners to define high-value process mining hypotheses, business questions, KPIs, analytical requirements, expected value, and action plans.
• Stakeholder working sessions: Plan and facilitate cross-functional workshops, process walkthroughs, and working sessions to validate process reality, align on the desired future state, clarify handoffs, and agree improvement actions.
• GDM collaboration: Coordinate closely with Global Design Model teams to confirm alignment with global standards, identify necessary exceptions, and translate approved changes into updated process flows and governance artifacts.
• Enhancement coordination: Identify, prioritize, document, and coordinate enhancements to existing Signavio process analyses, dashboards, data models, and process documentation.
• Process governance: Establish sustainable ownership, review cadences, change controls, quality checks, and escalation paths so process models and insights remain accurate, current, and trusted.
• Cross-functional integration: Connect Material Management processes with Planning, Procurement, Manufacturing, Logistics, Quality, Finance, Customer Experience, Master Data, and IT to prevent fragmented or locally optimized process designs.
• Insight-to-action leadership: Convert analytical findings into practical improvement initiatives, quantified opportunities, implementation roadmaps, and structured handover to accountable process owners, partnering with our business analyst.
• Adoption and capability building: Coach process owners and key users on process mining interpretation, process modeling, KPI definitions, and the use of Signavio insights in recurring operational and management routines.
• Continuous improvement: Monitor process performance after changes, validate realized benefits, capture lessons learned, and update process documentation and analytical content accordingly.

Qualifications

• Validated end-to-end current-state and future-state process maps for prioritized ISC value streams.
• A governed and current SAP Signavio process repository with defined ownership and review dates.
• Process mining use-case portfolio, including hypotheses, KPIs, data requirements, expected value, and prioritization.
• Process performance analyses and dashboards covering variants, cycle time, rework, automation, controls, and deviations.
• Documented process gaps, root causes, improvement opportunities, decisions, and action plans.
• Process enhancement roadmap aligned with GDM, business priorities, and technology dependencies.
• Process governance standards, RACI, review cadence, change-control mechanism, and quality criteria partnering with business analyst.
• Training materials and recurring stakeholder forums that embed process insights into operational decisions.

Required Qualifications and Experience

• Bachelor’s degree in Business, Supply Chain, Engineering, Information Systems, Data Analytics, or a related discipline; advanced degree is a plus.
• Typically 7+ years of experience in business process management, process mining, process architecture, operational excellence, supply chain transformation, or related roles.
• Demonstrated experience mapping and improving complex end-to-end processes across multiple functions and organizational boundaries.
• Hands-on experience with SAP Signavio Process Manager and/or SAP Signavio Process Intelligence; experience with other process mining platforms is beneficial.
• Strong knowledge of BPMN 2.0, process hierarchy, value-stream mapping, process governance, and continuous improvement methods.
• Working knowledge of SAP ERP processes and data across Material Management, Order-to-Invoice, Procure-to-Pay, Plan-to-Produce, Inventory, and Logistics.
• Ability to define process mining case structures, activities, timestamps, attributes, KPIs, filters, and validation requirements in partnership with technical teams.
• Experience reconciling process insights with source-system data and business definitions to establish confidence in analytical results.
• Strong facilitation, stakeholder management, executive communication, structured problem-solving, and change leadership skills.
• Ability to influence without direct authority and build alignment among process owners, functional leaders, GDM teams, analytics teams, and IT.
• Proficiency in English; experience working across regions and cultures is strongly preferred.

Preferred Qualifications

• Lean Six Sigma, BPM, SAP,  or process mining certification.
• Experience designing process governance for a global process repository.
• Knowledge of SQL, data modeling, ETL concepts, event logs, dashboarding, and analytical validation.
• Experience developing business cases and measuring benefits such as lead-time reduction, productivity, working-capital improvement, compliance, quality, or automation.
• Experience supporting large-scale ERP, operating-model, or digital transformation programs.

Measures of Success

• Percentage of prioritized processes mapped, validated, approved, and assigned to an owner.
• Percentage of process models reviewed and updated within the agreed governance cycle.
• Number and value of process mining use cases moved from hypothesis to implemented improvement.
• Reduction in identified cycle time, rework, process variants, manual interventions, or compliance deviations.
• Adoption of SAP Signavio insights in recurring operational and leadership reviews.
• Stakeholder confidence in process data, KPI definitions, documented flows, and improvement priorities.
• Timely closure of process gaps and enhancement actions across Material Management and connected ISC functions.

Key Interfaces

Material Management, Planning, Procurement, Manufacturing, Logistics, Inventory, Quality, Finance, Customer Experience, Master Data Management, GDM, Operational Excellence, Data & Analytics, Enterprise Architecture, SAP/IT product teams, transformation program leaders, and regional or site process owners.

About UsHoneywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.