Process Mining Consultant

Inabia Software & Consulting Inc.

New York (NY)

Hybrid

USD 150,000 - 190,000

Full time

7 days ago
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Job summary

Inabia Software & Consulting Inc. is seeking an experienced Process Mining Consultant to lead data engineering activities and deliver scalable Process Mining solutions.

The ideal candidate will have strong hands-on expertise in Object-Centric Process Mining (OCPM), SQL, data extraction and transformation, data modeling, and process analytics. The consultant will work closely with data engineering teams and business stakeholders to develop Process Mining solutions, integrate enterprise

Qualifications

  • 8+ years of overall professional experience.
  • Strong hands-on experience in Process Mining implementations.
  • Mandatory expertise in Object-Centric Process Mining (OCPM).
  • Advanced SQL and relational database skills.
  • Experience in data extraction, transformation, and data modeling.
  • Experience designing and implementing data pipelines.
  • Experience with SAP ECC/S4 HANA, Oracle Cloud, or Oracle EBS.
  • Strong process analytics and Process Intelligence knowledge.
  • Experience leading or coordinating data engineering teams.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Excellent stakeholder management and communication skills.

Responsibilities

  • Lead and coordinate data engineering teams delivering Process Mining solutions.
  • Design, develop, and maintain data extraction and transformation pipelines.
  • Implement Object-Centric Process Mining (OCPM) solutions.
  • Develop and optimize data models for Process Mining and process analytics.
  • Extract, transform, validate, and integrate data from SAP ECC/S4 HANA, Oracle Cloud, Oracle EBS, and related systems.
  • Apply advanced SQL and relational database techniques to process data.
  • Analyze business processes, identify inefficiencies, and develop data-driven insights.
  • Partner with business stakeholders to translate business requirements into technical solutions.
  • Collaborate with technical teams to troubleshoot data integration, transformation, and modeling issues.
  • Ensure data quality, pipeline reliability, and accuracy of process analytics.
  • Support the operationalization and automation of Process Mining solutions.
  • Contribute to continuous process improvement and Process Intelligence initiatives.
  • Support the adoption of AI-enabled process optimization capabilities.

Skills

OCPM
SQL
Data extraction
Data transformation
Data modeling
Process Mining
SAP ECC/S4 HANA
Oracle Cloud
Oracle EBS
Team leadership
Process analytics

Tools

SAP ECC/S4 HANA
Oracle Cloud
Oracle EBS

Job description

Experience: 8+ years
Contract Duration: 12 months, with possible extension up to 2 years
Locations: New York City, NY | Redwood City, CA | Raleigh, NC
Work Model: Hybrid
Eligible visa statuses: US Citizens, Green Card holders, and H-1B visa holders. OPT candidates are not eligible.(Only W2)
Job Overview

We are seeking an experienced Process Mining Consultant to lead data engineering activities and deliver scalable Process Mining solutions. The ideal candidate will have strong hands‑on expertise in Object-Centric Process Mining (OCPM), SQL, data extraction and transformation, data modeling, and process analytics.

The consultant will work closely with data engineering teams and business stakeholders to develop Process Mining solutions, integrate enterprise application data, identify process improvement opportunities, and support automation and operationalization initiatives.

Key Responsibilities
  • Lead and coordinate data engineering teams delivering Process Mining solutions.

  • Design, develop, and maintain data extraction and transformation pipelines.

  • Implement Object-Centric Process Mining (OCPM) solutions.

  • Develop and optimize data models for Process Mining and process analytics.

  • Extract, transform, validate, and integrate data from SAP ECC/S4 HANA, Oracle Cloud, Oracle EBS, and related enterprise systems.

  • Apply advanced SQL and relational database techniques to process data.

  • Analyze business processes, identify inefficiencies, and develop data‑driven insights.

  • Partner with business stakeholders to translate business requirements into technical solutions.

  • Collaborate with technical teams to troubleshoot data integration, transformation, and modeling issues.

  • Ensure data quality, pipeline reliability, and accuracy of process analytics.

  • Support the operationalization and automation of Process Mining solutions.

  • Contribute to continuous process improvement and Process Intelligence initiatives.

  • Support the adoption of AI‑enabled process optimization capabilities.

Required Skills and Qualifications
  • 8+ years of overall professional experience.

  • Strong hands‑on experience in Process Mining implementations.

  • Mandatory expertise in Object-Centric Process Mining (OCPM).

  • Advanced SQL and relational database skills.

  • Strong experience in data extraction, transformation, and data modeling.

  • Experience designing and implementing data pipelines.

  • Experience with SAP ECC/S4 HANA, Oracle Cloud, or Oracle EBS.

  • Strong process analytics and Process Intelligence knowledge.

  • Experience leading or coordinating data engineering teams.

  • Strong analytical, problem‑solving, and troubleshooting skills.

  • Excellent stakeholder management and communication skills.

Preferred Qualifications
  • Relevant Process Mining certifications.

  • Experience with process automation and solution operationalization.

  • Exposure to AI‑enabled process optimization and advanced analytics.

  • Experience with enterprise Process Intelligence implementations.

  • Knowledge of continuous process improvement methodologies.

Interview Process
  1. Initial screening round.

  2. One 60‑minute virtual interview covering technical/coding skills and behavioral competencies.

Candidate Eligibility and Submission Requirements
  • Eligible visa statuses: US Citizens, Green Card holders, and H-1B visa holders. OPT candidates are not eligible.

  • Local candidates are preferred.

  • An active LinkedIn profile is mandatory.

  • A copy of a valid photo ID is required for submission.

  • H-1B candidates must confirm their willingness to transfer H-1B sponsorship to Inabia's payroll.

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