Process Mining Consultant (Level 2)

Reuben Cooley Inc.

New York (NY)

Presencial

USD 120 000 - 180 000

Tempo integral

Há 6 dias
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Resumo da oferta

Reuben Cooley Inc. in New York City seeks a senior Process Mining leader to drive data-driven transformation across multiple sites, including New York, California, and North Carolina.

The role focuses on leading data engineering for Process Mining, building robust extraction/ETL pipelines, and delivering advanced process analytics to optimize operations. Strong ERP experience is a plus.

Qualificações

  • 8+ years of experience in process mining and data analytics.
  • Proven expertise in OCPM.
  • Strong SQL and relational database skills; experience with SAP or Oracle ERP ecosystems.

Responsabilidades

  • Lead a data engineering team delivering Process Mining solutions.
  • Design and implement data extraction and transformation pipelines.
  • Develop and optimize data models and process analytics solutions.
  • Partner with business stakeholders to translate requirements into technical solutions.
  • Support operationalization, automation, and continuous process improvement initiatives.

Conhecimentos

Process Mining
OCPM
Data extraction & ETL
SQL & Relational DB
ERP (SAP/Oracle)
Stakeholder management
Automation & AI in processes
Certifications desirable

Ferramentas

SAP ECC / S4HANA
Oracle Cloud / EBS

Descrição da oferta de emprego

Locations: New York City (NY), Redwood City (CA), Raleigh (NC)

Experience: 8+ years

General Requirements:
  • Strong hands-on experience in Process Mining implementations
  • Mandatory expertise in OCPM (Object-Centric Process Mining)
  • Expertise in data extraction, transformation, and process analytics
  • Advanced SQL and relational database skills
  • Experience with SAP ECC/S4 HANA, Oracle Cloud, or Oracle EBS
  • Strong stakeholder management and communication skills
  • Experience with process intelligence, automation, AI-enabled process optimization, and operationalization preferred
  • Relevant Process Mining certifications highly desirable
Key Responsibilities:
  • Lead a data engineering team delivering Process Mining solutions
  • Design and implement data extraction and transformation pipelines
  • Develop and optimize data models and process analytics solutions
  • Partner with business stakeholders to translate requirements into technical solutions
  • Support operationalization, automation, and continuous process improvement initiatives
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