Process Intelligence - Advanced Specialist

Autoliv; India; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Autoliv is seeking a Process Intelligence Specialist (Celonis) to design, build, and support Celonis-based process intelligence solutions across global finance processes. You’ll leverage process mining, AI, automation, and analytics to drive measurable business value.

You'll work across Order-to-Cash, Source-to-Pay, and Order Management processes, collaborating with stakeholders to identify opportunities and translate requirements into scalable technical solutions.

Qualifications

• Experience with Celonis Process Mining and Process Intelligence solutions.
• Strong knowledge of data integration, ETL, and data modeling.
• Experience in analytics, reporting, and process automation.
• Ability to translate business requirements into technical solutions.
• Familiarity with O2C, S2P, and R2R processes is a plus.

Responsibilities

• Design, build, and support Celonis-based process intelligence solutions.
• Develop data pipelines, data models, and end-to-end visibility.
• Collaborate with process owners to identify improvement opportunities.
• Translate requirements into scalable Celonis and BI solutions.
• Explore AI capabilities like Process Copilot and ML Workbench.

Skills

Celonis Process Mining

Data Integration

Data Modeling

Analytics & Reporting

Process Automation

Business Process Improvement

Education

Bachelor's or Master's in Computer Science

Engineering

Data Analytics

Finance

Related field

Tools

Snowflake

Power BI

Python

SQL

Job description

At Autoliv, our mission is simple: Save More Lives. As the world's leading automotive safety supplier, we never compromise on quality, innovation, or continuous improvement.

We are looking for a Process Intelligence Specialist (Celonis) to join our Process Intelligence Center of Excellence team. In this role, you will design, build, and support Celonis-based process intelligence solutions across global finance processes while leveraging process mining, AI, automation, and analytics to drive measurable business value.

Key Responsibilities

Process Mining & Data Engineering

• Build and maintain reliable data pipelines to extract, transform, and load (ETL) data into Celonis.

• Develop and optimize data models that enable end-to-end process visibility and actionable insights.

• Support integrations with ERP platforms such as SAP, JDE, and other enterprise systems.

• Monitor and improve data pipeline performance, scalability, and reliability.

• Implement and maintain data quality, validation, and cleansing processes.

Analytics & Business Value Creation

• Support process intelligence initiatives across Order-to-Cash (O2C), Source-to-Pay (S2P), and Order Management (OM) processes.

• Collaborate with business process owners and stakeholders to identify improvement opportunities.

• Translate business requirements into scalable technical solutions.

• Support value discovery workshops and generate actionable business insights.

AI, Automation & Innovation

• Develop solutions using Celonis AI capabilities, including Process Copilot, ML Workbench, Execution Apps, and Orchestration Engine.

• Build AI-enabled use cases such as anomaly detection, predictive analytics, and root cause analysis.

• Implement automations using Action Flows and orchestration capabilities.

• Support integration with OCR and other automation technologies.

Governance & Continuous Improvement

• Maintain technical documentation for data models, ETL processes, and transformation logic.

• Ensure adherence to data governance, compliance, and internal standards.

• Continuously explore and adopt new Celonis capabilities and analytics technologies.

What We’re Looking For

Experience

• 4 to 7 years of experience in:

  • Celonis Process Mining

  • Data Integration & ETL

  • Data Modeling

  • Analytics & Reporting

  • Process Automation

  • Business Process Improvement

Technical Skills

• Strong experience with Celonis Process Mining and Process Intelligence solutions.

• Expertise in PQL, SQL, data modeling, and dashboard development.

• Experience with data pipeline development and ETL processes.

• Knowledge of Action Flows, ML Workbench, and Celonis AI capabilities.

• Understanding of finance processes such as O2C, P2P, and R2R.

• Exposure to Snowflake, Power BI, Python, and related analytics technologies is preferred.

Professional Skills

• Strong analytical and problem-solving abilities.

• Ability to convert business requirements into technical solutions.

• Excellent stakeholder management and communication skills.

• Experience working in global and cross-functional teams.

• Commitment to data quality, accuracy, and continuous improvement.

Education

• Bachelor's or Master's degree in:

  • Computer Science

  • Engineering

  • Data Analytics

  • Finance

  • Or a related field.