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Posted May 18

Process Intelligence Senior Specialist

at Autoliv

Bengaluru, Autoliv Asia Aas, United StatesOn-site

Responsibilities

  • Execute end-to-end implementations using Celonis process mining, AI, and automation capabilities.
  • Ensure a robust data foundation and integration setup to enable scalable and reliable analytics.
  • Deliver measurable, value-driven outcomes through process optimization, working capital improvement, and efficiency gains.
  • Build and maintain reliable data pipelines to extract, transform, and load data from ERP and enterprise systems into Celonis •
  • Develop optimized data models in Celonis to reflect end-to-end business processes and enable process mining insights •
  • Monitor and improve data pipeline and model performance, ensuring stability and scalability •
  • Implement and maintain data quality checks, validation, and cleansing mechanisms •
  • Support process intelligence use cases across global processes (O2C, S2P, OM) •
  • Support value discovery workshops and preparation of business insights •
  • Develop solutions using Celonis AI features, process copilot, ML Workbench, execution apps, Orchestration engine, annotation builder, and prebuilt applications (e.g., Duplicate Invoice Checker, Sailfin or similar) •
  • Build AI-enabled use cases (e.g., anomaly detection, root cause insights, predictive scenarios) •
  • Implement automation using Action Flows and orchestration features and integrate with OCR and other automations solutions •
  • Maintain technical documentation for data pipelines, models, and transformation logic •

Requirements

  • Work with IT and system owners to support data integration from SAP, JDE and other platforms. •
  • experience in Celonis Process Mining, ETL, data integration, data modeling, analytics, app development, and automation/orchestration (Action Flows, MLWB, etc.) •
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Analytics, Finance, or related field •
  • Strong understanding of Celonis AI capabilities - Process Copilot, ML Workbench, execution apps, and prebuilt applications (end-to-end implementation) •
  • Expertise in data modeling, PQL/SQL, Action flows, process mining graphs and analytics/dashboard development •
  • Experience with data pipeline development and ETL processes •
  • Experience with predictive analytics and process insights (forecasting, anomaly detection, root cause analysis) •
  • Understanding of finance processes (O2C, P2P, R2R) •
  • Experience in process improvement, analytics, or transformation environments •
  • Experience with SQL and scripting languages (e.g., Python ) is preferred •
  • Willingness to learn and work across multiple areas of value-driven data and analytics, utilizing Power BI, Snowflake, and related technologies •
  • Ability to manage multiple tasks and deliver in a fast-paced environment •

Additional details

  • We are working to increase vehicle safety by developing seatbelts, airbags and steering wheels and you can be part of our team as Process Intelligence Senior Specialist .
  • Our COE team is on a mission to improve business outcomes and employee experiences by driving step-change improvements in critical enterprise processes, and the technology and analytics supporting these.
  • We are seeking a Process Intelligence Senior Specialist ( Celonis ) to join our Process Intelligence COE Team.
  • This role is responsible for designing, building, and supporting Celonis-based process intelligence solutions across global finance processes.
  • If you will be able to manage the following key responsibilities: •
  • Collaboration & Partner with business process SMEs, value engineers, and process owners to understand process requirements, translate them into data models, and provide technical guidance for building value‑driven use cases. •
  • Adhere to data governance, compliance, and internal standards •
  • Continuously learn and apply new Celonis and data engineering capabilities and if you have: • 4–7 years of proven
  • Strong stakeholder collaboration in a global and cross-functional environment •
  • Strong analytical mindset with attention to data quality and accuracy •

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