Process Intelligence Senior Specialist - Autoliv - Bangalore

Process Intelligence Senior Specialist - Autoliv - Bangalore A quick look here can change lives! We usually respond within two weeks Autoliv's primary goal is to Save More Lives. Our products never get a second chance. This is why we can never compromise on quality. 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. 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. If you will be able to manage the following key responsibilities: 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 Work with IT and system owners to support data integration from SAP, JDE and other platforms. 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) 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. 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 Translate business and process requirements into scalable technical solutions Maintain technical documentation for data pipelines, models, and transformation logic 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 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 Ability to translate business requirements into technical solutions Strong stakeholder collaboration in a global and cross-functional environment Strong analytical mindset with attention to data quality and accuracy 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 Excellent communication and documentation skills Then we will be more than glad to chat with you about your experience and your career goals. In our international work setting, you will find a range of opportunities that are designed to enhance your career and personal development. Including new and different perspectives is part of what ensures the team’s success. We are committed to develop people’s skills, knowledge and creative potential. Our training and development programs emphasize technical competency, leadership development and business management skill. More lives saved – more life lived! Department Finance Locations Autoliv India Remote status Hybrid Autoliv India Outstanding People Embracing Change Our position as a worldwide leader in automotive safety systems, saving 37,000 lives every year, is achieved by our approximately 65,000 outstanding colleagues around the world. Their diverse assets, breadth and depth of expertise and desire to develop, in combination with Autoliv’s ambition to enable fulfilling careers, supports our vision of Saving More Lives. Learn more about our culture and Key Behaviours About Autoliv Group Autoliv is the worldwide leader in automotive safety systems. Through our group companies, we develop, manufacture and market protective systems, such as airbags, seatbelts, and steering wheels for all major automotive manufacturers in the world as well as mobility safety solutions. At Autoliv, we challenge and redefine the standards of mobility safety to sustainably deliver leading solutions. In 2025, our products saved 40,000 lives and reduced 600,000 injuries. Our ~64,000 colleagues in 25 countries are passionate about our vision of Saving More Lives and quality is at the heart of everything we do. We drive innovation, research, and development at our 13 technical centers, with their 17 test tracks.