# Senior Manager (Industrial Engineering) at Autoliv Group > India · Manager · Software engineering · open. Source: https://alderhq.app/jobs/teamtailor%3Aautolivgroup%3Ab0d707f4-daf8-4d5b-b1ec-18c3eebeadc0 (read 2026-11-14). ## Facts (observed) - Company: [Autoliv Group](https://alderhq.app/companies/autoliv-group) - Location text: Jhajjar, India - Where it can be done from (inferred): India (evidence: "Location lists "india"") - Posted: 2026-11-02 (13 days ago) - First seen by alder: 2026-11-07 · last verified: 2026-11-08 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://careerindia.autoliv.com/jobs/8648211-senior-manager-industrial-engineering ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (India, n 43): p25 ₹20.1L, median ₹30L, p75 ₹41.3L ## Description (the employer's text) ### About the Role We are looking for an experienced and results-driven Plant Process Engineering & Development (PED) Leader to drive manufacturing excellence, industrialization, automation, and digital transformation initiatives. This role will be responsible for developing world-class manufacturing systems, enhancing productivity, optimizing capacity, leading CAPEX projects, and ensuring successful new product introductions while supporting the plant's Industry 4.0 journey. ### Key Responsibilities ### Industrialization & Manufacturing Excellence Lead greenfield and brownfield industrialization projects from concept to implementation. Design and optimize manufacturing lines, layouts, and workflows in line with global standards and ergonomic requirements. Install, validate, and industrialize new equipment and processes to support product launches. Drive process improvements through line balancing, efficiency enhancement, and resource optimization. Conduct machine risk assessments and implement corrective actions. ### Automation & Digital Transformation Lead Industry 4.0 and digitalization initiatives across manufacturing operations. Identify and implement automation solutions to improve productivity, quality, and operational efficiency. Collaborate with global teams to standardize processes, share best practices, and deploy Yokoten initiatives. Support technology development and adoption of advanced manufacturing solutions. ### Capacity Planning & Productivity Develop capacity heat maps, identify constraints, and proactively eliminate bottlenecks. Drive productivity improvement programs and monitor efficiency performance. Provide strategic recommendations on capacity expansion and resource utilization. Partner with plant leadership to support long-term manufacturing growth plans. ### CAPEX & Cost Management Manage CAPEX planning, budgeting, estimation, and project execution. Ensure projects are delivered on schedule and within approved budgets. Drive cost reduction and automation savings initiatives across operations. Act as a key advisor on capacity investments and future manufacturing requirements. ### What We're Looking For Strong expertise in Manufacturing Engineering, Industrialization, Automation, and Process Development. Hands-on knowledge of Lean Manufacturing, Continuous Improvement, and Industry 4.0 technologies. Experience in electrical, mechanical, automation systems, and PLC-controlled equipment. Proven ability to lead large-scale manufacturing projects and cross-functional teams. Strong problem-solving, stakeholder management, and strategic planning capabilities. Experience collaborating with global teams and driving standardization initiatives. ### Education Bachelor's Degree in Mechanical, Electrical, Electronics Engineering, or equivalent. ### Experience 15-18 years of experience in manufacturing, process engineering, industrialization, or operations excellence roles. Demonstrated success in leading complex projects, managing teams, and delivering measurable business results. Experience within large-scale manufacturing environments, preferably supporting OEM or automotive operations. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/teamtailor%3Aautolivgroup%3Ab0d707f4-daf8-4d5b-b1ec-18c3eebeadc0 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.