Head Operation-Precision Machine Engineering, P&L, Industry 4.0, AI

20 - 29 years

70 - 100 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Head Operations (Precision Engineering / Advanced Manufacturing)

Grade:

Role Purpose

end-to-end operational excellence

drive Factory of the Future initiatives

succession role for COO

Key Objectives

  • Deliver production volumes at

    target quality, cost, and delivery (OTDIF)

  • Drive

    operational profitability, cost optimization, and asset utilization

  • Standardize

    manufacturing processes, systems, and governance

    across units
  • Lead

    automation, digitalization, AI adoption, and smart factory initiatives

  • Embed

    safety, compliance, sustainability, and continuous improvement culture

  • Enable

    scalable new product introduction (NPI/NPD)

    and faster time-to-market

Strategic Responsibilities

Operations & Business Strategy

  • Develop and execute

    operations and manufacturing technology strategy

    aligned with overall business goals
  • Translate business strategy into

    operational roadmaps, capacity plans, and investment priorities

  • Lead

    Capex planning, ROI analysis, and business case justification

    for automation, robotics, and digital initiatives
  • Collaborate closely with

    CEO, CTO, Sales, NPD, PMO, and external partners

Functional Responsibilities

Manufacturing & Operations Excellence

  • Cascade operational plans into

    daily / monthly / quarterly execution targets

  • Monitor and improve

    lead time, FTR, OTDIF, productivity, and throughput

  • Drive

    manufacturing process optimization

    (assembly lines, layout, quality gates, inventory flow)
  • Ensure

    uniform quality systems, SOPs, and best practices

    across business units
  • Own

    operational cost control, efficiency improvement, and margin enhancement

Factory of the Future | Industry 4.0 | AI Impact

  • Lead

    automation and robotics implementation

    across manufacturing and assembly
  • Enable

    AI-driven insights

    for predictive maintenance, production planning, quality analytics, and capacity optimization
  • Implement

    smart factory systems

    , MES, digital dashboards, and real-time performance monitoring
  • Balance

    technology adoption with workforce capability building

Safety, Compliance & Sustainability

  • Own enterprise-wide

    safety performance and HSE standards

  • Ensure compliance with

    global and regional regulatory standards

    (21 CFR, US FDA, ECEP, local regulations)
  • Drive

    green manufacturing and sustainable practices

    without compromising growth

Continuous Improvement & Lean Transformation

  • Lead large-scale

    Lean, Six Sigma, Kaizen, 6S, 7QC, Kanban

    initiatives
  • Institutionalize

    continuous improvement culture

    across all levels
  • Deliver measurable gains in

    productivity, quality, cost, and delivery

New Product Development & Industrialization

  • Assess feasibility and manufacturability of

    new product concepts

  • Define priorities and targets for

    NPD, Application Engineering, and PMO

  • Ensure

    stage-gate discipline

    , structured documentation, and design-to-manufacture alignment
  • Support faster

    product launches and version upgrades

Project Management & Governance

  • Oversee execution of strategic and operational projects via PMO
  • Review progress, manage escalations, and provide corrective guidance
  • Chair or participate in

    project steering committees and governance reviews

People Leadership & Capability Building

  • Build a

    high-performance, accountability-driven leadership team

  • Drive

    succession planning, leadership development, and skill upgrading

  • Foster employee engagement, ownership, and continuous learning
  • Support HR in

    hiring senior technical and operational leaders

Key Result Areas (KRAs)

  • Plant utilization & capacity effectiveness
  • Production vs plan achievement
  • Operational cost control & margin improvement
  • Process standardization & digital maturity
  • Product quality deviations & rework reduction
  • On-time delivery performance
  • Safety & compliance metrics
  • New product launches & time-to-market
  • Continuous improvement impact

Education & Experience

Minimum:

  • B.Tech / M.Tech / MS in Engineering
  • 12-15 years in manufacturing / engineering operations

Preferred:

  • 20+ years in

    precision engineering, pharmaceutical machinery, or complex B2B manufacturing

  • Exposure to

    multi-plant operations, automation, and digital transformation

  • MBA / M.Tech / MS in Industrial Engineering or Operations (Tier-1 institutions preferred)

Career Path

Head Operations Chief Operating Officer (COO)

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