Production Planning Engineer

Job Title: Project Planning & Risk Analysis Engineer

• Experience: 3-4 years
• Qualification: Diploma/Bachelor’s degree in Civil Engineering
• Required Skills:
• Mandatory hands-on experience with Project Analyzer and XER Toolkit.
• Knowledge of Primavera P6 project schedules and XER files.
• Knowledge of VB scripting / VBA for automation.
• Understanding of civil engineering and on-site construction activities.
• Experience in project planning, scheduling, and progress monitoring.
• Knowledge of quality checks, project analysis, and risk assessment.
• Experience in project reporting and documentation.
• Good analytical and problem-solving skills.
• Key Responsibilities:
• Analyze Primavera P6 schedules using Project Analyzer and XER Toolkit.
• Identify schedule discrepancies, delays, dependencies, and project risks.
• Perform project quality checks and schedule analysis.
• Prepare project analysis reports and recommendations.
• Automate reporting and repetitive tasks using VB scripting.
• Coordinate with project planners, site engineers, and project management teams.

HR Screening Note: Prioritize candidates with hands-on experience in both Project Analyzer, Primavera P6 and XER Toolkit. 

Purchase Engineer / Purchase Executive

Company: Vardhaman Plastochem Pvt. Ltd.

Location: Govandi, Mumbai

Experience: 2–5 Years

Industry: Plastic / Manufacturing

Shift: 10–12 Hours

Education: Diploma / B.E. / B.Tech in Mechanical or Electrical Engineering

Summary:

We are looking for a Purchase Engineer / Purchase Executive with 2–5 years of experience in the plastic or manufacturing industry. The candidate will be responsible for sourcing materials, vendor development, purchase coordination, negotiation, and ensuring timely availability of materials as per production requirements.

Job Description:

• Manage procurement of raw materials, consumables, spare parts, and engineering items.
• Identify, evaluate, and develop reliable vendors and suppliers.
• Obtain quotations, compare prices, negotiate rates, and finalize purchase orders.
• Coordinate with production, stores, maintenance, and accounts teams for purchase requirements.
• Ensure timely delivery of materials as per production schedules.
• Monitor purchase orders, pending orders, delivery schedules, and supplier performance.
• Maintain purchase records, vendor data, quotations, and documentation.
• Follow up with suppliers regarding quality, quantity, and delivery issues.
• Support cost reduction and alternative vendor development.
• Ensure procurement as per company quality and commercial requirements.

Requirements:

• Diploma / B.E. / B.Tech in Mechanical or Electrical Engineering.
• 2–5 years of experience in Purchase/Procurement, preferably in the Plastic/Manufacturing industry.
• Good knowledge of vendor management, sourcing, negotiation, and purchase processes.
• Strong communication and coordination skills.
• Good knowledge of MS Excel and purchase documentation.
• Willingness to work 10–12 hour shifts.

Responsibilities:

• Handle procurement of engineering materials, components, and equipment.
• Identify and negotiate with vendors/suppliers.
• Generate and manage Purchase Orders (POs).
• Compare quotations and prepare comparative statements.
• Coordinate with suppliers for delivery, quality, and payment terms.
• Maintain purchase records and vendor documentation.
• Monitor inventory requirements and ensure timely material availability.
• Coordinate with Production, Stores, Quality, and Engineering teams.
• Develop new vendors and maintain existing vendor relationships.
• Follow company procurement policies and cost-control measures.

Required Skills:

• Procurement / Purchase
• Vendor Management
• Negotiation
• Purchase Order (PO)
• RFQ / Quotation Management
• Vendor Development
• Cost Analysis
• Inventory Management
• MS Excel
• ERP/SAP knowledge
• Engineering materials/components knowledge

Job Title: Corporate Quality MIS Analyst – Automotive / Wiring Harness

Location: Goregaon East

Experience: 3–7 Years

Industry: Automotive / Auto Components / Wiring Harness

Role Type: Corporate HO-Based

Job Summary

We are looking for a Corporate Quality MIS Analyst with 3–7 years of experience in the Automotive, Wiring Harness, or Auto Components industry. The candidate will be responsible for consolidating quality data from multiple plants, analysing Quality KPIs, preparing MIS reports and dashboards, and providing management-level insights for quality improvement.

Key Responsibilities

Consolidate plant-wise Quality MIS, KPIs, and performance reports.

Analyse PPM, rejection, rework, FPY, customer complaints, CAPA, and 8D data.

Prepare quality MIS reports, dashboards, trend analysis, and management presentations.

Coordinate with Plant Quality Teams to ensure timely and accurate data submission.

Identify quality trends, deviations, recurring issues, and improvement opportunities.

Maintain standardized Corporate Quality MIS formats, databases, and reporting systems.

Support management reviews with accurate quality data and analytical insights.

Track plant-wise quality performance and highlight gaps against defined targets.

Key Requirements

3–7 years of experience in Quality MIS / Quality Reporting within Automotive, Wiring Harness, or Auto Components.

Strong understanding of Quality KPIs, MIS reporting, and data analysis.

Advanced proficiency in MS Excel, including Pivot Tables, VLOOKUP/XLOOKUP, and dashboards.

Good knowledge of PowerPoint and management presentation preparation.

Knowledge of 7 QC Tools, 8D, CAPA, Root Cause Analysis, PPM, Rejection, Rework, and FPY.

Strong analytical, coordination, communication, and reporting skills.

Experience coordinating with multiple plant/quality teams will be preferred.

🚨 HIRING: SAP PP CONSULTANT | IMMEDIATE JOINERS PREFERRED 🚨

We are looking for experienced SAP PP Consultants for an exciting opportunity with a Hybrid Work Model.

📍 Location: PAN India

🏢 Work Mode: Hybrid

⏰ Shift Timings: 5:30 PM – 2:30 AM

⚡ Preference: Immediate Joiners

🔹 Key Skills Required:

✅ SAP PP Configuration & Fit-Gap Analysis

✅ Baseline Configuration & Data Migration

✅ Hypercare Support

✅ External Manufacturing & Subcontracting

✅ Third-Party Vendor Inventory Management

✅ Engineer-to-Order (ETO) Manufacturing

✅ MRP & Production Planning

✅ Discrete & Repetitive Manufacturing

✅ Work Centers & Routings

✅ Production Order Types

✅ Integration with SD / MM / QM / CO

✅ Functional Specifications

✅ Shop-Floor Dashboards & MES Integrations

✅ Custom Labels & Manufacturing Reports

🎯 Looking for candidates with strong hands-on SAP PP experience in manufacturing environments.

📩 Interested candidates can share their updated CV along with:

• Total Experience

• Relevant SAP PP Experience

• Current Location

• Current CTC

• Expected CTC

• Notice Period / LWD

• Contact Number

Please DM or share your profile with relevant candidates.

#Hiring #SAPJobs #SAPPP #SAPConsultant #SAPPPJobs #ImmediateJoiner #SAPRecruitment #ITJobs #HybridJobs #Manufacturing #SAPCareers #JobOpening #PANIndia

About the Role

Techtinium Technologies is hiring a Customer Solutions Manager to help build an AI-powered advanced production scheduling (APS) platform for manufacturers. The platform helps production planners build better schedules faster - replacing spreadsheets, legacy APS tools, and the manual workarounds planners build around scheduling systems such as SAP PP/DS, Siemens Opcenter, and PlanetTogether. The platform is used in aerospace, defense, and industrial manufacturing sectors.

This is a hands-on, customer-facing engineering role requiring deep ERP knowledge, not just conceptual familiarity. You will work directly with the existing and potential customers as one of the first specialized technical hires, with genuine influence over how the company approaches ERP-heavy accounts.

The role spans two connected areas:

• Customer Implementation & integration — working directly with customer IT and planning teams to extract and map master data (BOMs, routings, work centers, capacities, orders) out of the customer's ERP and into the platform, and designing clean, reliable data integrations for live production use.
• Competitive & Sales Support — bringing real advanced planning/scheduling implementation experience into the sales process, helping prospects understand concretely where the platform outperforms ERP-native scheduling tools (e.g. SAP PP/DS) in practice, and shaping proof-of-value engagements.

Key Responsibilities

1. Implementation & Integration

● Lead technical discovery with prospective and existing customers running ERP systems (commonly SAP, but also Oracle, Infor, and others), mapping their production planning data model and processes to the platform's implementation requirements.

● Design and build data integrations between the customer's ERP and the platform, including master data extraction and ongoing sync.

● Own the technical execution of proof-of-value (POV) engagements end-to-end from data extraction through pilot scheduling results.

2. Competitive & Sales Support

● Serve as the internal and customer-facing expert on where incumbent ERP-native planning/scheduling tools fall short operationally, and translate that into sharper competitive positioning.

● Support sales conversations and shape proof-of-value engagements at ERP-heavy accounts.

3. Product & Customer Support

● Partner with the product team to prioritize integration and platform requirements that support customer deals.

● Provide day-to-day customer solutions engineering support -configuration, troubleshooting, and training

What We're Looking For

● 4+ years of hands-on ERP experience, with direct work in production planning modules (e.g. SAP PP).

● Practical, configuration-level experience with an advanced planning / detailed scheduling module (e.g. SAP PP/DS), ideally including at least one full implementation or migration project.

● Working knowledge of ERP data structures relevant to production scheduling: BOMs, routings, work centers, capacities, planned/production orders.

● Experience integrating ERP systems with external systems.

● Strong communication skills - comfortable running technical discovery calls directly with customer IT and planning teams.

● Based in India, with the ability to work some overlapping hours with US-based team members.

Nice to Have

● Experience with SAP specifically, including S/4HANA embedded PP/DS and how it differs from legacy APO-based scheduling tools.

● Exposure to integration with adjacent planning/execution systems (e.g. SAP IBP, EWM, or MES systems).

● Prior experience at a manufacturing company (in-house), or a consulting / systems integration background.

● Startup or small-team experience — comfortable with ambiguity and wearing multiple hats.

Why This Role

● High-visibility, high-impact position at an early-stage company where your work directly shapes customer wins.

● Work alongside real manufacturing customers solving real production scheduling problems.

● Small team, fast decisions, no bureaucracy.

About Techtinium

Techtinium is a product engineering company helping customers across the globe build technology products that serve millions of users. We design, build and deploy software and AI products across a range of industries including manufacturing, enterprise, healthcare, e-commerce, and digital content. Over the years, some of our client engagements have grown into dedicated product companies of their own. We are a team of expert product designers, developers and research engineers working with customers across the globe, giving us an opportunity to experience diverse industries, cultures, and ways of thinking.

 Manage engineering projects from requirements gathering and planning through development, testing, release, and closure.  Create project plans, timelines, milestones, dependencies, and delivery schedules.  Coordinate with Engineering Managers, Tech Leads, Software Engineers, QA, Product Managers, and other stakeholders.  Track project progress, identify delays and dependencies, and drive corrective actions.  Facilitate sprint planning, daily stand-ups, sprint reviews, retrospectives, and other project ceremonies where required.  Maintain project trackers, RAID logs, action items, and status reports.  Identify and proactively manage project risks, technical dependencies, resource constraints, and delivery issues.  Communicate project status, risks, dependencies, and key decisions to leadership and stakeholders.  Coordinate releases and ensure development, QA, deployment, and business teams are aligned.  Manage scope changes and assess their impact on timelines, resources, and deliverables.  Ensure engineering deliverables meet agreed requirements, timelines, and quality standards.  Work with technical teams to understand project dependencies and translate them into actionable project plans.  Help resolve cross-team blockers and facilitate effective communication between technical and business teams.  Monitor resource allocation and work with engineering leadership to address capacity constraints.  Drive continuous improvement in project delivery processes and engineering collaboration. 

Industry: Solid Wood Furniture Manufacturing

Reporting to: Transformation Head

Location: Jaipur - Mahindra World City - Bagrur, Ajmer Road (multi-plant environment)

Looking for a candidate who has handled projects in manufacturing / Industrial Sector.

Role Purpose

The Transformation PMO will support and drive execution of a multi-year business transformation program aimed at scaling the organisation by 5X.

This is a high-energy, execution-oriented role for an early-career professional who can bring rigour, follow-through, and structure to multiple transformation initiatives, while working closely with senior

leadership.

Key Responsibilities

Transformation Execution

• Drive day-to-day execution of multiple transformation initiatives across operations, supply chain, ERP, sales, exports, domestic expansion, and cost optimization

• Break high-level initiatives into clear tasks, milestones, owners, and timelines

• Ensure timely closure of actions through rigorous follow-up PMO Governance & Tracking

• Maintain a central transformation plan and trackers

• Track milestones, dependencies, risks, and benefits

• Highlight slippages early and propose corrective actions

Senior Leadership Coordination

• Coordinate with senior leaders across Operations, Finance, Sales, Supply Chain, IT, and HR

• Act as a neutral execution enabler who can push, remind, and escalate diplomatically

• Prepare structured inputs for leadership

Reporting & Communication

• Prepare weekly progress updates and monthly leadership decks

• Maintain risk and issue logs with clear ownership and mitigation plans

Risk & Dependency Management

• Identify cross-functional dependencies and execution bottlenecks

• Proactively flag risks related to decisions, capacity, or timelines

• Track mitigation actions to closure

Ad-hoc Strategic Support

• Support leadership with data analysis, process documentation, workshops, and vendor coordination

• Act as a hands-on problem solver, not just a tracker

Candidate Profile

Experience

• 2–3 years of total work experience

• Exposure to PMO, consulting, operations excellence, transformation, or project execution roles preferred

• Manufacturing, supply chain, or ERP exposure is an advantage but not mandatory

Education

• Bachelor’s degree in Engineering, Business, Operations, or related field

• MBA / PGDM (Operations, Strategy, General Management) preferred but not mandatory

Skills & Competencies

Must-Have

• Strong execution and follow-up discipline

• Excellent written and verbal communication

• Comfort engaging with senior management

• Ability to manage multiple parallel workstreams

• Strong structuring, analytical, and problem-solving skills

• Proficiency in Excel and PowerPoint

Behavioural Traits

• High energy, ownership mindset, and drive

• Comfortable pushing timelines respectfully

• Proactive, resilient, and solution-oriented

• Learns fast and operates well in ambiguit

Role Positioning

• High-visibility role with close exposure to CEO / COO

ROLE SUMMARY:

An experienced, hands-on engineering role owning the electrical and electronics hardware content of motor-drive and sensor systems. The Electrical / Electronics / Instrumentation Engineer is responsible for power distribution and motor-drive power-stage design, sensor interface boards, and taking boards through EMI/EMC compliance, with full ownership of schematic capture and layout from concept to fab-ready.

RESPONSIBILITIES:

• Design power distribution and the motor-drive power stage (gate drives, current sense, H-bridge/inverter stages)
• Implement supervised discrete-line circuitry per IF-08 ICD requirements
• Design sensor interface boards (resolver, encoder, analog/digital signal conditioning)
• Take boards through EMI/EMC compliance for MIL-STD-461
• Own schematic capture and layout in Altium or KiCad end-to-end, from concept to fab ready.

REQUIRED QUALIFICATIONS

• B.E./B.Tech/M.E./M.Tech. in Electrical, Electronics & Communication, Electronics & Instrumentation, or any other relevant field.
• 4-8 years of relevant experience.

KEY COMPETENCIES

• Hands-on power electronics: gate driver design, current sensing, protection circuitry
• Analog signal conditioning for sensor front-ends (resolver, encoder, LVDT-class signals)
• Practical EMI/EMC design experience, ideally against MIL-STD-461 or equivalent (automotive/industrial EMC also considered)
• Strong Altium or KiCad skills — layout discipline for power + mixed-signal boards.
• Prior work on ICD-driven or interface-controlled discrete I/O circuitry
• Defence, aerospace, or automotive electronics background

Digital Mold Data Scientist and Manufacturing Analytics Specialist

Job Summary

COAST Systems is seeking a Data Scientist and Manufacturing Analytics Specialist in India to support a global client’s Digital Mold program.

This position will work with large and complex manufacturing, engineering, tooling, maintenance, and quality datasets. The successful candidate will transform fragmented operational data into reliable datasets, dashboards, actionable insights, and continuous-improvement opportunities.

This is a hands-on analytics role requiring close collaboration with engineering, manufacturing, operations, and business stakeholders. The position is particularly suited to someone who can understand a technical manufacturing problem, determine what the data is showing, and communicate practical recommendations that improve performance.

Key Responsibilities

• Collect, prepare, cleanse, normalize, and validate manufacturing and engineering data from multiple sources.
• Establish reliable and repeatable datasets for analytics, reporting, and decision-making.
• Analyze data to identify trends, risks, performance gaps, improvement opportunities, and potential cost savings.
• Develop and maintain dashboards, visualizations, KPI reporting, and business intelligence solutions.
• Analyze maintenance and operational performance using measures such as:
• Mean Time to Repair or MTTR
• Mean Time Between Failures or MTBF
• Overall Equipment Effectiveness or OEE
• Preventive and corrective maintenance performance
• Tool reliability, condition, quality, utilization, and lifecycle indicators
• Work closely with engineering and operations teams to convert technical and operational problems into data-driven solutions.
• Support continuous improvement, operational excellence, and process optimization initiatives.
• Align analyses and recommendations with client goals, priorities, and expected business outcomes.
• Identify relationships among tooling, maintenance, production, quality, sensor, and lifecycle data.
• Present findings clearly to technical and nontechnical stakeholders.
• Help establish consistent data definitions, analytical methods, and reporting standards.
• Support the development of predictive analytics, machine learning, and AI-enabled capabilities where appropriate.
• Learn the COAST software environment and relevant client or third-party systems.
• Help map and connect tool-specific data across systems so that information can be aligned and used consistently.

Required Qualifications

• Bachelor’s or master’s degree in data science, statistics, mathematics, computer science, engineering, operations research, or a related quantitative discipline.
• Strong data science and analytics experience involving large, complex, or multi-source datasets.
• Demonstrated experience with data preparation, cleansing, transformation, normalization, validation, and data-quality management.
• Strong statistical and analytical problem-solving skills.
• Proven experience developing dashboards, data visualizations, KPI reporting, and business intelligence solutions.
• Ability to analyze data and translate findings into clear, practical business or operational recommendations.
• Experience working with technical, engineering, operational, or business stakeholders.
• Strong continuous-improvement and process-optimization mindset.
• Ability to communicate clearly in English with global teams and client stakeholders.
• Ability to work independently, manage priorities, and investigate unclear or incomplete data.
• Strong attention to detail and commitment to data accuracy.

Preferred Qualifications

• Experience analyzing data in a manufacturing, engineering, maintenance, operations, or asset-management environment.
• Understanding of manufacturing equipment, tooling, maintenance, quality, and asset lifecycle concepts.
• Familiarity with MTTR, MTBF, OEE, preventive maintenance, reliability, and related manufacturing KPIs.
• Experience in plastics manufacturing or packaging, including any of the following:
• Injection molding
• Blow molding
• Extrusion blow molding
• Injection stretch blow molding
• Compression molding
• Other polymer-processing operations
• Experience working with cloud-based data platforms or data lake environments.
• Experience combining data from multiple software systems, databases, APIs, files, or vendor platforms.
• Experience with sensor, machine, equipment, IoT, or time-series data.
• Exposure to predictive analytics, machine learning, anomaly detection, forecasting, or AI applications.
• Experience developing analytics that lead to actionable workflows, reduced costs, improved reliability, or reduced manual effort.
• Experience supporting global organizations or working in a client-facing environment.

Technical Skills

Candidates should demonstrate proficiency in several of the following areas:

• SQL
• Python or R
• Statistical analysis
• Data preparation and transformation
• Data validation and data-quality analysis
• Dashboard and visualization development
• Power BI, Tableau, QuickSight, or a comparable BI platform
• Cloud data lakes or cloud analytics environments
• Relational and non-relational data sources
• Advanced Microsoft Excel
• Predictive modeling or machine learning
• API or multi-system data integration

Specific experience with every listed technology is not required. The candidate must, however, have strong foundational analytics skills and the ability to learn unfamiliar platforms and data environments.

Critical Competencies

• Analytical curiosity
• Structured problem-solving
• Systems thinking
• Data accuracy and attention to detail
• Continuous-improvement mindset
• Business and operational awareness
• Clear written and verbal communication
• Cross-functional collaboration
• Client responsiveness
• Adaptability and willingness to learn
• Ability to convert analysis into action

Experience

Approximately 4 to 8 years of relevant professional experience is preferred. Candidates with fewer years may be considered if they demonstrate strong hands-on analytics experience, manufacturing exposure, and the ability to work directly with engineering and operational stakeholders.

What Success Looks Like

The successful candidate will:

• Create trusted and repeatable manufacturing datasets.
• Deliver dashboards and reports that stakeholders actively use.
• Identify meaningful risks, trends, and improvement opportunities.
• Help engineering and operations teams make better decisions from their data.
• Improve the consistency of tool-specific information across systems.
• Progressively develop more advanced predictive and AI-enabled Digital Mold capabilities.
• Produce measurable improvements in reliability, operational performance, cost, and efficiency.

Suggested Key Skills

Data Science, Manufacturing Analytics, Data Analytics, Business Intelligence, Dashboard Development, Data Visualization, Power BI, Tableau, Amazon QuickSight, SQL, Python, R, Statistical Analysis, Data Cleansing, Data Normalization, Data Validation, Data Quality, Manufacturing KPI, OEE, MTTR, MTBF, Predictive Analytics, Machine Learning, Continuous Improvement, Process Optimization, Maintenance Analytics, Reliability Analytics, Cloud Data Lake, Sensor Data, IoT Analytics, Injection Molding, Plastics Manufacturing