Lead Engineer - ED And BOM

Ford Motor Company; Chennai District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Ford Motor Company in Chennai seeks an experienced Automotive Engineer – NPD CAD Designer & Analytics Specialist to lead CAD development for Interior Trims and support GPDS milestones. You will own Interiors NPD lifecycle from A-surface evaluation to releasing items in Teamcenter, plus produce 2D drawings meeting Ford standards.

A blend of CAD/NPD with data analytics skills is expected. The role requires Catia V5, 3DX, Teamcenter, Vis-Mockup, FEDEBOM and basic Python/SQL knowledge to drive

Qualifications

• Bachelor's degree in Mechanical/Automobile engineering or related field.
• 8+ years in Automotive Product Development.
• 4–6 years in CAD/NPD development.
• Experience supporting CAD milestones (V0–V2, FDJ) in Ford environments preferred.
• Basic to intermediate data analysis or introductory machine learning is a plus.

Responsibilities

• Deliver 3D CAD for Interior Trims (IP, CNSL, Registers, Door Trims, etc.) using Catia, 3DX, Teamcenter and Vis-Mockup.
• Manage CDHR/BOM processes to ensure CAD population and health tracking.
• Perform DPA evaluations and interface/clearance studies with Vis-Mockup.
• Prepare 2D drawings per FECDS standards and Ford design rules.
• Collaborate with D&R Engineers to meet Ford standards at gateways.
• Drive CAD process automation and macros.

Skills

CAD/NPD engineering

Python for data analysis

Teamcenter expertise

Vis-Mockup

Education

Bachelor's degree in Mechanical/Automobile engineering

Tools

Catia V5

3DX

Teamcenter

Vis-Mockup

FEDEBOM

Job description

Job Description:

We are seeking an experienced Automotive Engineer – NPD CAD Designer & Analytics Specialist to join our Global Engineering team in Chennai, reporting to the CAD Manager LL6. This role is primarily focused on leading the delivery of high-quality CAD engineering for Interior Trims (IP, CNSL, Registers, Door Trims, Hard Trims & Soft Trims), supporting critical GPDS milestones (V0, V1, V2, FDJ) and ensuring FECDS compliance through Ford Process. You will own the entire Interiors NPD lifecycle — from A-surface evaluation and surface-to-CAD conversion, through DPA evaluation using Vis-Mockup, to releasing items in Teamcenter as part of the P-release process — while also preparing 2D drawings that meet Fords global standards and timelines.

In addition to core CAD/NPD responsibilities, this role offers an opportunity to apply data analytics and foundational machine learning skills to engineering data, helping the team identify trends, forecast workloads, and improve decision-making using tools such as Python and SQL/BigQuery. This is not a primary data science role; rather, it is intended for a CAD/NPD engineer who brings complementary analytical capability to enhance engineering efficiency and insight generation. The ideal candidate is a proactive, detail-oriented professional with strong Ford-specific tool expertise, a solid grasp of vehicle architecture and assembly sequences, and the curiosity to leverage data-driven approaches where they add value — all while embodying One Ford Behavior in a global, collaborative environment.

Responsibilities

CAD / NPD Engineering (Primary Focus)

• Deliver 3D CAD for Interior Trims (IP, CNSL, Registers, Door Trims, Hard Trims & Soft Trims) using Catia, 3DX, Teamcenter, and Vis-Mockup, along with 2D drawings and P-release process deliverables for global and region-specific programs.
• Manage CDHR/BOM processes using CDHR and FEDEBOM to ensure part claiming ownership, timely CAD population, and CDHR health tracking across all program gateways; resolve CDHR NOK issues in collaboration with Engineering & Suppliers.
• Perform DPA evaluations, including digital assembly checks, interface/alignment validation, distance measurements, and dynamic clearance studies using Vis-Mockup.
• Prepare and deliver precise 2D drawings in accordance with FECDS standards and Ford design rules.
• Collaborate cross-functionally with D&R Engineers to ensure all CAD deliverables meet Ford standards at every gateway/milestone.
• Ensure every gateway/milestone is aligned with Ford standards and design rule requirements.
• Drive innovation by participating in efficiency initiatives such as new Catia macros or CAD process automation.

Data Analytics & ML Support (Secondary Focus)

• Apply basic exploratory data analysis (EDA) and statistical techniques to engineering, BOM, and CDHR datasets to identify trends and anomalies relevant to NPD workload and complexity.
• Support the development of simple forecasting or predictive models (e.g., regression-based) to help estimate engineering workload and highlight complexity drivers.
• Write SQL queries (including in BigQuery) to extract and analyze engineering data as needed to support reporting and insight generation.
• Assist in building or maintaining lightweight dashboards to visualize engineering trends for team and stakeholder reviews.
• Collaborate with Analytics/Data Engineering teams when deeper AI/ML expertise is required, providing domain context and data interpretation support.

Qualifications

Education

• Bachelors degree in Engineering (Mechanical/Automobile) or related discipline.

Experience

• 8+ years of experience in Automotive Product Development.
• At least 4–6 years of specialized experience in new part development (CAD/NPD).
• Proven experience supporting CAD milestones (V0/V1/V2 & FDJ) within a Ford environment is highly preferred.
• Basic to intermediate hands-on experience (1+ years) applying data analysis or introductory machine learning techniques is a plus, but not a core requirement.

Functional/Technical Skills — CAD/NPD (Core)

• Advanced software proficiency in Catia V5, 3DX, Teamcenter, and Vis-Mockup.
• Expert knowledge of Teamcenter (AL-PL & P-Release process) and Ford BOM management systems (FEDE, CDHR).
• In-depth understanding of DPA process, vehicle architecture, systems/sub-systems, and assembly sequence logic.
• Knowledge of FMEAs and engineering quality standards.

Functional/Technical Skills — Data & Analytics (Supporting, Good to Have)

• Working knowledge of Python for data analysis (e.g., Pandas, NumPy) and basic familiarity with common ML libraries (e.g., Scikit-learn) is a plus.
• Basic SQL skills, ideally including exposure to Google BigQuery.
• General awareness of Google Cloud Platform (GCP) tools such as Vertex AI is a plus, but not required.

Preferred Skill Sets

• Strong interpersonal and communication skills to manage stakeholders, suppliers, and global customers.
• Highly motivated self-starter who can manage multiple tasks simultaneously under tight GPDS timelines.
• Ability to work across time zones and diverse cultures, always demonstrating "One Ford" behaviors.

Requirements: