Jobs
Key Responsibilities:
- Technology Scouting & Analysis
- Continuously monitor and analyze emerging technologies in automotive and adjacent industries (e.g., AI, EVs, autonomous driving, connectivity, materials, manufacturing, and sustainability).
- Develop technology radar updates and comprehensive insights reports for product concepting and leadership team.
- Strategic Advisory & Integration
- Collaborate with product concepting teams and adjacent functions (including Purchasing, PD engineering, Planning and Program teams) to translate tech trends into actionable strategies and plans.
- Recommend technology adoption or partnerships that align with business goals and innovation roadmap.
- Support build vs. buy vs. partner decision-making.
- Ecosystem Engagement
- Build relationships with suppliers, technology partners and startups.
- Participate in selected tech conferences / forums, and innovation events to exchange tech insights.
- Cross-Functional Collaboration
- Act as a bridge between technical (e.g. digital team) and non-technical teams (e.g. concepting teams) to drive clarity and alignment on technology initiatives.
- Support internal capability building by educating stakeholders on emerging tech and their implications.
- Innovation Pipeline and Validation
- Contribute to tech and innovation pipeline development, by identifying and recommending new initiatives.
- Work with HCD team and the prototype teams to validate, pilot and de-risk new technologies.
Key Responsibilities:
- Technology Scouting & Analysis
- Continuously monitor and analyze emerging technologies in automotive and adjacent industries (e.g., AI, EVs, autonomous driving, connectivity, materials, manufacturing, and sustainability).
- Develop technology radar updates and comprehensive insights reports for product concepting and leadership team.
- Strategic Advisory & Integration
- Collaborate with product concepting teams and adjacent functions (including Purchasing, PD engineering, Planning and Program teams) to translate tech trends into actionable strategies and plans.
- Recommend technology adoption or partnerships that align with business goals and innovation roadmap.
- Support build vs. buy vs. partner decision-making.
- Ecosystem Engagement
- Build relationships with suppliers, technology partners and startups.
- Participate in selected tech conferences / forums, and innovation events to exchange tech insights.
- Cross-Functional Collaboration
- Act as a bridge between technical (e.g. digital team) and non-technical teams (e.g. concepting teams) to drive clarity and alignment on technology initiatives.
- Support internal capability building by educating stakeholders on emerging tech and their implications.
- Innovation Pipeline and Validation
- Contribute to tech and innovation pipeline development, by identifying and recommending new initiatives.
- Work with HCD team and the prototype teams to validate, pilot and de-risk new technologies.
Qualifications:
- Bachelor's or Master’s degree in Engineering, Computer Science, or a related field (MBA is a plus).
- 7+ years of experience in technology management, R&D, or innovation roles in the automotive or mobility sectors.
- Deep understanding of automotive industry trends, including electrification, autonomous driving, and digital.
- Strong analytical, strategic thinking, and communication skills.
- Proven ability to connect emerging technologies with business impact.
- Experience working with cross-functional and global teams.
Preferred Experience:
- Familiarity with regulatory and safety standards in the automotive industry.
- Experience evaluating technology partnerships.
- Prior work with technology foresight, roadmapping, or innovation frameworks.
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About Ford

Ford
PublicThe Ford Motor Company is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903.
10,001+
Employees
China
Headquarters
$48B
Valuation
Reviews
3.4
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.9
Management
2.3
45%
Recommend to a Friend
Pros
Good pay and benefits
Decent work-life balance options
Learning and advancement opportunities
Cons
Poor management and favoritism
Mandatory overtime and exhausting schedules
Limited growth opportunities
Salary Ranges
36 data points
Mid/L4
Senior/L5
Mid/L4 · ADAS Data Analytics Engineer
1 reports
$132,847
total / year
Base
$102,190
Stock
-
Bonus
-
$132,847
$132,847
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 40%
Neutral 40%
Negative 20%
Interview Process
1
Phone Screen
2
Technical Interview
3
Behavioral Interview
4
Final Round Interview
Common Questions
Behavioral
Technical
Assessment
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