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Role: We are currently hiring for the position of Director – LL5, who will serve as the owner and strategic leader of a multidisciplinary team comprising data scientists, data engineers, and software engineers. This role will oversee all stages of analytics services and product development, including:
- Defining and framing business problems
- Identifying relevant data sources
- Designing and developing analytical models
- Validating model performance and effectiveness
- Leading product deployment and launch initiatives
This is a high-impact leadership opportunity to shape the future of data-driven decision-making at Ford.
Scope: Drive AI and Analytics innovation for Finance Modernization
Master’s/bachelor’s degree in engineering or quantitative field.
- Proven hands-on expertise in Artificial Intelligence, with deep domain knowledge of Finance Modernization strategies and initiatives
- Skilled in leveraging big data technologies including SQL, Spark, and Hive to drive business insights
- Extensive experience with Google Cloud Platform and associated tools such as Python, Spark, Dataflow, BigQuery, GitHub, Qlik Sense, CPLEX, Mach1ML, and Power BI
- Demonstrated success in developing and deploying analytical models within cloud-based environments, particularly GCP
- Well-versed in advanced AI disciplines including Natural Language Processing (NLP),Deep Learning, and modern neural network architecture such as CNNs, RNNs, Embeddings, Transfer Learning, and Transformers
- Strong capabilities in business engagement, with a track record of translating complex problems into structured, impactful solutions
- Known for a meticulous attention to detail and a strong drive toward continuous improvement
- Adept at balancing innovation and analytical rigor, applying logical, methodical problem-solving approaches to dynamic challenges
- Highly articulate and credible communicator with strong presentation and interpersonal skills, able to influence at all levels of the organization
- Effective at managing multiple priorities, while maintaining high-quality outputs in fast-paced environments
Desired: Extensive experience in Finance Analytics, encompassing data-driven financial insights, forecasting, performance analysis, and strategic decision support.
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Provide strategic leadership and oversight for the Finance and Insurance Analytics teams located in the U.S. and India.
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Drive Finance modernization initiatives within the Global Data Insight and Analytics (GDIA) organization.
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Deliver actionable insights through clear, compelling communication with business stakeholders and executive leadership.
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Foster effective collaboration and negotiation across all levels of the organization to achieve business outcomes.
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Partner with Product Line Owners to generate demand and align requirements with broader business objectives.
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Establish priorities, allocate resources, and ensure high-quality and timely delivery of all associated projects.
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Act as a key liaison for technical collaboration between Finance and Insurance Analytics and other GDIA departments including DPE, AIAC, ISA, and SSDA.
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Lead strategic optimization of team resources and budgetary planning.
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Anticipate future business needs and translate them into actionable initiatives and analytics projects.
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Oversee recruitment, onboarding, and professional development of team members to foster a high-performing, diverse workforce.
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Actively participate in hiring efforts and promote diversity, equity, and inclusion across the department.
Manage purchased service engagements to support Finance and Insurance Analytics activities and delivery.
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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
India
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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