Ford - Juneau, AK
posted 4 months ago
About the position
Ford Pro is a new global business within Ford committed to enhancing commercial customer productivity. This role as the AI Engineering Senior Manager is pivotal in delivering analytical models and solutions that leverage AI and advanced analytics to improve customer experience, increase revenue, and enhance operational efficiency. The successful candidate will have a robust technical background in Data Science, MLOps, and AI/ML Engineering, and will be responsible for coaching and developing direct reports while fostering strong relationships with business stakeholders across Ford Pro-Tech. In this position, you will collaborate with business customers to understand their challenges and develop strategies to address them using AI. You will help define the product vision and communicate it effectively to stakeholders, while also measuring the success of product initiatives through goal setting and monitoring key metrics. Your technical leadership will involve supporting reviews of analytical methods and AI solutions, prioritizing advanced analytics research, and leading the development of AI solutions. The role requires a delivery-focused mindset, driving AI products and services in partnership with cross-functional teams. You will influence product direction through compelling presentations and contribute to the advancement of the AI Engineering skill team by promoting best practices and mentoring other data scientists. The position demands proficiency in Google Cloud Platform services relevant to machine learning, a strong understanding of AI algorithms, and experience with machine learning frameworks and tools. You will also need to demonstrate strong problem-solving skills and the ability to communicate complex technical concepts effectively.
Responsibilities
- Collaborate with business customers to understand business challenges and develop strategies for solving them using AI and advanced analytics.
- Help define and communicate product vision and delivery with key stakeholders.
- Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
- Support technical reviews of analytical methods & AI solutions.
- Support the prioritization of advanced analytic research needed to advance the product's capabilities.
- Hands-on leadership of developing AI solutions.
- Establish and grow the AI Engineering skill team.
- Drive AI products and services end-to-end in partnership with Product, Engineering, and cross-functional teams.
- Influence product direction through clear and compelling presentations to leadership.
- Contribute towards advancing the AI Engineering skill team in Ford Pro through the Community of Practice.
- Promote and facilitate learning and development needs of the team.
- Support team members as part of the product delivery model.
Requirements
- Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT)
- 5+ years of experience of analytical methods and their proper application
- 5+ years of experience using AI/ML, data science software (e.g., Python-based tools)
- Experience in leading, hiring and growing Data Science teams.
- 4+ years of experience acting as the senior technical lead helping facilitate analytical/technical discussions on solution tradeoffs for new feature implementations.
- 4+ years leading and managing direct reports.
- Experience using Cloud Platforms and AI Platforms.
- Experience using Gen AI technologies.
Nice-to-haves
- PhD Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science)
- Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Naïve Bayes, Neural Networks, regression, image processing, natural language processing.
- Working knowledge of GCP.
- Expertise in open source data science technologies such as Python, R, Spark, SQL.
Benefits
- Generous PTO
- Retirement savings plans
- Stock investment plans
- Incentive compensation
- Professional and personal growth opportunities
- Recognition programs
