Manager - Strategy and Enterprise Analytics, GDIA

Strategy and Enterprise Analytics Team provides insights and decision support tools to a broad range of business partners in sustainability and Eelectric vehicles. We drive to deliver the most value to Ford through critical thinking, AI/ML, big data analytics and optimization techniques on Google Cloud Platform (GCP).​ The team leverages advanced analytics and domain knowledge to develop analytics models, transformational decision-support tools, and services to:​

• Increase profit while meeting North American regulatory compliance​
• Support strategic initiatives for electrification, especially in public charging, home power management, and energy services
• Design and build solutions that support holistic decision making at enterprise level (OGC)​

We are looking for a manager / product owner to lead a multi-skill team of data scientists, data engineers and software engineers in all phases of ongoing and future analytics services and product development, including problem formulation, data identification, model development, validation, and product launch. The candidate should have great independence, exceptional collaboration and leadership skills, and self-discipline to guide original applied research and choose appropriate methodologies to solve related problems. We are especially excited about candidates with supervisory experience, passion for hands-on work, strong technical skills and growth mindset who demonstrate a passion for developing talents and applying state-of-the-art solutions to novel and challenging problems.

Our team utilizes a diverse set of tools and methodologies from different technical fields including Machine Learning, Statistical Analysis, Simulation, Big Data platforms and more. We understand that you cannot be an expert in everything, and the set of techniques and technologies we are using today may change over time. Given the required qualifications, we are looking for candidates who are lifelong learners, driven, and curious.

• Lead a group of data scientists, data engineers, and software engineers, to solve exciting and meaningful problems
• Translate business needs into analytical problems, work hands-on along with the team, judge among candidate ML models, contribute towards best practices in model development, conduct code reviews, research state-of-the art techniques and apply them for the team and business needs.
• Develop and apply analytical solutions to address real-world automotive and Quality challenges
• Initiate and manage cross-functional projects, building relationships with business partners, and influencing decision makers
• Ability to work well under limited supervision and use good judgment to know when to update and seek guidance from leadership
• Communicate and present insights to business customers and executives
• Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results
• Explore emerging technologies and analytic solutions for use in quantitative model development
• Develop and sustain a highly performing team
• Ability to collaborate, negotiate, and work effectively with coworkers at all levels
• Works with Product Line Owner on creating demand and aligning the requirements to the Business demands

• Master’s degree in Engineering, Data Science, Computer Science, Statistics, Industrial Engineering, or other data-related fields
• 5+ years of domain experience in delivering analytics solutions in any of these areas (Sustainability / Regulatory, Electrification, Legal, Cycle Planning)
• 10+ years of experience in analytics domain with 3+ years of supervisory experience
• Familiarity with SQL, Spark, Hive, and other big data technologies
• Familiarity with Google Cloud Platform, Python, Spark, Dataflow, BigQuery, GitHub, Qlik Sense, CPLEX, Mach1ML, Power BI
• Demonstrated performance in working on developing analytical models and deploying them in GCP
• Strong drive for results, sense of urgency, and attention to detail
• Strong verbal and written communication skills with the ability to present to cross functional levels of management
• Ability to work in a fast-paced environment with global resources under short response times and changing business needs
• Familiarity with NLP, Deep Learning, neural network architectures including CNNs, RNNs, Embeddings, Transfer Learning, and Transformers.
• BEV experience a plus
• Deep understanding of Agile & PDO processes
• Software delivery experience a plus