Manager - Strategy and Enterprise Analytics

Job Description - 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. Qualifications: - Masters 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