Principal of Data Analytics and Artificial Intelligence

Focusing on Mobility, Operational Excellence, Value to our Customers, and the electrification of vehicles, you can anticipate being part of something exciting. From the sleek design of our vehicles to the intriguing opportunities we offer across the globe, Nissan epitomizes resourcefulness in all that we undertake. Our people are the engine that propels the business forward. We are currently searching for a Data Analytics and AI Principal to join our team at our Nissan Americas HQ in Franklin, TN. Job Description The Data Office is accountable for leading data endeavors that span across master data, transactional data, and third-party data sets. The scope encompasses all areas in the Americas - North and South America. As the leader within this team, you'll comprehend the business, connect with business leads, identify opportunities and needs/requirements, drive the execution and management of data assets, build business relationships, support and collaborate on the data governance program. This role works with internal business executives and IT personnel to deliver analytics products, drive product utilization, educate the business on data-driven decision-making, and serve as a data specialist on critical business initiatives. Primary Responsibilities Your role will involve participating in business requirements collection and aid in translating business requirements into technical requirements. You'll manage technical execution of development tasks to ensure solutions align with business value and data architecture, and that the design aligns with enterprise architecture strategy. You'll also manage support tasks to ensure root causes are understood and resolved. Minimum Qualifications The successful candidate must have a minimum of 10 to 15 years’ experience in analytics and enterprise data management strategies, strong knowledge of modern technologies in the analytics & data science space, and excellent communication skills. They should also have the ability to multi-task and provide high-quality solutions under pressure, operating with minimal information and lack of clarity. Must-Have Requirements The successful candidate must be a self-starter with excellent interpersonal and project management skills, and technical expertise regarding data models, database design development, data mining, and segmentation techniques. They must have the ability to work effectively under pressure in a demanding, fast-paced environment, and to tight deadlines. A Bachelor's degree in Computer Science, Information Management, or Data Science is a must. Preferred Requirements A Master’s degree and project management skills are preferred. Competencies The role requires someone who demonstrates strong customer focus, is able to make sound decisions even in the absence of complete information, and communicates effectively across a range of settings. Key Skills ML, DL, Data Visualization using Tubule, ELT, NLP, NLQ, Augmented Analytics, Snowflake, AWS, etc. All of us at Nissan share a passion to design, manufacture, and sell high-performance vehicles. It is Nissan's policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. Applicants must be legally authorized to work in the United States and will be required to provide proof of employment eligibility upon hire. Nissan is committed to creating an inclusive culture where everyone belongs. Employees, customers, and partners should feel respected, valued, and heard. We have over 10 Business Synergy Teams (BSTs) across the U.S. and Canada that connect employees, build allies, and foster a company culture where all employees feel supported and included. Nissan also values inclusion in all areas of our business as we strive to reflect the diversity of our customer base and the communities where we do business. We are committed to offering our customers competitively designed, market-driven products. Join us as we bring our commitment to diversity and inclusion into the future.