With a focus on Mobility, Operational Excellence, Value to our Customers and the electrification of vehicles, you can expect to be part of something exciting. From the sleek design of our vehicles to the unique opportunities we offer around the globe, Nissan exemplifies ingenuity in everything we do. Our people are what drive the business forward.

We’re currently looking for a Data Analytics and AI Principal to join our team at our Nissan Americas HQ in Franklin, TN or Remote.

Job brief

The Data Office is responsible for leading data initiatives which span across master data, transactional data and 3rd party data sets. The scope is all of Americas regions - North and South America. 

As the leader within the team, you will understand business, connect with business leaders and identify opportunities, needs/requirements, drive implementation and management of data assets, build business relationships, support and collaborate on data governance program. The role works with internal business leaders and IT staff to deliver analytics products, drive usage of products, educate business on data driven decisioning, serve as a data SME on major business initiatives.

Primary Responsibilities

• Participate in business requirements gathering and assist in translating business requirements into technical requirements
• Manage technical execution of development tasks to ensure that solutions add real business value, data architecture is aligned with business goals, and the design is consistent with the enterprise architecture strategy
• Manage support tasks and ensure root causes are understood and resolved.
• Have hands on knowledge on all technical aspect of data management which includes master data, data governance and transactional data. 
• Embrace key, modern technology trends in data and help the development teams leverage those technologies and provide business value.
• Support and disseminate enterprise data management strategies and drive the execution of these strategies with stakeholders.
• Be a major contributor to the long-term strategy for data ecosystem/platform.
• Demonstrates leadership qualities and experience. Can work with business stakeholders from a variety of departments.
• Work with the functional groups responsible for managing data to ensure consistency, uniformity and accuracy across Nissan Americas. 
• Evaluate issues in the governance of enterprise data, including problem definition, root cause analysis, and opportunity and solution recommendations

Minimum Qualifications

• Min 10 to 15 years of experience in analytics and enterprise data management strategies
• Strong knowledge of modern technologies in analytics & data science space
• Demonstrated sense of logic, creativity, decision making & problem resolution • Excellent communication skills
• Ability to multi-task and provide high quality solution under pressure, operate with minimal information and lack of clarity
• Drive analytics products proactively by partnering with business and being a thought leader

Must Have Requirements

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Self-starter with excellent interpersonal skills, accountability, and project management skills
• Ability to work under pressure in a demanding, fast-paced environment and to work under tight time constraints and meet deadlines.
• Ability to manage a team
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Extensive knowledge of data science models and statistical packages for analyzing datasets
• Experience with queries, visualization and presenting findings
• Experience working in an agile team
• Strong oral and written communication skills
• Bachelors in Computer Science, Information Management or Data Science.  

Preferred Requirements 

• Master’s Degree Preferred
• Project management skills

Competencies

• Customer focus - Gains insight into customer needs; identifies opportunities that benefit the customer; builds and delivers solutions that meet customer expectations; establishes and maintains effective customer relationships.
• Decision quality – Makes sound decisions, even in the absence of complete information; relies on a mixture of analysis, wisdom, experience, and judgment when making decisions; considers all relevant factors and uses appropriate decision-making criteria and principles; recognizes when a quick 80% solution will suffice.
• Communicates effectively – Is effective in a variety of communication settings: one-on-