Data Analytics And Ai Principal (Remote)

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-one, small and large groups, or among diverse styles and position levels; attentively listens to others; adjusts to fit the audience and the message; provides timely and helpful information to others across the organization; encourages the open expression of diverse ideas and opinions.
• Ensures accountability - follows through on commitments and makes sure others do the same; acts with a clear sense of ownership; takes personal responsibility for decisions, actions, and failures; establishes clear responsibilities and processes for monitoring work and measuring results; designs feedback loops into work.
• Instills trust - follows through on commitments; is seen as direct and truthful; keeps confidences; practices what he/she preaches; shows consistency between words and actions.
• Manages complexities - Asks the right questions to accurately analyze situations; acquires data from multiple and diverse sources when solving problems; uncovers root causes to difficult problems; evaluates pros and cons, risks and benefits of different solution options.
• Drives results - Has a strong bottom-line orientation; persists in accomplishing objectives despite obstacles and setbacks; has a track record of exceeding goals successfully; pushes self and helps others achieve results.
• Collaborates - Works cooperatively with others across the organization to achieve shared objectives; represents own interests while being fair to others and their areas; partners with others to get work done; credits others for their contributions and accomplishments; gains trust and support of others.

Key Skills: ML, DL, Data Visualization using Tableau, ELT, NLP, NLQ, Augmented Analytics, Snowflake, AWS etc.
All of us at Nissan - regardless of functional area or expertise - 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. Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire. ***Visa sponsorship for this position is not available at this time.
NISSAN FOR EVERYONE
People are our most valuable assets, and diversity and inclusion are the key to maximizing the power of each individual member of our team. When everyone belongs, the power of NISSAN is undeniable. Our Corporate Diversity Initiative aims to improve business results by ensuring that our workplace and core businesses meet the unique needs of our employees and customer base.
Nissan is committed to creating a culture where everyone belongs and employees, customers, and partners feel respected, valued, and heard. We have over 10 Business Synergy Teams (BSTs) across the U.S. and Canada that connect employees - with shared characteristics or interests - 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 mirror the diversity of our customer base and the communities where we do business. We are committed to procuring innovative goods and services, retailing our products and communicating from a diverse perspective which will help us continue to offer our customers competitively designed, market-driven products.
Join us as we carry our commitment to diversity and inclusion into the future.
Franklin Tennessee United States of America