Hyundai Motor America

Manager, PLM – Data Analytics & Performance Optimization – Cross Carline

31 May 2024
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Deadline date:
£86000 - £124000 / year

Job Description

At Hyundai, we’ve rethought our business and created cars that combine performance, quality, design and innovation into a complete package.

It’s time you rethink what you expect from an employer.

At Hyundai, we understand you’re not just building a career – you’re building a life. We believe in our people and realize that our success is a direct result of our commitment in offering you great opportunities for your career. If you would enjoy working in a dynamic environment and are looking for a chance to become part of a stellar team of professionals, we invite you to apply online today.

 

Location

NHQ

Purpose

  • The Manager, Product Line Management (PLM) – Data Analytics & Performance Optimization – Cross Carline is responsible for supporting a new team to

​​​​​​​

1) Enhance the speed of data analytics across all carlines to optimize business performance.

2) Support creation of all reporting and governance materials.

3) Lead creation of all ad hoc studies/presentations for senior management.

  • The PLM department is responsible for maintaining comprehensive, real-time knowledge of sales performance at a national/regional/market level, inventory levels/mix, product/pricing/incentive competitiveness, marketing effectiveness, region/dealer engagement levels, competitor activity, and segment dynamics.
  • The PLM department’s key mission is to achieve revenue and share objectives and provide strategic direction on strategies that optimize sales and profitability.

Major Responsibilities

  • This position supports the Sr. Manager, Product Line Management – Data Analytics & Performance Optimization – Cross Carline plus the broader PLM teams.
  • Elevate department big data analytics and data visualization capabilities (particularly down to region/ADI level for Incentives planning/optimization).
  • Elevate templates to ensure most relevant topics are prioritized for Governance meetings.
  • Support Cross Carline activities across all 3 vehicle teams (Car/Entry CUV, SUV, and EV).
  • Meet with vehicle teams to understand needs and develop new tools/dashboards to improve speed and quality of data analysis.
  • Collaborate with Sales Analysis & Forecasting and Incentives teams.
  • Develop and manage data flow to and from Regional Field teams

Major Responsibilities (continued)

  • Proactively analyze data relative to performance objectives, develop actionable recommendations to optimize performance, and present to department/executive management at regular department/governance meetings.
  • Support development of new methods for pulling together data from multiple data sources as well as multi-variable analysis to facilitate development of comprehensive business optimization strategies.
  • Business Unit Management: collaborate with all departments in PLM & Sales Planning Division for annual Business Plan development and objective setting and quarterly reporting.
  • Support evolving EV space with new techniques.
  • Support department budget (development, Prophix input, liaison with Finance).

Authority

  • Develop business case for performance improvement recommendations.
  • Manage cross-functional teams and projects.

Education

~ Must be a high school graduate~ Bachelor’s degree required.~ Master’s degree a plus

Related Experience

  • Six or more years of professional experience at a manufacturer or distributor of consumer products with direct data analysis responsibilities (business analytics, data science, planning, pricing, and/or incentives).
  • Extensive data analysis experience and data visualization expertise required.
  • Automotive industry experience preferred.
  • Cross-functional project management experience required.

Skills/Knowledge

  • Curiosity and initiative.
  • Strong analytical skills with attention to detail.
  • Ability to simplify complex issues, develop a compelling point of view, and persuasively make case for change leading to action.
  • Excellent communication and presentation skills.
  • Good organizational and teamwork skills.
  • Ability to multi-task.
  • Strong automotive industry and technology knowledge preferred.
  • Experience with business intelligence software like Tableau and database management with SQL.
  • Experience with statistical programming in Python or R preferred.
  • Strong knowledge of MS Office software.
  • Experience with a variety of data sources including: PIN, Maritz, GfK, S&P Global Mobility, Strategic Vision, Ace Metrix, etc.

Certification

  • N/A.

Physical Requirements

Normal office dutiesSome travel requiredTravel: 0% – 25%

Work Model

#LI-Hybrid (60% Onsite/40% Remote)

Affiliate

#Hyundai

Compensation

$86,800.00 – $124,000.00 Annual

Benefits

  • Monthly Hyundai/Genesis vehicle lease allowance (including insurance and maintenance)
  • Holiday Pay – the company shuts down with pay between Christmas and New Years.
  • Vacation and sick time off
  • Healthcare insurance (medical, dental, and vision)
  • 401(K) company match
  • Additional 401(K) Employer Enhanced Contribution program – eligible after 1 year of employment, in addition to the regular employer matching contribution
  • Basic life insurance, short- and long-term disability
  • Mental health, wellbeing, and employee assistance program
  • Health advocate (coordinate care and services, assistance with claim and billing issues, understanding Hyundai benefits)

 

Our Company adheres to the equal employment opportunity guidelines set forth by federal, state and local laws.  The information requested on this form is sought in good faith and will not be used to discriminate against the applicant based on race, religion or creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic characteristics, marital status, sex or gender (which includes pregnancy, childbirth, or related circumstances), gender identity, gender expression, age, citizenship, sexual orientation, family care or medical leave status, military and veteran status, political affiliation, or any other characteristic protected by federal, state and local laws.