Manager, Data Value Creation Lead
2 months ago
What Makes a Honda, is Who makes a Honda
Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals.
At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint."
We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.
If your goals and values align with Honda's, we want you to join our team to Bring the Future
Job PurposeHonda's Sustainability and Business Development Business Unit is responsible for delivering Honda's Triple Zero goals of 100% carbon neutral products and operations, 100% clean energy for the entire value chain including product in-use, and 100% resource circularity using recycled and sustainably sourced materials. Electric vehicles are key to achieving this vision, and establishing Honda's role in the electricity ecosystem is the core reason for this position.
This role is a leader of Data Value Creation Unit in EV Charging Solutions team. Removing customer anxiety and improving CX/UX is the key success factor of EV proliferation and wide adoption. This role collects and combines customer, vehicle, digital platform data to create unique value to our customers and Honda business. The lead support business expert to set data project objective and business hypothesis. The lead manages challenging complex data project to deliver agile PoC and validate hypothesis. The lead develops value creation strategy, propose and gain approval by executive leadership.
The lead should have extensive communication skill to bridge project stakeholders as business expert may not be familiar with data and data expert has limited understanding of business domain and knowledge. It is important connect business and data expert and avoid any misunderstanding or over expectation and set mutual project goal. To achieve the goal, clear value creation process and evaluation scheme has to be developed. The lead act as data consultant for business expert to consult any data question or inquiry and support to achieve their business objective from data utilization context.
Data Value Creation Strategy, Planning & Execution
- Develop data value creation strategy, propose it to executive leadership and gain approval. Based on strategy, create execution plan. Collect key data use cases, support business expert to set hypothesis and seek means to deliver agile PoC and validate hypothesis. Identify mission critical data source and organize it as necessary with support by IT and data engineering team.
Business Expert Support
- Support business expert to breakdown business goal and objective, identify key data use case and/or business hypothesis that can be achieved by power of data. Support business expert, who may not be familiar with data analytics and tools, and to judge PoC if it meets business objective.
Communication with external partners:
- Proactively look for collaboration opportunities and request for support if it meets business objective and agile timeline. Behave as a data consultant for business expert to show external stakeholders who is helpful to solve data issue.
Executive leadership report:
- Energy Monthly Report
- IT Theme Quarterly Business Review
- BU & Division Quarterly Business Review
- FY2024 Report and FY2025 Business Plan Proposal at the end of fiscal year
- BA/BS or MS in Electrical Engineering, Electronics Engineering, Mechanical Engineering, System Engineering, Information Engineering, or relevant engineering degrees. MBA is plus.
- A miniumm of twelve years of experience in Data analytics, data science, data utilization work experience
- More than 5 years of large project management experience
- More than 3 years at an Auto OEM Other Job-Specific Skills
- Deep familiarity with customer data, marketing data, survey data
- Waterfall Project Management
- Agile Project Management
- Travel: 10% travel to suppliers and/or other Honda offices
- 50% Remote / 50% Office
At Honda, you will play a key role in our journey to become a company that society wants to exist now, and in the future. Your endless curiosity will drive innovation and your courageous spirit will challenge the status quo. We believe having a workforce made up of diverse thinkers and innovators makes us a better Honda. Respect for each other and respect for diversity each and every day drives our associates to contribute at the highest level and work effectively in a team environment. We make the dream of mobility a reality with our innovative and high-quality products. Together, we Bring the Future to our customers, associates, and communities. We are Honda
What differentiates Honda and makes us an employer of choice?
Total Rewards:
- Competitive Base Salary: Pay will be based on several variables that include, but not limited to, geographic location, work experience, education, etc.
- Annual Bonus
- Manager Lease Car
- Industry leading Benefit Plans (Medical, Dental, Vision, Rx)
- Paid time off, including vacation, paid holidays, sick time, personal days
- 401K Plan with company match + additional contribution
- Lifestyle Bonus
- Relocation assistance
Career Growth:
- Advancement opportunities
- Career mobility
- Education reimbursement for continued learning
- Training and Development programs
Additional Offerings:
- Wellbeing program
- Community service and engagement programs
- Product programs
- Free drinks onsite
Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
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