Mercedes-Benz High Power Charging NA Looking for at Farmington, MI Full Time

Position Title: Head of Network Planning & Data Analytics

Company: Mercedes-Benz High Power Charging NA

Location: New York, NY/ San Francisco Bay Area / Remote

Mercedes-Benz High Power Charging:

Shifting from electric-first to electric-only, the world’s pre-eminent luxury car company is accelerating toward an emissions-free and software-driven future. Mercedes-Benz is leading the charge by introducing a sophisticated electric vehicle charging network in North America – the first of its kind. This is your opportunity to be part of something that will have a lasting, positive impact on our planet.

As highly desirable as our Mercedes-Benz cars are today, they will be different going forward: greener, more efficient, and fully electric, making them even more desirable than they are today. But one thing will never change – the star. And the new star of the driving show is “Charging”.  With the transition to an electric-only mobility future, a seamless charging experience is essential for the overall EV driving experience and necessary for accelerating the overall industry’s transition to electric mobility.

Mercedes-Benz High Power Charging aims to redefine the electric vehicle charging experience. With over a century of luxury design and engineering, Mercedes is building on the Company’s strong brand promise by leveraging the renowned quality, reputation, and customer focus for which Mercedes-Benz has been known for well over a century, imbuing those qualities into its Charging efforts not only for its customers, but also for those customers driving other brands of vehicles.

As we embrace the future of sustainable transportation, we are committed to shaping the EV charging landscape and promoting a cleaner, greener future. We are seeking an accomplished Director of Network Operations to join the team and play a critical role in shaping the success of our EV charging initiatives. 

Press release:  Mercedes-Benz to launch global branded high-power charging network, starting in North America

What you will do

The Head of Network Planning and Data Analytics will play a pivotal role in shaping the strategic direction of the Mercedes-Benz High Power Charging network. This leadership position requires a visionary who can balance complex network planning, data strategy and analytics, and financial acumen. The successful candidate will lead a team of experts, collaborating cross-functionally to ensure the company’s charging infrastructure is positioned for success. Reporting directly to the CEO, this role will oversee network design, location selection, economic analysis, and data-driven frameworks and decision-making processes. Additionally, the position entails managing the Capital Investment Committee to assess site and portfolio opportunities. The Head of Network Planning and Data Analytics will guide the evolution of our charging network, ensuring its competitiveness and market-leading position.

Key Responsibilities

• Network Strategy Development: Lead the development of a comprehensive and forward-thinking network strategy for Mercedes-Benz High Power Charging, incorporating data-driven insights, seamless and differentiated driver experiences, market trends, and business objectives. Own the Company’s Network Plan, including market selection and entry, corridor planning and design, urban vs coverage mix, site specific placement, partner selection, site expansion triggers, and other relevant strategic growth projects. Manage the evolution of the Network Plan based on changing market information and other inputs, including Company goals and objectives.
• Data Engineering: Oversee the data engineering process, including the Company’s data strategy – Data-In-Data-Out (“DIDO”), including the ingestion from 1st and 3rd party vendor sources, data warehousing, data layers, and data integration to ensure a robust and reliable data foundation for analytics and scaled operational use. Manage any 3rd party relations and validate data sources as part of procurement diligence, as well as on-going operations.
• Data-Driven Analysis: Utilize advanced data science and business intelligence techniques to conduct quantitative and economic analysis, enabling informed decisions about site selection, market entry, and route planning. Collaborate with Finance team to incorporate financial assumptions into models and decision frameworks to guide informed quantitative and qualitative decision making.
• Site Development Planning: Collaborate closely with the Site Development team, including Mercedes-Benz’s development partner (MN8), to translate the evolving Network Plan into actionable guidance for the team’s respective sales and development efforts. Assist in site development opportunity diligence, including site partner viability, portfolio analysis, and other operational scopes that impact network composition and economics.
• Capital Committee Management: Manage the Capital Investment Committee process, which is responsible for evaluating and approving investment opportunities at both site and portfolio levels, ensuring alignment with Company goals and financial objectives. Collaborate with Co-Investment Chairs (CEO/CFO), as well as other relevant stakeholders, including Site Sales, Network Operations and Development, Finance, and Policy to help facilitate financially and strategically sound decisions. Build tools and processes to create an efficient review process, including automation, record keeping, and plan vs actual tracking.
• Charging Infrastructure Performance: Monitor and assess the performance of charging stations using data-driven metrics, identifying areas for improvement, and implementing measures to ensure peak operational efficiency. Establish KPIs and performance metrics to assess the effectiveness of the charging network, driving continuous improvement and growth.
• Expansion and Market Entry: Determine optimal timing for site expansion, market entry, and route development, based on thorough analysis of demand, infrastructure, competition, and regulatory considerations. Work closely with public funding team to incorporate available funding opportunities in forward planning and subsequent site development execution roadmap.
• Data Strategy Leadership: Define and execute the overall data strategy for the EV charging network, leveraging data intelligence and analytics to enhance network planning and optimize operations.
• Collaboration: Foster strong cross-functional collaboration with site development, product and engineering, finance, marketing, and other departments and partners to align network planning efforts with broader company objectives. Serve as one of the main point persons for collaboration with Mercedes-Benz’s development partner (MN8).
• Market and Trend Analysis: Stay current with EV charging industry trends, consumer preferences, and competitive landscape to inform decision-making and refine offerings. Conduct ongoing benchmarking activities to analyze competitor offerings and best-in-class practices in the EV charging industry. Leverage insights from benchmarking to identify opportunities for differentiation, innovation, and continuous improvement in our consumer and network offerings.

Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. Advanced degree (Master’s or PhD) preferred.
• Minimum of 8-10 years of experience in data science, data engineering, or related roles, with a proven track record of leveraging data to drive strategic decision-making. Experience working in strategy functions with either direct financial ownership or indirect financial exposure prioritized.
• Strong financial and analytical acumen with the ability to translate market and network insights into actionable strategies, leveraging data to refine consumer offerings and achieve business objectives, including managing budgets and investment decisions.
• Expertise in data engineering concepts and technologies, including data ingestion, ETL processes, data warehousing, and data modeling.
• Proficiency in advanced analytics techniques, machine learning, and statistical modeling to extract insights from complex datasets.
• Solid programming skills in languages such as Python, R, or similar, along with experience with data manipulation and visualization libraries.
• Deep understanding of business intelligence tools, data visualization platforms, and dashboard creation.
• Proven expertise in benchmarking and competitive analysis, staying abreast of industry trends and best practices to inform strategic decision-making.
• Proven ability to lead and mentor a team of data scientists, data engineers, and analysts.
• Exceptional leadership and communication skills, with the ability to inspire cross-functional teams, influence stakeholders, lead the execution of complex initiatives, and convey complex technical concepts to non-technical stakeholders.
• Collaborative mindset, with the ability to work effectively across cross-functional teams and influence decision-making.
• Strong problem-solving skills and the ability to navigate ambiguity, make informed decisions, and drive projects to successful completion.
• Impeccable attention to detail, a commitment to excellence, and a results-driven approach to achieving organizational objectives.
• Presence to interface with external stakeholders and customers alike, articulating ideas clearly and compellingly for those with less market background.
• Previous experience in the automotive, energy, or electric mobility industry is a strong plus.
• A passion for sustainable mobility and electric vehicles, coupled with a forward-thinking mindset to navigate the evolving landscape of the EV charging industry and leveraging data for positive environmental impact.

Personality and Cultural Fit:

At Mercedes High Power Charging, we are not just an automotive industry leader; we are also trailblazing the future of electric mobility with the agility and spirit of a startup. As a startup within a renowned global brand, we embrace innovation, scrappiness, and a builder’s mindset to revolutionize the electric vehicle charging landscape. We are looking for someone who can thrive in our dynamic and entrepreneurial environment, contributing their passion, adaptability, and comfort with ambiguity to drive our success. 

Our fast-growing startup division within Mercedes requires employees who embody the following traits:

• Startup Mentality: Embrace innovation, take calculated risks, and move swiftly to achieve breakthroughs.
• Scrappiness: Thrive in resource-constrained situations and find creative solutions.
• Builder’s Mindset: Envision the big picture and lead the team in creating world-class EV charging solutions.
• Comfort in Ambiguity: Adapt and strategize effectively in a rapidly evolving industry.
• Collaborative Spirit: Foster a culture of teamwork and work seamlessly with global teams.
• Passion for Sustainability: Share our commitment to a greener future and advancing clean energy initiatives.

Join Mercedes in pioneering the electric vehicle charging landscape and shaping the future of sustainable transportation. If you possess the skills, expertise, and ambition to lead product excellence, drive technological innovation, and coordinate with global teams effectively, we eagerly await your application.

Posting Statement:
Disclaimer: This position is for Head of Network Planning & Data Analytics of a new Mercedes-Benz entity known as “Mercedes-Benz High Power Charging NA”.  Mercedes-Benz High Power Charging NA is currently being established as an employer. Since Mercedes-Benz High Power Charging NA is not yet able to hire employees, this position will temporarily be on the payroll of Mercedes-Benz Financial Services USA LLC. Once Mercedes-Benz High Power Charging NA is able to hire employees, this position will be transferred to Mercedes-Benz High Power Charging NA’s payroll.
Applicants must be legally authorized to work in the U.S. at the time of application. 

Mercedes-Benz Financial Services is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

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