Senior Director of Data and AI

ChargePoint; Campbell (CA); On-site; USD 167,000 - 365,000; Full time

Job summary

An established industry player is seeking a visionary leader to drive AI and data strategy within the EV charging sector. This role involves managing a talented team of engineers and data scientists to innovate and enhance the cloud software solutions that power ChargePoint's extensive network of EV charging stations. You will be at the forefront of applying cutting-edge AI and machine learning techniques to transform data into actionable insights, optimizing operations and improving the user experience for drivers. Join a forward-thinking company where your contributions will shape the future of sustainable transportation and make a significant impact on the industry.

Qualifications

• 10+ years of engineering management experience leading large teams.
• 5 years of experience in AI/Data Science with strong algorithm development skills.

Responsibilities

• Define and execute AI & Data strategy to drive innovation.
• Lead and mentor a team of engineers and data scientists.

Skills

AI Strategy

Machine Learning

Data Analysis

Statistical Analysis

Problem-Solving

Project Management

Presentation Skills

Communication Skills

Education

PhD in Computer Science

Masters in Statistics

Tools

Python

R

SQL

Tableau

MS Power BI

Spark

Hadoop

Job description

Reports To

Chief Development Officer

What You Will Be Doing

ChargePoint cloud software solutions manage hundreds of thousands of EV charging hardware ports that are a combination of ChargePoint and third-party hardware. All the telemetry from these managed hardware devices contributes to a massive data lake. ChargePoint applies AI, ML, and analytics to this dataset to enhance the cloud software end-user experience, charging experience for drivers, and optimize network operations. There are a range of new exciting use cases and problems we can solve with this data and advanced application of AI. The leader in this role will lead a team of data and software engineers, as well as data scientists, to drive new software innovation applying AI/ML to enhance differentiation and solve end-user/customer problems, advancing the state of the art in management of EV charging infrastructure.

What You Will Bring to ChargePoint

• Define and Execute AI & Data Strategy: Work with product managers and business stakeholders to define a long-term vision for differentiation with Data by applying AI and ML. Translate this vision into an execution plan, delivering products, features, and functions to support customer use cases and business outcomes.
• Lead, Expand and Mentor AI, Analytics Team: You will strengthen a team of approximately 25 engineers by hiring top talent. Oversee the AI & Data Engineering functions across three time zones that serve as the backbone of ChargePoint’s data assets. You will guide and mentor the team to execute at a high intensity. Your leadership will inspire the AI team to deliver cutting-edge innovation, transforming AI insights into a strategic advantage for the company, and pushing the envelope of what's possible.
• Own AI & Data Engineering Technology Direction: You'll architect and guide a scalable data & AI platform that is the strong foundation for real-time AI-based predictive and prescriptive insights, facilitating data-driven optimizations. This part of the role is about building and maintaining the 'how'—the infrastructure and applications that power customer use cases.
• Cross-functional Collaboration: Partner closely with product, engineering, marketing, and operations functions to align initiatives with company-wide goals, and foster a culture where data and AI innovation play a key part of the company’s Go-To-Market framework.
• Data Governance: Establish a foundation of trust in our data. Implement best-in-class governance practices working with the company’s cybersecurity, cloud operations, and other stakeholders to ensure data quality, security, and compliance—empowering ChargePoint to move fast without violating customer trust, privacy, and government regulations.

Requirements

• 10+ years of engineering management experience building, managing, and mentoring large teams.
• 5 years of relevant AI / Data Science experience in algorithm development, data analysis, statistical analysis, data modeling, and ML experience
  • Good understanding of Python, R, SQL, RDBMS, NoSQL databases, and big data solutions, including architecture issues.
  • Familiarity with basic statistical techniques for prediction and optimization.
  • Experience with Retrieval-Augmented Generation (RAG) Architecture for Generative AI.
• Strong presentation skills for internal and external executive audiences.
• Experience with data visualization and business intelligence tools (e.g., Tableau, MS Power BI, etc.) is a plus.
• Strong competency in problem-solving, analysis, and project management.
• Previous experience working in a fast-paced, fast-growing, and results-driven environment that demands consistent and enduring excellence.
  • Ability to identify issues and develop and implement solutions to meet departmental and company goals.
  • Strong organizational skills and the ability to prioritize and manage multiple projects simultaneously with complex and demanding deadlines.
  • Ability to work with ambiguity and create quick PoCs.
• Self-starter; strong drive, bias-to-action, commitment, and work ethic; willingness to take on big challenges and own the results from brainstorming to execution.
• Excellent written and verbal communication skills - Able to influence others effectively.

Preferred

• PhD or Masters in Computer Science/Statistics or related fields.
• Experience with distributed data processing technologies (Spark, Hadoop, etc.).
• Familiarity with cloud computing and data ecosystem in AWS & GCP.
• Designing and implementing real-time pipelines.
• Experience with prognostics and EV Charger management.

Working knowledge of mathematical and advanced machine learning concepts, including RAG.

Location

Campbell, CA

ChargePoint is committed to fair and equitable compensation practices. The targeted US salary range for roles at this operating level is $167,500 to $365,000. This range represents base salary and does not reflect equity, benefits, or variable pay where applicable. Actual base salaries are based on several factors unique to each candidate, including but not limited to skill set, experience, certifications, and specific work location.