VP of Data and AI

Norwell, MA, United States

Clean Harbors

Everywhere industry meets environment, Clean Harbors is on-site, providing premier environmental and industrial services.

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The Vice President of Data and AI is a strategic leadership role responsible for driving the vision, strategy, and execution of data and artificial intelligence initiatives across the organization. This individual will lead the development and implementation of data-driven solutions, AI models, and advanced analytics to support business objectives, enhance decision-making, and deliver innovative products and services. The VP of Data and AI will oversee cross-functional teams, foster a culture of data excellence, and ensure the organization leverages cutting-edge technologies to maintain a competitive edge in the market.  

Why work for Clean Harbors?

  • Health and Safety is our #1 priority, and we live it 3-6-5!
  • Competitive wages and robust career growth opportunities.
  • Comprehensive health benefits coverage after 30 days of full-time employment.
  • Group 401K with a company matching component.
  • Generous paid time off, company-paid training, and tuition reimbursement.
  • Positive and safe work environments, with sustainability as a core value. 
  • Strategic Leadership: Define and execute the vision, strategy, and roadmap for data and AI initiatives, aligning them with business goals. Champion data and AI as strategic assets to drive innovation, efficiency, and customer satisfaction. Collaborate with C-suite and senior leaders to identify opportunities for solving complex business problems. 
  • Team Leadership and Development: Recruit, develop, and retain top talent in data science, machine learning, and analytics. Foster a culture of collaboration, innovation, and continuous learning. Provide mentorship and ensure team members have the skills and resources to succeed. 
  • Data and AI Product Development: Oversee the design, development, and deployment of AI models and data-driven solutions. Integrate AI and data capabilities into products and platforms. Promote best practices in data governance, quality, and security. 
  • Cross-functional collaboration: Partner with product, engineering, and business teams to identify opportunities for enhancing products and customer experiences. Collaborate with IT to ensure scalable and secure data platforms. Work with stakeholders across sales, marketing, finance, and operations to deliver actionable insights and drive data-informed decisions. 
  • Performance Measurement and Improvement: Establish KPIs to measure the effectiveness of data and AI initiatives. Continuously optimize models for accuracy, scalability, and business impact. Stay updated on industry trends and emerging technologies to maintain a competitive edge. 
  •  Bachelor’s degree in computer science, Data Science, Engineering, or a related field. Advanced degrees (Master’s or Ph.D.) preferred. 
  • Minimum of 15 years of experience in data science, AI, or related fields, with at least 7 years in a leadership role. 
  • Proven track record of building and scaling data and AI teams and delivering impactful data-driven solutions. 
  • Experience with advanced analytics, machine learning, and AI technologies, including Python, R, TensorFlow, or PyTorch tools. 
  • Experience in managing data platforms, reusable data products, DataOps, MLOps, model training, and reinforcement learning capabilities. 
  • Strong understanding of data architecture, governance, and integration concepts. 
  • Experience working with cloud platforms (e.g., Azure, Google Cloud) and big data technologies (e.g., Databricks, MS Fabric) is a plus. 

 Skills and Competencies: 

  • Strong strategic thinking and problem-solving skills with the ability to translate business needs into technical solutions. 
  • Excellent communication and interpersonal skills, with the ability to influence and collaborate with stakeholders at all levels. 
  • Demonstrated ability to manage multiple concurrent projects and prioritize effectively in a fast-paced environment. 
  • Comfortable working with SQL, data visualization tools, and other analytics platforms to derive insights and make data-driven decisions. 
  • Passion for innovation and staying ahead of industry trends in data and AI. 

Key Success Metrics: 

  • Delivery of high-impact data and AI solutions that drive business outcomes. 
  • Successful integration of AI capabilities into products and services. 
  • Development of a high-performing data and AI team. 
  • Positive feedback from stakeholders on the value and impact of data and AI initiatives. 

Wondering what to expect in starting your career with Clean Harbors? Click Here to view a Day in the Life Video!  

40 + years of sustainability in action. At Clean Harbors, our mission is to create a safer, cleaner environment through the treatment, recycling, and disposal of hazardous materials. Clean Harbors is the leading provider of environmental, energy and industrial services throughout the United States, Canada, Mexico and Puerto Rico. Everywhere industry meets environment, Clean Harbors is on-site, providing premier environmental, energy and industrial services. We are solving tough problems through innovation and proven methodology – come be part of the solution with us.  

Join our safety focused team today!  To learn more about our company, and to apply online for this exciting opportunity, visit us at https://careers.cleanharbors.com/.  

Clean Harbors is an equal opportunity employer. We do not discriminate against applicants due to race, ancestry, color, sexual orientation, gender identity, national origin, religion, age, physical or mental disability, veteran status, or on the basis of any other federal, state/provincial or local protected class. 

Clean Harbors is a Military & Veteran friendly company.  

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Deep Learning Jobs

Tags: Architecture Azure Big Data Computer Science Databricks Data governance DataOps Data visualization Engineering Finance GCP Google Cloud Industrial KPIs Machine Learning MLOps Model training Python PyTorch R Reinforcement Learning Security SQL TensorFlow

Perks/benefits: Career development Health care Startup environment

Region: North America
Country: United States

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