VP of Data and AI

HPC Industrial-posted 9 months ago

Full-time • Executive

Norwell, MA

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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.

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.
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.
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.
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.
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.

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.

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.

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