About the Role
We are seeking a visionary and technically accomplished Vice President of Data Science to lead the global data science organization within a rapidly growing artificial intelligence and advanced analytics company delivering intelligent data platforms to enterprise clients across industries, including finance, healthcare, retail, and technology. This executive leadership role will oversee the development of cutting-edge data science strategies, advanced machine learning capabilities, and enterprise-scale analytics platforms that power the company’s data-driven innovation.
The Vice President of Data Science will play a critical role in shaping the company’s AI and analytics strategy while guiding teams responsible for designing predictive models, large-scale machine learning systems, and intelligent data-driven solutions that support enterprise decision-making. As organizations increasingly rely on data science and artificial intelligence to transform operations and unlock new business insights, this role will lead the development of scalable analytics frameworks that deliver measurable impact for customers and internal business operations.
This position will oversee multidisciplinary data science teams responsible for developing advanced analytics solutions, including predictive modeling, natural language processing, computer vision, recommendation engines, and deep learning algorithms. The Vice President will collaborate closely with engineering teams, product leaders, and executive stakeholders to ensure that the company’s data science initiatives align with its broader product innovation strategy.
In addition to overseeing research and development activities, the VP of Data Science will guide the operationalization of machine learning models into production environments. This includes implementing robust model governance frameworks, ensuring data quality standards are maintained, and overseeing scalable infrastructure capable of supporting large-scale AI deployments.
The role will also involve driving innovation within the organization’s analytics ecosystem by exploring emerging technologies such as generative AI, reinforcement learning, advanced neural networks, and automated machine learning platforms. The Vice President will work closely with research teams and external academic partners to ensure the organization remains at the forefront of data science innovation.
The ideal candidate will bring extensive experience leading large data science organizations within technology companies, analytics platforms, or AI-focused enterprises. This individual must possess strong leadership capabilities, deep technical expertise in machine learning and data engineering, and the ability to translate complex data science initiatives into real-world business value.
Ultimately, the Vice President of Data Science will be responsible for building a world-class data science organization that enables the company to deliver transformative AI solutions while maintaining leadership within the rapidly evolving field of artificial intelligence and advanced analytics.
Essential Duties and Responsibilities
• Lead the development and execution of the organization’s global data science strategy aligned with AI innovation and business growth objectives.
• Oversee multidisciplinary teams responsible for machine learning development, predictive modeling, and advanced analytics solutions.
• Guide the design and implementation of scalable machine learning systems and data science platforms.
• Collaborate with product and engineering leadership to integrate AI capabilities into enterprise technology platforms.
• Develop predictive analytics models that support enterprise decision-making and operational optimization.
• Implement governance frameworks that ensure machine learning models maintain accuracy, fairness, and regulatory compliance.
• Lead research initiatives focused on emerging artificial intelligence technologies and advanced analytics methodologies.
• Oversee the operationalization of data science models within production environments and enterprise platforms.
• Establish data science performance metrics that evaluate model effectiveness and business impact.
• Guide initiatives that improve data infrastructure, data quality standards, and analytics platform performance.
• Mentor and develop high-performing teams of data scientists, machine learning engineers, and research specialists.
• Represent the organization in AI conferences, industry forums, and academic collaborations.
• Present data science strategy insights and innovation initiatives to executive leadership and board stakeholders.
Job Qualifications and Requirements
• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related technical discipline.
• Master’s or PhD in machine learning, artificial intelligence, statistics, or applied mathematics strongly preferred.
• 12–15+ years of progressive experience in data science, machine learning engineering, or advanced analytics leadership.
• Minimum 8–10 years managing large data science or AI research teams.
• Extensive experience developing machine learning models and deploying analytics solutions at enterprise scale.
• Strong expertise in machine learning frameworks such as TensorFlow, PyTorch, or similar AI development platforms.
• Experience working with large-scale data processing technologies, including Spark, Hadoop, or distributed data systems.
• Deep understanding of statistical modeling, predictive analytics, and data-driven decision frameworks.
• Proven ability to lead research and innovation initiatives within data science organizations.
• Experience collaborating with product and engineering teams to integrate AI solutions into enterprise platforms.
Personal Capabilities and Qualifications
• Visionary technical leader with strong expertise in artificial intelligence and machine learning innovation.
• Exceptional analytical and problem-solving capabilities.
• Strong leadership presence capable of guiding large multidisciplinary technical teams.
• Excellent communication skills for translating complex technical concepts into business insights.
• Strategic thinker capable of aligning data science initiatives with business objectives.
• Passion for innovation and advancing the boundaries of artificial intelligence technologies.
• Ability to operate effectively in fast-paced and highly technical environments.
• Collaborative leadership style capable of working across engineering, product, and executive teams.
Strategic Support
The Vice President of Data Science plays a central role in supporting the organization’s long-term innovation strategy.
Strategic contributions include:
• Advancing artificial intelligence capabilities that power enterprise technology platforms.
• Supporting product innovation initiatives through advanced analytics and predictive modeling.
• Strengthening the organization’s leadership in AI research and data science development.
• Enabling data-driven decision-making across enterprise operations.
• Providing executive leadership with insights into emerging trends in artificial intelligence and data science technologies.
Working Conditions
• Executive leadership role within a global artificial intelligence and advanced analytics organization.
• Collaboration with executive leadership, engineering teams, product development groups, and research scientists.
• Fast-paced innovation environment focused on AI development and enterprise analytics solutions.
• Participation in executive strategy meetings, AI research initiatives, and technology leadership forums.
• Occasional travel to global offices, research institutions, and industry conferences.
Job Function
Executive Data Science Leadership / Artificial Intelligence Strategy / Machine Learning Development / Advanced Analytics / AI Research Innovation
Compensation & Benefits
We offer a highly competitive executive compensation package designed to attract exceptional data science leadership talent.
Total Compensation Package: $325,000 – $480,000
Compensation components may include:
• Competitive executive base salary
• Performance-based leadership incentives tied to innovation outcomes
• Long-term equity or executive stock participation programs
• Comprehensive health, dental, and vision coverage
• Executive retirement savings and financial planning programs
• Leadership development and advanced AI research opportunities
• Flexible work arrangements and executive travel benefits
• Paid executive leave and wellness programs
Why Join Us
Our organization is building next-generation artificial intelligence platforms that empower enterprises to unlock the full value of their data. Through advanced machine learning technologies, predictive analytics systems, and scalable data platforms, we help organizations transform complex datasets into powerful insights that drive innovation and growth.
As Vice President of Data Science, you will lead a world-class team of scientists and engineers developing AI solutions that shape the future of enterprise technology. You will work alongside visionary leaders and industry pioneers to build intelligent systems that redefine how organizations leverage data.
This role offers the opportunity to lead cutting-edge innovation within one of the fastest-growing fields in modern technology while advancing your career as a global leader in artificial intelligence and data science.
