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# VP, Data Science with an AI Platform – Boston, MA



Role Overview for VP, Data Science with an AI Platform – Boston, MA
JRG Partners is proud to partner with a trailblazing, venture-backed technology company at the forefront of the artificial intelligence revolution. Based in the vibrant tech hub of Boston, MA, our client has developed a state-of-the-art AI platform that is transforming how industries leverage data to make critical business decisions.
They are seeking a visionary and strategic Vice President of Data Science to lead their brilliant team of data scientists and machine learning engineers. This is a pivotal executive role reporting directly to the Chief Technology Officer, responsible for shaping the company’s AI vision, driving innovation, and ensuring the successful delivery of world-class machine learning solutions on their core platform.
As the VP of Data Science, you will be the intellectual and strategic leader for all data-driven initiatives. You will not only manage and mentor a high-performing team but also set the technical direction for research and development. Your leadership will directly influence product strategy, customer success, and the company’s competitive positioning in the market.
You will be tasked with fostering a culture of curiosity, rigorous experimentation, and continuous learning. The ideal candidate is a seasoned leader with a deep technical background, a proven track record of building and scaling data science teams, and a passion for solving complex problems with elegant, scalable AI solutions. This is a unique opportunity to make a significant impact on a rapidly growing company and to define the future of an industry-leading AI platform.
Key Responsibilities of VP, Data Science with an AI Platform – Boston, MA
Strategic Leadership & Vision
Define and articulate the company’s data science vision, strategy, and roadmap. Align data science objectives with overall business goals, working closely with the executive team to identify new opportunities for growth and innovation.
Team Building & Mentorship
Lead, grow, and mentor a world-class team of data scientists, ML engineers, and researchers. Foster a collaborative, innovative, and inclusive team culture that attracts and retains top-tier talent. Provide career development, coaching, and technical guidance.
Technical & Research Excellence
Steer the research and development of novel algorithms, machine learning models, and statistical techniques. Stay at the forefront of advancements in AI, machine learning, and deep learning, and guide the team in applying cutting-edge research to solve practical business problems.
Product & Platform Integration
Collaborate closely with Product Management, Engineering, and Design teams to translate data science insights and models into tangible product features. Drive the integration of ML capabilities into the core AI platform, ensuring scalability, reliability, and performance.
Operational Execution
Oversee the entire lifecycle of data science projects, from conception and experimentation to deployment and monitoring. Implement best practices for model development, validation, and deployment, including robust MLOps (Machine Learning Operations) frameworks to ensure efficiency and quality.
Cross-Functional Collaboration
Act as the primary data science evangelist across the organization. Work with Sales, Marketing, and Customer Success to articulate the value of the platform’s AI capabilities and to gather feedback for future development.
Stakeholder Communication
Clearly and effectively communicate complex data science concepts, project status, and strategic recommendations to a diverse range of stakeholders, including the executive team, the board of directors, investors, and key clients.
Budget & Resource Management
Develop and manage the data science department’s budget, ensuring optimal allocation of resources, tools, and infrastructure to meet strategic objectives.
Requirements for the VP, Data Science with an AI Platform – Boston, MA
Educational Background
A Ph.D. or M.S. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline is required.
Executive Experience
A minimum of 12-15 years of professional experience in data science or a related field, with at least 7+ years in a senior leadership capacity (e.g., Director, Senior Director, or VP) managing and scaling data science teams.
Technical Proficiency
Deep, hands-on expertise in various machine learning domains, such as natural language processing (NLP), computer vision, recommender systems, time-series analysis, and deep learning. Proven proficiency with programming languages like Python and its data science ecosystem (e.g., NumPy, Pandas, Scikit-learn).
Frameworks & Platforms
Extensive experience with modern ML frameworks (e.g., TensorFlow, PyTorch, Keras) and big data technologies (e.g., Spark, Hadoop). Strong familiarity with cloud computing platforms (AWS, GCP, or Azure) and their associated AI/ML services.
Proven Leadership
Demonstrated success in building, leading, and mentoring high-performing, multi-disciplinary data science teams in a fast-paced, product-driven environment. Experience setting technical vision and driving execution against a strategic roadmap.
Business Acumen
Strong ability to connect data science work directly to business value and product strategy. Experience in a B2B SaaS or platform-based company is highly desirable.
Communication Skills
Exceptional verbal, written, and presentation skills. Capable of conveying complex technical topics to both technical and non-technical audiences with clarity and conviction.
Problem-Solving Mindset
A strategic thinker with a passion for solving ambiguous and challenging problems. A track record of leading teams to deliver innovative solutions that have had a measurable impact on business outcomes.
Benefits & Perks Offered
Our client believes in investing in their people and provides a comprehensive and competitive benefits package to support their employees’ health, well-being, and professional growth. This includes:
Competitive Compensation
A highly competitive base salary, annual performance bonus, and a significant equity package.
Comprehensive Health Coverage
Premium medical, dental, and vision insurance plans for you and your dependents with minimal employee contribution.
Retirement Planning
A 401(k) retirement plan with a generous company match to help you save for the future.
Flexible Time Off
A generous paid time off (PTO) policy and company-paid holidays to encourage a healthy work-life balance.
Professional Development
An annual budget for conferences, workshops, certifications, and other learning opportunities to support your career growth.
Parental Leave
Comprehensive paid parental leave for all new parents.
Modern Workspace
A collaborative and dynamic office environment in the heart of Boston, equipped with the latest technology and amenities.
Additional Perks
Commuter benefits, wellness stipends, regular team-building events, and a fully stocked kitchen with snacks and beverages.
How to Apply
If you are a visionary data science leader ready to take on a career-defining challenge and shape the future of artificial intelligence, we encourage you to apply. JRG Partners is managing this exclusive search. To be considered for this opportunity, please submit your resume and a cover letter detailing your leadership experience and your vision for data science. For more information on our expertise in this domain, please connect with our expert technology and data science recruiters. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.