Job Title: Vice President, Data and AI
Location: Waltham, MA (Hybrid/Flexible)
Reports to: Chief Transformation Officer
Position Overview
We are seeking a visionary Vice President of Data and AI to lead our global strategy for data and artificial intelligence. This executive will be responsible for shaping the future of AI-powered innovation, driving product development, and leveraging our data ecosystem to create intelligent, automated experiences for customers. The VP will collaborate closely with engineering, product, and go-to-market leaders to deliver scalable, enterprise-grade AI solutions that differentiate our offerings in the market.
Key Responsibilities
Strategy & Leadership
- Define and execute the organization’s Data and AI strategy, aligned with overall business goals.
- Lead global teams of data scientists, AI/ML engineers, and platform architects.
- Champion responsible and ethical AI practices across the enterprise.
Product Innovation
- Drive the integration of advanced AI/ML models into core platforms and services.
- Partner with product management to identify and deliver AI-driven features that enhance user experience and business outcomes.
Data Platform Excellence
- Oversee the design and evolution of the organization’s data architecture, ensuring scalability, performance, and security.
- Ensure effective data governance, privacy, and compliance across all regions and business units.
Cross-Functional Collaboration
- Work with technology and product leaders to embed AI into all layers of the platform and services.
- Collaborate with sales, marketing, and customer success teams to communicate AI differentiation to clients and stakeholders.
Thought Leadership
- Represent the organization externally at conferences, analyst briefings, and customer events as a thought leader in AI/ML.
- Stay ahead of emerging technologies and bring innovative solutions into the strategic roadmap.
Qualifications
- 10+ years of experience in data, analytics, and AI/ML leadership roles, with at least 7 years at the executive level.
- Proven success building and scaling AI-driven platforms or products in SaaS, cloud, or enterprise software environments.
- Strong expertise in machine learning, generative AI, large-scale data platforms, and applied AI in enterprise use cases.
- Deep understanding of cloud-native architectures, observability, and security is a strong plus.
- Exceptional leadership, communication, and strategic influencing skills.
- Advanced degree in Computer Science, Data Science, AI/ML, or a related field preferred.
Why Join Us
This is a unique opportunity to shape the future of AI-driven innovation and data strategy within a forward-thinking organization. We offer a culture of continuous learning, collaboration, and impact—where your leadership will directly influence the next generation of intelligent enterprise solutions.
