About the Role
The Sr Vice President, Data & AI provides the strategic and technical leadership for the company's advanced data science and artificial intelligence initiatives. This is a "build" role with a forward-looking mandate to create new value by scaling and automating intelligence, as distinct from a traditional data science maintenance function. The position is accountable for the AI-enabled acceleration of engineering and business processes, with a specific focus on new capabilities like Semantic Search, Agentic Engineering, and AI-driven CI/CD pipelines. This role requires a proven leader with deep technical expertise, a track record of overseeing complex technical execution, and the ability to define strategy with engineering partners.
What you’ll be doing:
- AI Strategy & Vision: Develop and own the forward-looking roadmap for AI, advanced data science, and predictive modeling. Identify and prioritize opportunities where AI can create new value and fundamentally accelerate business processes.
- Technical Execution & Implementation: Lead the design, development, and implementation of cutting-edge AI solutions. This includes a direct focus on:
- Semantic Search: To unlock and operationalize our enterprise knowledge.
- Agentic Engineering: To create autonomous agents that automate complex business and technical workflows.
- AI-Driven CI/CD: To revolutionize our engineering pipeline, automating testing, deployment, and operations.
- Stakeholder Communication & Partnership: Act as the primary AI evangelist and partner to C-suite executives and senior business leaders. Brilliantly communicate complex technical strategies, execution roadmaps, and business impact to both technical and non-technical audiences.
- Engineering Alignment: Partner deeply with Engineering VPs and architects of data and software products to co-author strategy, oversee technical execution, and ensure that all AI/ML solutions are scalable, secure, and seamlessly integrated into our core platforms.
- Team Leadership: Lead, mentor, and grow a world-class team of data scientists, data engineers and machine learning engineers. Foster a culture of innovation, rapid iteration, and measurable results.
- Model & Platform Governance: Oversee the full lifecycle of our predictive models and AI systems, from conception and training to deployment, monitoring, and continuous improvement.
What we need from you:
- Bachelor's Degree in Computer Science, Statistics, AI, or a related quantitative field.
- 10+ years of experience in data science, machine learning, AI or data engineering.
- 5+ years of senior leadership experience, managing high-performance teams of data scientists, ML engineers, data engineers, or AI researchers.
- A proven track record of shipping and scaling complex AI, ML, and predictive modeling solutions from concept to production.
- Deep expertise in modern AI/ML development, including a strong understanding of LLMs, predictive analytics, ML Ops, and data infrastructure.
- Deep understanding of big data solutions, policies, procedures and standards.
- Demonstrated ability to partner with engineering leadership on joint strategy and execution and hold technical teams accountable for results.
- Exceptional communication and stakeholder management skills, with the ability to influence and educate at all levels, including the C-suite.
We'd prefer:
- Master's Degree or PhD in a relevant field.
- Direct, hands-on experience implementing solutions with Semantic Search, Agentic AI, or similar advanced concepts.
- Experience in developing and deploying AI-driven CI/CD pipelines.
- Strong background in both business-facing data science (predictive analytics) and engineering-facing AI (process automation).
- A portfolio of publications, patents, or conference presentations in the AI/ML space.