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SVP, Data & AI

Job in North, Orangeburg County, South Carolina, 29112, USA
Listing for: North American Bancard, Llc
Full Time position
Listed on 2026-02-20
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Science Manager, Data Scientist
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: North

Overview

North
- United States
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

Responsibilities
  • 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

Additional Information

  • Direct Reports:
    Yes
  • Travel Requirements: 10 - 20%
What we offer

We offer a comprehensive benefits package that enables our teams to live a life well lived, both personally and professionally. Some of our perks include:

  • Medical, Dental, & Vision Coverage
  • Flexible Paid Time Off
  • 401(k) + Match
  • Mental Health Support & Well-Being Program
  • Paid Maternity & Paternity…
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