Hybrid Director of Data Science and AI Innovation

Posted 2 weeks ago

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About the role

  • Strategic Leadership
  • Collaborate with the CTO and senior leadership to scope, prioritize, and deliver AI and data science innovation projects aligned to business and product strategy.
  • Define and execute our AI strategy, transforming complex business challenges into data science-driven solutions that evolve from prototypes into scalable, production-grade AI services.
  • Modernize data infrastructure and deploy impactful AI capabilities including generative AI, agentic AI, and deep learning. Each tightly aligned with measurable business outcomes.
  • Own the end-to-end lifecycle of AI initiatives from greenfield concept through prototyping, experimentation, and implementation into successful market-ready solutions.
  • Rapidly evaluate new AI/ML techniques, architectures, and technologies for practical application.
  • Champion responsible AI practices, including transparency, bias mitigation, and model governance.
  • Lead and mentor a small founding team, setting the tone for a culture of innovation, experimentation, and rapid iteration.
  • Establish technical best practices in experimentation, data pipelines, model development, and deployment, building the foundation for future growth.
  • Foster organizational best practices by bridging data science, engineering, and product teams to embed AI across business functions, ensuring alignment through transparent communication and cross-functional collaboration.
  • Inspire and develop future team members as the group expands.
  • Partner with product managers to shape AI product strategies and make build-vs-buy decisions.
  • Provide clear communication and insights to senior executives and stakeholders.
  • Represent the AI/Data Science team in strategic forums, highlighting impact and progress.

Requirements

  • Experience 12+ years in technology roles with at least 7+ years focused on data science/AI.
  • 5+ years in leadership roles managing high-performing data science or AI teams.
  • Proven track record of delivering greenfield AI/ML solutions into production environments.
  • Experience in rapid prototyping, experimental design, and scaling AI systems.
  • Deep knowledge of machine learning, natural language processing, generative AI, and modern data/ML architectures.
  • Strong grounding in software engineering practices, data pipelines, and MLOps.
  • Hands-on ability to contribute to early prototypes alongside a small team.
  • Excellent communication skills with the ability to explain AI concepts to both technical and non-technical audiences.
  • Demonstrated ability to lead in ambiguous, fast-paced, and experimental environments.
  • Strong experience balancing near-term delivery with long-term technical strategy.
  • Familiarity with lean product development and design thinking.
  • Experience working in startup, innovation lab, or 0→1 product environments.

Benefits

  • Comprehensive, multi-carrier health plan benefits
  • Disability insurance
  • Dependent care and commuter spending accounts
  • Life and accident insurance
  • Retirement benefits (salary investment plan/employer stock purchase plan)
  • Modern family benefits, including adoption and surrogacy

Job title

Director of Data Science and AI Innovation

Job type

Experience level

Lead

Salary

$133,400 - $247,800 per year

Degree requirement

Bachelor's Degree

Location requirements

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