Enterprise Technology Company • San Francisco, CA • Full-Time · Executive Level

Chief Data and AI Officer

Drive the overarching intelligence strategy, AI governance framework, and next-generation product roadmap for Enterprise Technology Company.

SALARY RANGE $400K - $550K
EXPERIENCE 15+ Years
DEPARTMENT C-Suite / Tech
REPORTS TO Chief Executive Officer

About the Role

As the Chief Data and AI Officer at Enterprise Technology Company, you will join our leadership team at a historic inflection point. We believe AI is not simply a tool to boost marginal productivity, but the core engine of our next-generation operational architecture.

You will work directly with our executive leadership team to evaluate technical feasibility, close accountability gaps, and systematically scale AI use inside the organization.

Key Responsibilities

  • Define, execute, and monitor the global enterprise AI strategy across all Enterprise Technology Company product divisions.
  • Establish and enforce a rigorous AI Governance Framework addressing data privacy, compliance, and ethical safety models.
  • Lead and scale a cross-functional organization of data scientists, machine learning engineers, and software architects.
  • Evaluate and manage multi-million dollar vendor contracts and infrastructure partners (compute, modeling, and vector databases).
  • Deliver quarterly AI readiness, strategic ROI, and technological risk briefs directly to the Board of Directors.
  • Mitigate 'shadow AI' risks by deploying internal approved tooling networks and technical security guardrails.
  • Collaborate with Chief Information Security Officer (CISO) on data taxonomy pipeline security.

Qualifications

Required Qualifications

  • 15+ years of software engineering or enterprise technology experience.
  • 8+ years of direct technical leadership specifically in ML, NLP, or AI systems.
  • PhD or Master's degree in Computer Science, AI, Mathematics, or closely related field.
  • Proven track record delivering machine learning products at global production scale.
  • Demonstrated expert-level familiarity with LLMs, prompt engineering paradigms, and RAG pipelines.
  • Strong commercial sense with historical direct accountability for technological project ROI.

Preferred Qualifications

  • Prior C-level executive role or equivalent Board Advisory level experience.
  • Extensive publication records at top-tier machine learning conferences (NeurIPS, ICML, CVPR).
  • Deep connections within the global academic and open-source AI community ecosystems.
  • Active advisory status or membership on national or regulatory ethical AI frameworks.
  • Familiarity with compliance standards in regulated finance, medical, or federal frameworks.

What We Offer

Competitive Compensation

Competitive Compensation

Top-of-market executive cash salary, performance bonuses, and fully transparent packages.

Equity Package

Equity Package

Generous early/growth-stage executive option pool shares reflecting your core C-suite impact.

Health & Wellness

Health & Wellness

Premium platinum healthcare, fully integrated dental, vision, mental health budgets, and on-demand care.

Learning Budget

Learning Budget

Uncapped personal research and learning allowances, international conference travel, and book allowances.

Flexible Work

Flexible Work

Highly autonomous hybrid setup with options for full remote block weeks during key project sprints.

Executive Coaching

Executive Coaching

Access to private elite coaching partners, leadership coaches, and personal brand advisory support.