FairSquare

FairSquare

Chief Information & AI Officer

San Diego, CA · Exec · Full-time

Sponsorship not specified$290k-$375kDetected 35 days ago
Cloud PlatformsMachine LearningData ScienceLLMsComplianceProcurementLeadershipCommunication

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 6 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • This is a builder's seat, not a caretaker's.

Responsibilities

  • Stand up and lead an AI Center of Excellence: the central hub that sets standards, shared tooling and playbooks for AI leads embedded across the business - and that spreads what works instead of letting it stay in one team.
  • Build the governance that makes speed defensible - model risk management, data protection, quality assurance, fair-lending and regulatory compliance, and explainability and audit standards for AI output.
  • Own system infrastructure end to end: functionality, resilience, security, and the platforms our AI work depends on.
  • Coach, develop and retain a distributed team of software, data science, AI and IT professionals - keeping real development plans in place for your leaders and yourself, and working with HR on the AI fluency, reskilling and change management that enterprise AI adoption genuinely requires.
  • Lead in line with our policies and applicable law: hiring and training, planning and directing work, and developing and rewarding performance.

Requirements

  • At least 10 years in technology roles, including hands-on exposure to AI/ML or data science, and at least 5 years leading people.
  • A track record of owning budgets and business planning at scale - and of delivering what you committed to, on the date you committed to it.
  • Strategic range - the ability to set a direction across both the technology and the AI domains, then execute it: consulting widely before you decide, and moving with real urgency once you have.
  • Deep technical knowledge of cloud platforms, mobile applications and generative AI, and a clear sense of how they apply to financial services and lending.
  • Real experience with AI governance, model risk management and regulatory compliance - including fair-lending regulation (for example ECOA / Regulation B) and data privacy.
  • Leadership and organizational ability across a distributed, cross-functional operating model, with a record of growing people and not only shipping projects - the leaders you have developed are the evidence.

Nice to have

  • Full-time, Executive
  • Reports to the President Every lender in the country can buy the same AI models on the same afternoon.
  • Almost none of them have worked out how to put those models to work in a business where a wrong answer is a regulatory event - and, for the owner on the other end, a payroll that does not get made.
  • That is the job.
  • A bachelor's degree in computer science, engineering, data science or a related field
  • a master's or PhD in AI/ML is preferred.

Compensation

  • $290k-$375k

Benefits

  • Find and deploy the technologies - including AI and machine learning - that create genuine competitive advantage in fintech, and say no to the ones that do not.
  • Position eligible for additional incentives including bonus, equity, 401(k) match, health and welfare benefits, amazing culture, growth opportunity and more.

Company info

  • owning the technology and AI budget, aligning investment with our vision and our stakeholders' needs, sequencing AI use cases against a risk-tiered framework, and uniting software engineering, data science, AI and IT into one team that can actually execute against the strategy you set.
  • You will also lead it the way we expect every leader at FairSquare to lead - commitments owned and delivered on time, problems surfaced before they become surprises, disagreement voiced at the table rather than after the meeting, and full commitment carried forward once a decision is made.
  • Set the technology and AI strategy for the enterprise, and keep it tied to our Key Goals and business outcomes rather than to tooling.
  • Curiosity about what is new, discipline about what is worth it.
  • Prioritize and sequence AI use cases enterprise-wide against a risk-tiered framework, distinguishing what can be automated outright from what requires human oversight or human judgment alone - and deciding in the customer's favor when the trade-off is close.
  • Define and report the measures that matter - adoption, accuracy, override and correction rates, cycle-time impact and return on investment - and carry that story, good news and bad, to the President and the Board.
  • Partner across every function to put technology and AI to profitable use: treat internal colleagues as customers, go to the person rather than around them, name the friction you find in a process instead of quietly working around it, and use what you hear back to adjust course.
  • What You Bring A bachelor's degree in computer science, engineering, data science or a related field; a master's or PhD in AI/ML is preferred.

Equal opportunity

  • San Diego, CA; Atlanta, GA, or Orlando, FL.
  • FairSquare is an equal opportunity employer.
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This listing is sourced directly from FairSquare's careers page and normalized into a canonical job model.