Director, Customer Intelligence (Data Science & Machine Learning)

Director Of Customer Intelligence

As the Director Of The Customer Intelligence (Data Science / Machine Learning Platform team), you'll lead a combined DS / ML group that builds, deploys, and operates production ML centered around deploying Customer Intelligence across multiple domains within Fanatics Betting & Gaming. You'll set the multi-year strategy for applied science and platform capabilities, foster a culture of psychological safety and continuous learning, and drive measurable business outcomes through experimentation, rigorous analytics, and reliable, cost-efficient ML systems. As the leader of a growing cross-functional team, you will have significant room to explore and influence the future trajectory of numerous FBG and cross-Fanatics initiatives and peer teams, where effective Customer Intelligence applied through the right mechanisms, has the potential to be a game-changing competitive differentiator to supercharge FBG product offerings that delight and engage our fans, optimize marketing effectiveness, and bolster core unit economics for the business.

Responsibilities

• Own strategy & portfolio. Define multiyear DS / ML strategy and prioritize a cross-team roadmap supporting a range of projects across personalization, marketing, and trading / risk. Communicate clear goals and success metrics to executives and partners.
• Lead and set standards. Build and scale a high-performing small-but-mighty team of cross-functional experts. Establish succession plans, standards of excellence, and a feedback-rich, inclusive culture; set the bar for hiring, performance, and career development.
• Deliver production ML. Ship reliable real-time and batch models (feature stores, offline / online training, CI / CD for ML, model registry, canary / shadow deploys, rollback). Establish model governance, documentation, and observability (data drift, bias / fairness, performance SLOs).
• Operational excellence. Stand up on-call practices, incident response, post-mortems, and SLOs for data and model services. Drive cost efficiency (rightsizing compute, caching, autoscaling) while protecting customer experience.
• Experimentation & causal inference. Scale an experimentation program (A / B, multi-armed bandits, CUPED / causal methods) with clear guardrails, review, and instrumentation to attribute impact through causal inference techniques.
• Blend scientific and technical vision. Set credible and inspiring long-term research and scientific direction for data scientists, while maintaining the connection "from research lab to factory floor" between science and engineering.
• Stakeholder leadership. Align with Product, Risk / Trading, Marketing, and Compliance; present strategy, risks, and results to execs in clear narratives and dashboards.

Skills & Qualifications

Basic

Preferred

The expected salary range for this role is $271,000 - $357,000 per year (actual salary will be determined in part by a successful candidate's geographic location). In addition to base salary, bonus, and equity, full-time employees are eligible for Medical, Dental, Vision, 401K, paid time off, and other benefits like GymPass, Pet Insurance, Family Care Benefits, and more. We'll also give you $700 to set up your home office!