Sr. Director of Data Analytics, Data Science & AI
Company websitealoyoga.com (Alo Yoga, opens in new tab)
Base salary $250K to $320K
Employer-published annual base salary, USD. Advertised base range in Beverly Hills, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationBeverly Hills, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
WHY JOIN ALO?
Mindful movement. It’s at the core of why we do what we do at ALO—it’s our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That’s the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life.
OVERVIEW
We are seeking a Senior Director to lead Data Analytics (Digital), Data Science, and Artificial Intelligence, as a unified strategic capability. This role sits at the intersection of business insight, advanced analytics, and applied AI. You will shape how data and intelligence drive decisions, experiences, and operational excellence across the company—especially in marketing and digital and customer engagement.
This leader is both a strategist and a builder: setting vision, developing talent, and ensuring measurable impact, while staying close enough to the work to guide technical direction and architectural choices.
RESPONSIBILITIES
- Set the vision and roadmap for Data Science, AI, and Digital Analytics, aligned to business priorities and growth strategy.
- Lead and scale high-performing teams across data science, applied AI/ML, experimentation, and digital analytics.
- Drive advanced analytics and AI use cases including personalization, forecasting, optimization, experimentation, generative AI, and decision intelligence.
- Own digital analytics strategy—ensuring accurate, trusted measurement across web, mobile, and emerging digital experiences, and translating signals into action.
- Bridge insight to execution by partnering closely with product, marketing, engineering, operations, and executive leadership.
- Evaluate and govern AI platforms and tooling, balancing build vs. buy decisions, cost, scalability, and long-term flexibility.
- Establish responsible AI and data practices, including model governance, experimentation standards, and measurement of business impact.
- Tell compelling data stories—turning complex analyses and models into clear narratives that drive confident decisions at the executive level.
QUALIFICATIONS
- A seasoned leader with deep experience in data science and applied AI, and a strong grasp of modern analytics ecosystems.
- Comfortable operating at multiple altitudes—from board-level strategy to hands-on technical guidance.
- Experienced in product and digital analytics, experimentation frameworks, attribution, and customer behavior analysis.
- Fluent in ML concepts and architectures (predictive models, NLP, recommendation systems, generative AI) and how they create real business value.
- Adept at building teams, culture, and operating models that scale across functions and geographies.
- Pragmatic, impact-driven, and allergic to vanity metrics.
- 12+ years in analytics, data science, or AI, with significant leadership experience.
- Strong foundation in statistics, machine learning, and experimentation.
- Experience in retail, e-commerce, consumer products, or digital platforms.
- Experience with cloud data and AI platforms (AWS, GCP, Azure) and modern analytics stacks.
- Proven track record of driving measurable outcomes through data and AI initiatives.
- Exposure to generative AI at scale and AI-enabled product development.
- Prior ownership of company-wide analytics standards or AI governance.
The base salary range for this position is $250,000-$320,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.
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Source: Alo Yoga on Greenhouse · View original posting (opens in new tab)
This listingSr. Director of Data Analytics, Data Science & AI$250K to $320K
Senior Employment Counsel$225K to $265K
WMS Solutions Architect$220K to $240K
Manager, Marketing Technology$210K to $240K
Manager of Data Engineering$200K to $230K
Director of International CRM$200K to $240K
Lead MarTech Engineer$200K to $240K
Chart as a table
| Role | Published base |
|---|---|
| Sr. Director of Data Analytics, Data Science & AI (this listing) | $250K - $320K |
| Senior Employment Counsel | $225K - $265K |
| WMS Solutions Architect | $220K - $240K |
| Manager, Marketing Technology | $210K - $240K |
| Manager of Data Engineering | $200K - $230K |
| Director of International CRM | $200K - $240K |
| Lead MarTech Engineer | $200K - $240K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-01-29
Where this pay comes from
Location as the employer wrote it: Beverly Hills, California, United States
The base salary range for this position is $250,000-$320,000 per year which represents the current range for the base sa
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
