Head of Data & Analytics Product & AI Strategy

Cedar Cares, Inc

Chicago (IL)

On-site

USD 234,000 - 303,000

Full time

14 days+
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Benefits offered by this job

Fair and competitive pay
Generous paid time off
Health, dental and vision benefits
401(k) match
Tuition assistance
Employee stock purchase plan
On-site gyms
Parental leave

Job summary

Cboe Global Markets is seeking a Head of Data & Analytics Product Development to identify, develop, and monetize data products built from Cboe's proprietary data and analytics assets. Reporting to the Data Product Strategy team, this role turns data and research into product concepts that shape the roadmap and drive commercial value.

The role acts as a player/coach, leading a small team and collaborating with technology, analytics, and product teams to deliver data products and AI-enabled

Qualifications

  • 10+ years in data science, analytics, or related field in financial services or data-intensive business.
  • Experience leading analytics teams and translating research into product outcomes.
  • Strong understanding of market data, exchange ecosystems, or financial data products.

Responsibilities

  • Lead data science and analytics team to identify new datasets and monetizable concepts.
  • Translate research into technical requirements for engineering and product roadmaps.
  • Define AI-enabled features and a commercial roadmap for analytics offerings.
  • Partner with product, tech, and analytics teams to ensure successful delivery and post-launch analysis.

Skills

Data science
Team leadership
Financial data
AI/ML
Product collaboration
Communication

Job description

Cboe Global Markets is seeking a Head of Data & Analytics Product Development to identify, develop, and monetize data products built from Cboe's proprietary data and analytics assets. Reporting to the Data Product Strategy team, this role turns data and research into product concepts that shape the roadmap and drive commercial value.

The role acts as a player/coach, leading a small team and collaborating with technology, analytics, and product teams to deliver data products and AI-enabled

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