Product Manager – Fan Data & Ticketing Platform

majorleaguebaseball

New York (NY)

On-site

USD 110,000 - 135,000

Full time

3 days ago
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Benefits offered by this job

Competitive Benefits Package
401K Contribution
Paid Time Off
Free Tickets to Games
MLB.TV access
Store discounts
EAP
Training & Development
Tuition Reimbursement
Life Insurance
Pet Insurance

Job summary

Major League Baseball seeks a Product Manager, Fan Data in the Fan Data Platform group to enhance the central data platform for MLB fan data, enabling use cases across digital and physical touchpoints. The role emphasizes ticketing data, data quality, and cross-functional collaboration with engineering, analytics, and business teams.

The candidate will translate business needs into clear product requirements, own the product roadmap, and drive releases while staying attuned to industry trends

Qualifications

  • 2+ years of product management experience in data platforms.
  • Experience translating business and technical requirements into clear product specs.
  • Strong communication and collaboration across diverse stakeholders.

Responsibilities

  • Manage product features and initiatives related to ticketing data in MLB's Fan Data Platform.
  • Build roadmaps and gain consensus with key stakeholders across the industry.
  • Translate requirements into user stories and acceptance criteria.
  • Lead planning, development, testing, release, and rollout with engineering and QA.
  • Maintain data quality and governance across platforms.
  • Foster relationships across the Baseball industry and stay aware of trends.

Skills

Product management
Data platforms
SQL
Python/R
Agile methodologies
Stakeholder management
Communication
Problem solving

Education

B.S./B.A. in relevant field

Tools

SQL
Python
R

Job description

Major League Baseball seeks a Product Manager, Fan Data in the Fan Data Platform group to enhance the central data platform for MLB fan data, enabling use cases across digital and physical touchpoints. The role emphasizes ticketing data, data quality, and cross-functional collaboration with engineering, analytics, and business teams.

The candidate will translate business needs into clear product requirements, own the product roadmap, and drive releases while staying attuned to industry trends

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