Associate Business Consultant, Life Sciences Content
Veeva Systems
Manager, Content Optimization
Warner Bros. Discovery
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $59,500 - $110,500 per year
Job Level
Mid-LevelSenior
Tech Stack
SQLTableau
About the role
- Own the ingestion, QA, and maintenance of RSS feeds, APIs, and external sources to ensure relevant, accurate, and timely sports news flows into the app
- Partner with video ingestion providers to manage highlight and clip pipelines, ensuring high-quality, rights-approved video content lands in the right streams
- Ensure ingestion of scores and stats working properly across leagues and teams
- Select, evaluate, and integrate new external content sources (sites, tweets, league feeds, blogs) to broaden fan engagement
- Partner with Product to send B/R content to external partners like Apple News
- Collaborate with data science/AI teams to design and refine recommendation models and ranking algorithms
- Define business rules to balance algorithmic personalization with editorial priorities
- Monitor algorithm output and ensure the right content mix is reaching the right fans at the right time
- Manage and optimize automated push alerts based on personalized rules
- Partner with programming and sports leads to shape the narrative of feeds and ensure feeds update in real-time during live events
- Create workflows for combining automated feeds + human judgment for optimal fan experience
- Collaborate with Analytics to track performance metrics and run experiments (A/B tests) to optimize feed engagement
- Partner with product managers to evaluate and integrate new automation tools or personalization features
Requirements
- 5+ years of experience in sports media, programming, or content operations
- Hands-on familiarity with RSS feeds, APIs, CMS tools, and content ingestion systems
- Strong analytical skills and experience working with data-driven personalization
- Bonus: SQL, Looker, Tableau
- Understanding of recommendation systems, personalization algorithms, or ML models (collaborative role, not building models directly)
- Comfortable working at the intersection of programming, product, data science, and engineering
- Passionate about sports and how fans consume content across formats
Benefits
- health insurance coverage
- an employee wellness program
- life and disability insurance
- a retirement savings plan
- paid holidays and sick time and vacation
- annual bonuses, short- and long-term incentives, and program-specific awards
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
RSS feedsAPIscontent ingestion systemsSQLLookerTableaurecommendation systemspersonalization algorithmsdata-driven personalizationA/B testing
Soft skills
analytical skillscollaborationcommunicationproblem-solvingcreativityadaptabilityteamworkproject managementstrategic thinkingpassion for sports
