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AI Data Product Manager
3 years ago
Description
Playtika Holding Corp. is a leading mobile gaming company and monetization platform with over 35 million monthly active users across a portfolio of games titles. Founded in 2010, Playtika was among the first to offer free-to-play social games on social networks and, shortly after, on mobile platforms. Headquartered in Herzliya, Israel, and guided by a mission to entertain the world through infinite ways to play, Playtika has over 3,700 employees in 19 offices worldwide including Tel-Aviv, London, Berlin, Vienna, Helsinki, Montreal, Chicago, Las Vegas, Santa Monica, Newport Beach, Sydney, Kiev, Bucharest, Minsk, Dnepr, and Vinnitsa.
As AI Data Product Manager at Playtika, you will manage the delivery for all of AI data solutions,
From data exploration and feature generation to deployment and AI monitoring tools
You will work withPlaytika’s professional teams including Architecture, Data Engineers, Data Scientists, BI Engineers, Business Analysts, IT, Security, and management teams.
You will partner with Playtika’s domain experts and top-level AI and business professionals in the gaming and online marketing industries.
Responsibilities
- Building, tracking & communicating project plans, end to end.
- Manage dedicated R&D teams backlog and priorities (Data Engineering)
- Delivering a detailed design for the relevant teams, cross Playtika.
- Translating business requirements into technical actionable stories
- Partner with our architects and R&D to capture, transform and consume data for ML, BA, R&D and management teams.
- Delivery\Solution focal point for AI R&D/Product Managers
Requirements
- 4+ years’ experience in developing, designing, or managing data products
- 2+ years’ experience Product\project\Agile management with a delivery passion
- Strong understanding of the Big Data ecosystem (especially Kafka, Hadoop ecosystem, and Presto) and related technologies
- BSc in Engineering / Computer Science or equivalent - Advantage
- Basic knowledge in SQL or SQL-like data management languages
- Experience with developing large scale distributed systems
- Passion for data engineering automation and efficiency, self-starter, loves challenges, independent, tech-savvy
- Experience with Data science developments – A big advantage
- Knowledge in UI\UX - Advantage
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