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Principal Product Manager - Marketing Analytics

Posted about 2 months agoViewed

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💎 Seniority level: Principal, 7+ years

📍 Location: Canada

🔍 Industry: Gaming

🏢 Company: Fortis Games👥 251-500PC GamesVideo GamesGaming

⏳ Experience: 7+ years

🪄 Skills: AWSProject ManagementGCPHadoopMachine LearningProduct ManagementSnowflakeSparkData visualizationData analyticsData management

Requirements:
  • 7+ years of technical product management experience, with at least 4 years focused on technical or data-driven products.
  • 3+ years experience as product lead for large-scoped products/teams.
  • Proven track record in managing the lifecycle of data or analytics products, including successful deployment of scalable data solutions.
  • Deep understanding of game publishing and marketing analytics processes and technologies.
  • Familiarity with cloud platforms (AWS, GCP, Azure), big data processing tools (Spark, Hadoop), data warehousing (e.g., Snowflake, Redshift), and BI tools (Tableau, Power BI).
  • Experience working in or alongside data science teams, with a solid understanding of machine learning concepts and predictive analytics workflows.
  • Excellent communication skills, with the ability to articulate complex technical ideas to non-technical audiences.
Responsibilities:
  • Develop and own the product strategy and roadmap for Fortis’ publishing solutions, including user acquisition, marketing analytics, CRM, app store optimization, market research, and ad monetization.
  • Own the roadmap for Fortis’ data platform, enabling all data-driven use cases across the company.
  • Act as the technology and data platform partner to publishing and marketing teams, understanding workflows and building products that meet their technology needs.
  • Work with cross-functional teams, including engineering, data science, and analytics, to gather requirements and translate them into actionable product specifications.
  • Collaborate with engineering teams to design, develop, and launch scalable data products, ensuring high performance, usability, and accuracy.
  • Stay ahead of industry trends in data analytics, predictive modeling, and data technologies to drive innovation.
  • Ensure data products enhance player experiences and improve business practices through user feedback.
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