ApplyPrincipal Product Manager - Marketing Analytics
Posted about 2 months agoViewed
View full description
💎 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.
Apply