Product Manager for AI - powered coaching platform transforming gamer experience. Focused on user insights, data - driven decisions, and market opportunities in gaming.
About the role
- Data Product Manager leading enterprise data product development at Tiger Analytics, focusing on analytics solutions and project management for data initiatives.
Responsibilities
- Work directly with client stakeholders to translate business problems into high-level analytics solution designs.
- Develop customer understanding through customer data, contributing to the overall analysis of the consumer path to purchase.
- Develop end-to-end solutions based on an in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably.
- Responsible for managing analytics projects, collaborating with client stakeholders and Tiger’s team situated globally
- End-to-end Data + Analytics delivery execution ownership and optimization of resource assignment, sequencing, and allocation.
- Oversee the design, building, and managing of how business-ready data lives within the Enterprise Data Foundation.
- Drive coordination between Domains, Products and Projects to help drive reuse and reduce redundancy/duplication in the D+A and broader client portfolio.
- Responsible for making presentations to senior management, communicating results to business teams, and developing plans to help operationalize analytic solutions.
- Build data roadmaps to meet hydration targets and support timely delivery for global data initiatives and programs.
- Ensure data cataloguing in the Data Foundation is accessible to business stakeholders.
- Work with program Technical Data Product Managers to ensure expectations from D+A are managed and to eliminate disconnects regarding what can be addressed.
Requirements
- 8–12 years of progressive experience across product management, data analytics, data science, and data management within business-facing environments.
- Minimum 7 years of experience in Product roles or in a Data Product Manager or Senior Business Analyst capacity with ownership of end-to-end data initiatives.
- Proven experience owning the full lifecycle of data products — from ideation, business case development, and roadmap definition to MVP launch, scaling, and continuous optimization.
- Demonstrated experience leading data migration and modernization programs (e.g., legacy to cloud-based architectures).
- Advanced SQL proficiency with strong understanding of data modeling, data architecture, and analytics frameworks.
- Hands-on experience with GCP is preferred.
- Proven ability to translate complex business requirements into structured epics, user stories, and technical documentation that enable efficient cross-functional delivery.
- Experience collaborating with cross-functional teams including Product Owners, Data Engineers, Developers, Testers, and Analytics teams.
- Strong executive presence with the ability to engage VP-level and senior stakeholders, translating business problems into high-level analytics and data solution approaches.
- Demonstrated ability to identify high-value analytics opportunities across core business domains (e.g., marketing, risk, operations) and define measurable paths to value realization.
- Experience driving innovative, business-oriented solutions using advanced analytics, feature engineering, and machine learning techniques.
- Strong people leadership capabilities, with experience building, mentoring, and managing multi-level teams.
- Excellent communication skills, with the ability to simplify complex technical concepts for both data & analytics teams and non-technical business stakeholders.
- Graduate degree in Business Analytics, MBA, or equivalent professional experience.
Benefits
- Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
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