Translate Product Vision into Technical Execution
- Partner with the Business Product Owner, designers, and workstream leads to refine the product strategy into an executable technical roadmap.
- Decompose features into clear technical user stories and enablers aligned to agile sprint planning.
- Drive early engagement with platform, security, and data architects to define technical direction and future-proof designs.
- Own and Prioritize the Technical Backlog
- Maintain a robust technical backlog including APIs, system integrations, canonical data model extensions, and non-functional enhancements.
- Drive balance between new feature delivery, technical debt management, and system reliability improvements.
- Collaborate with engineering to define clear, testable acceptance criteria that drive high-quality, secure, and scalable outcomes.
- Enable Data Stewardship and Integration Integrity
- Ensure technical stories and designs account for end-to-end data handling—from system integration and validation through persistence in governed data stores to downstream application use—reinforcing data integrity, lineage, and alignment with enterprise data standards.
- Partner with platform teams and data engineers to align with shared schemas, governed pipelines, and enterprise data lake practices.
- Advocate for data product thinking—ensuring clarity, completeness, and traceability of data used across Studio Economics systems.
- Manage Dependencies and Risks
- Track upstream/downstream dependencies across systems, domains, and platforms (e.g., shared services, source systems, content planning, rights management).
- Surface architectural or integration risks early and align mitigation strategies with relevant platform and domain leads.
- Facilitate coordination across pods and platform teams for shared releases or data-sharing agreements.
- Lead Technical Delivery and Decision-Making
- Navigate trade-offs in scope, architecture, and performance to meet product goals while maintaining long-term system integrity.
- Support developers in evaluating and implementing modern practices such as CI/CD, test automation, observability, and fault tolerance.
- Maintain a record of architectural decisions and rationale to inform future development and reduce rework.
- Foster Engineering Excellence and Continuous Improvement
- Support technical discovery and spikes for new features or platform capabilities.
- Champion automation, testability, and performance tuning to reduce delivery waste and operational overhead.
- Cultivate a culture of technical curiosity, quality, and iterative learning within the pod.
Must Have Skills / Requirements
- Experience in software engineering and enterprise systems integration, with a minimum of 3 years in a technical product owner, technical lead, or delivery leadership role in an agile environment
- 8+ years of experience.
- Proven ability to lead the delivery of enterprise-scale platforms or applications, including defining and managing technical backlogs across multiple integrated systems
- 8+ years of experience.
- Strong fluency in modern architectures (e.g. API-first, event-driven, serverless, microservices) and experience working with data pipelines, data architecture, governed schemas, and platform interfaces