Sr. Technical Product Owner

Apply now: Sr. Technical Product Owner , location is Hybrid 3 days onsite . The start date is [8/18/25 or 2 weeks from offer for this contract position.

Job Title: Sr. Technical Product Owner
Location-Type: Hybrid - 3 days onsite - Burbank, CA
Start Date Is: 8/18/25 or 2 weeks from offer
Duration: 1 year contract
Compensation Range: $75.00-85.00/hr W2

As part of the Studio Economics transformation, we are evolving how finance, business, and technology collaborate shifting to lean-agile, user-centric small product-oriented delivery teams (PODs) that design and deliver integrated, intelligent, and scalable solutions.

The Technical Product Owner (TPO) plays a critical role in this model by translating the product vision into a clear, feasible, and sustainable technical execution plan.

The TPO partners closely with the Business Product Owner, Designers, Engineers, Platform Architects, and Data teams to ensure that solutions are designed and delivered in alignment with client's modern architecture standards, platform capabilities, and data strategy. This is a hands-on, embedded role within a product delivery pod.

Job Responsibilities / Typical Day in the Role

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 Haves

Technology requirements:

Proven ability to lead the delivery of enterprise-scale platforms or applications, including defining and managing technical backlogs across multiple integrated systems

Strong fluency in modern architectures (e.g. API-first, event-driven, serverless, microservices) and experience working with data pipelines, lakehouses, governed schemas, and platform interfaces

Degree or certifications required:

Degree in Computer Science or related technical discipline required

Years experience:

8 years of experience in software engineering, data architecture, or enterprise systems integration

Minimum of 3 years in a technical product owner, technical lead, or delivery leadership role in an agile environment