Technical Product Owner
Apex Systems Inc
Technical Product Owner
Location: Plano, Texas (Hybrid) Length: 12+ Month W2 Contract Hours: M-F 8-5 (1 or 2 days max onsite) Role Overview We are seeking a Technical Product Owner to lead product execution for scrum teams within the data platform pillar. This role serves as the primary interface between stakeholders and development teams. The position requires stakeholder management, the ability to drive clarity from ambiguity, and disciplined execution across complex epics in a cloud-native AWS environment. This role will focus on data platforms and services, including storage, ingest pipelines, and data pipelines. Key Responsibilities- Serve as the primary product liaison to stakeholders, managing ongoing communication across multiple concurrent priorities and initiatives.
- Navigate complex stakeholder conversations to reconcile competing priorities, evolving requirements, and release constraints.
- Proactively identify gaps between documented specifications and requested functionality, and drive alignment before development begins.
- Negotiate release scope with stakeholders, ensuring realistic commitments aligned with engineering capacity and delivery timelines.
- Own the product roadmap and backlog for assigned products, translating high-level epics into clearly defined, executable epics and user stories.
- Lead quarterly planning cycles in collaboration with stakeholders and engineering leadership.
- Partner with technical delivery leads to align scope, conduct release planning, and track execution progress.
- Ensure internal documentation is complete, accurate, and reflects current functionality before code transfer.
- Experience working with global stakeholders, particularly Japanese counterparts.
- Prior development or DevOps experience.
- Experience in connected vehicle, mobility, or telematics platforms.
- Cover Letter and Resume Creation: AI tools may be used to assist in drafting cover letters and resumes, provided that the final documents truthfully reflect the candidate's own experiences, skills, and accomplishments.
- Interview Preparation: Candidates may use AI-powered tools to practice common interview questions or receive feedback on their responses.
- Completing Skills Assessments: Candidates must not use AI tools to complete coding exercises, technical challenges, or any other assessments that evaluate their skills directly.
- Answering Questions: Candidates must not use AI tools to generate answers to interview questions, whether they are technical or behavioral. All responses during an interview must be entirely their own.
- Free catered lunches when working onsite.
- Two fully stocked Nespresso bars.
- No formal dress code.
- Free covered garage parking.
Vacancy posted 4 days ago
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