Product Owner, Data Engineering
Beaverton, OR
Applications have closed
Lucid Motors
With extraordinary design, performance, range, convenience, and utility, Lucid Gravity is the future of sustainable mobility, reimagining the luxury electric SUV.We are looking for a Product Owner, Data Engineering who will manage large-scale data operations programs, define milestones and success criteria, allocate resources, and deliver products on time. You have experience understanding technical implementation at the architecture level and propose technical alternatives when necessary.If building large and building fast, working with a very talented team of engineers, and collaborating with the brightest mind in the automotive industry is what you like, Lucid is the best experience.
The Role
- Manage large-scale data operations programs, define milestones and success criteria, allocate resources, and deliver products on time.
- Understand technical implementation at the architecture level and propose technical alternatives when necessary.
- Design metrics, KPIs, reports, dashboards
- Implement Agile project execution with an Agile iterative process.
- Influence technical decisions in working with large, cross-functional teams.
- Perform data analysis using Tableau, Looker, and similar tools.
- Work with various teams on data integration projects, bringing in data from multiple internal and external data sources.
- Constantly communicate our vision, features, priorities, deliverables, and goals to our stakeholders via program documentation, launch announcements, release notes, brown bags, seminars, and user training.
- Track progress, resolve dependencies, evaluate risks and communicate status to management and project stakeholders.
Qualfications
- 2+ years of experience in Program Management on technical cross-functional projects.
- 1+ years of experience in data engineering or web development.
- Practical knowledge of Agile project execution and Agile, iterative process.
- Expert knowledge of Atlassian Jira and Confluence
- Good understanding of data engineering, cloud and web development
- Understanding of Big Data tools, using Hadoop, Kafka, Spark, Presto, Airflow, Elastic Search, Docker, and Kubernetes.
- Technical understanding in large distributed systems, Data Warehousing/Data Lake at scale
- Experience in managing and executing large-scale, complex technical projects and delivering high-quality products.
- Great ability to identify and translate emerging trends and customer needs into workable product proposals.
- Solid technical aptitude and an ability to contribute to technical designs, challenges, and risks.
- Proven strong cross-team and cross-org stakeholder management. Ability to influence, motivate, and align people across a broad variety of job functions through your relationships.
- Metrics-driven: Experience determining effective program KPIs and using them to measure program success and issues.
- Good at facilitating discussions. getting the right people in the room, let conversations run their course while they are productive, move them toward consensus when possible, and make hard decisions or escalate, as required.
Education
- Bachelor's degree in Engineering or Product Management.
- Preferred Master's degree in Engineering or Product Management.
Notice regarding COVID-19 protocols At Lucid, we prioritize the health and wellbeing of our employees, families, and friends above all else. In response to the novel Coronavirus all new Lucid employees, whose job will be based in the United States may or may not be required to provide original documentation confirming status as having received the prescribed inoculation (doses). Vaccination requirements are dependent upon location and position, please refer to the job description for more details. Individuals in positions requiring vaccinations may seek a medical and/or religious exemption from this requirement and may be granted such an accommodation after submitting a formal request to and the subsequent review and approval thereof by our dedicated Covid-19 Response team. To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture Big Data Data analysis DataOps Data Warehousing Distributed Systems Docker Engineering Hadoop Jira Kafka KPIs Kubernetes Looker Spark Tableau
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