Wet Coast Logistics

Product Owner

Product Owner
Notice info
LocationSan Ramon, CA
Job Typefull time
Salary$170,560-$183,040
On-site
Oil and Gas

About This Job


CLIENT HIGHLIGHT

The Client you will be working for is a Fortune 100 Oil and Gas Company. This opportunity will give you experience in the energy sector in the United States with a company that is a globally recognized leader in energy production and one of the biggest companies in the US.


LOCATION


San Ramon, CA, 94583 OR


Houston, TX 77001


COMPENSATION


$82-88 per hour


SCHEDULE


Hybrid – Mon/Fri Remote, Tues-Thurs in-office


Monday – Friday (40 hours)


CONTRACT

1 year with a high likelihood of extension or conversion to a full-time employee


POSITION OVERVIEW – Product Owner

Our client is seeking a strategic and dynamic Product Owner to guide its Data & Insights product line. This position is perfectly suited for someone with a passion for data, a talent for balancing competing priorities, and a drive to deliver innovative solutions that create a competitive edge. A natural curiosity and a readiness to quickly learn and adapt to emerging technologies are key attributes for success in this role.


RESPONSIBILITIES

- Product Strategy & Vision: Define and communicate product vision and roadmap aligned with business objectives and user needs.

- Backlog Ownership: Manage and prioritize the product backlog, ensuring clarity, alignment, and readiness for development teams.

- Stakeholder Engagement: Collaborate with cross-functional teams including legal, compliance, engineering, and business units to gather requirements and validate solutions.

- Agile Delivery: Facilitate backlog refinement ceremonies, ensure ADO hygiene, and promote shared ownership across teams.

- Documentation: Lead and contribute to the development of product documentation.

- Learning & Development: Stay current on emerging trends and best practices in application integrations, APIs, data products, data ingestion and transformation, and AI.

- Compliance & Governance: Ensure product releases adhere to client's standards and guardrails.

- You’ll work closely with other Law Platform product lines (governance, risk and compliance, matter management, transactions) and report to the Product Manager for Data & Insights.

- Align and Inspire - Proven ability to align diverse perspectives and inspire teams through creativity, positivity, and a customer-first mindset. Encourages and emulates, creative, outside the box thinking to elevate initiatives.

- Build Relationships - Strong relationship-building skills across functions and organizations, with a collaborative and improvement-focused approach.

- Digital Acumen - Demonstrated digital acumen in identifying data-driven opportunities and guiding technology decisions aligned with business goals. Awareness of data analytics, data science and AI capabilities to articulate potential opportunities.

- Deliver Results - Translates business strategy to action and comfortably navigates through ambiguity and competing priorities to deliver business value. Proven track record of delivering results leveraging data or data related initiatives. Strong Agile experience with rapid decision making and iterative product development.


REQUIRED QUALIFICATIONS/SKILLS:

- Product Management Expertise: Deep understanding of product lifecycle, value frameworks, and agile delivery models.

- Strategic Thinking: Ability to align product initiatives with broader business goals and translate strategy into actionable plans.

- Cross-Functional Collaboration: Proven experience working with diverse teams across legal, technical, and operational domains.

- Documentation: Skilled in drafting and reviewing product documentation.

- Agile & ADO Proficiency: Familiarity with Azure DevOps, Scrum, Kanban, and PI planning practices.

- Communication & Facilitation: Strong written and verbal communication skills, with the ability to lead discussions and workshops.

- Technical Acumen: Proven ability to stay current with and apply advancements in application integrations, APIs, data products, data ingestion and transformation, and AI technologies to drive innovation and improve data solutions.

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