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Product Owner - Project

Jobtome

We are looking for a remote, full-time Product Owner with 3–5 years of experience working closely with business stakeholders, engineering teams, and product design. In this role, you will bridge business needs and technical execution, translating user, data, and operational requirements into scalable product features and functional solutions.


This project has a 3-6 month duration with a possibility for long-term engagement


As the Product Owner, you will work closely with cross-functional teams to define feature requirements, refine user stories, and collaborate on mockups, layouts, and overall product workflows. You will help guide frontend feature development while maintaining a strong understanding of backend processes and data flows to ensure solutions are technically feasible and aligned with business goal

s.
The ideal candidate is business-minded but technically proficient, someone who understands what users need, can clearly communicate requirements to engineering teams, and can contribute to feature planning beyond just UI-focused improvements. You should be comfortable partnering with engineering to refine product designs, support implementation discussions, and ensure features are built with both user experience and technical functionality in mi

nd.Our client is a leading energy technology company focused on digitizing f

ueloperations through a single, real-time platform. Their software connects people, equipment, and facilities to provide enterprise-wide visibility and data-driven insights that fuel asset optimization, improve operational efficiency, and help organizations manage risk, maintenance, and fuel logistics more effective

ly.
Responsibili

  • tiesAct as the primary point of contact between business stakeholders, product teams, and the Data Operations / Engineering team responsible for building and maintaining an enterprise data platf
  • orm.Define, refine, and prioritize requirements for a data platform that supports the acquisition, transformation, validation, storage, and distribution of observational, reference, and master d
  • ata.Translate complex business and operational needs into clear technical requirements, user stories, acceptance criteria, process flows, and implementation-ready documentat
  • ion.Prioritize the data platform and integration roadmap against business goals, technical dependencies, operational needs, and competing stakeholder priorit
  • ies.Partner with engineering teams to define scalable approaches for data ingestion, data quality, data normalization, schema design, and integration workfl
  • ows.Coordinate with product managers and engineering teams to drive adoption of the data platform as a trusted source of truth for business-critical d
  • ata.Support the scoping, build, QA, and release phases for platform features, data integrations, and backend workflow improveme
  • nts.Develop and oversee QA protocols to ensure data accuracy, completeness, consistency, and usability before rele
  • ase.Leverage AI and other productivity tools to help draft cohesive technical requirements, test scenarios, acceptance criteria, and implementation documentat
  • ion.Continuously refine data platform workflows to improve reliability, reduce implementation time, and support scalable onboarding of new data sour
  • ces.Maintain a strong understanding of backend data flows while collaborating with product design and frontend teams when platform capabilities surface in user-facing workfl

ows.
Required Exper

  • ienceExcellent English communication s
  • kills3–5+ years of professional experience in a Product Owner, Technical Product Manager, Business Analyst, or similar role within an Agile enviro
  • nmentExperience working with engineering teams to define and deliver backend systems, data platforms, integrations, APIs, or workflow autom
  • ation3–5+ years of professional experience with cloud-native architectures, with a strong preference fo
  • r AWSStrong understanding of common data pipelines, data platforms, data integration patterns, and data lifecycle con
  • ceptsAbility to speak data with technical peers, including comfort discussing SQL, data schemas, data design, system design, data quality, and technical trad
  • eoffsProven ability to write clear, structured, implementation-ready requirements, user stories, acceptance criteria, and QA scenarios for technical
  • teamsTrack record of successfully managing projects involving complex data models, large datasets, data pipelines, and collaboration with engineers or data specia
  • listsDemonstrated ability to manage multiple high-priority projects simultaneously without losing sight of details during implementation a
  • nd QAExperience navigating the needs of commercial, operational, product, and engineering stakeholders to determine the best path fo
  • rwardProficiency in Jira, Aha, Azure DevOps, or similar tools for backlog management, sprint planning, and delivery tra
  • ckingProven delivery experience in a fast-paced, dynamic enviro
  • nmentTrustworthy, self-driven, team-oriented, transparent, and comfortable owning outcomes from discovery through re

lease
Preferred Expe

  • rienceExperience managing or writing technical requirements for data systems, data platforms, data ingestion pipelines, data warehouses, data lakes, or enterprise integration plat
  • forms.Experience with systems that ingest large volumes of small observational records, such as sensor readings, IoT events, telemetry, sales transactions, operational logs, usage events, financial transactions, or other high-frequency data i
  • nputs.Familiarity with data ingestion concepts such as batch processing, streaming, event-driven architecture, APIs, file-based ingestion, ETL/ELT, data validation, deduplication, normalization, and schema evol
  • ution.Experience defining requirements for data quality rules, exception handling, reconciliation workflows, monitoring, alerting, and operational support proc
  • esses.Experience supporting platform products, internal tools, enterprise systems, or shared services used by multiple product
  • teams.Prior experience in energy, logistics, transportation, industrial operations, fuel management, IoT, compliance, or other operationally complex indus
  • tries.Experience collaborating with data engineers, software engineers, architects, QA analysts, and business stakeholders to deliver technically complex capabil

ities.
About Ve

lozientWe are a privately held, nearshore software development company providing outsourced development resources to North American companies. Our mission is to offer development talent who enjoy taking on challenging work, want to grow their skills and experiences building software, and excel in a fast-paced, dynamic team environment. We are focused on providing world-class remote resources to work as valued client team members. If this type of opportunity excites you, then consider joining ou

r team!
Vaga publicada há 2 dias atrás
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