Project Manager
New
L
LingaroData & Analytics
United States of AmericaFull-TimeManager
Salary not disclosed
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Job Details
- Languages
- Fluency in English, both spoken and written.
- Required Skills
- Project ManagementAgileBusiness IntelligenceSCRUMStakeholder managementData analytics
Requirements
- Have proven experience managing technical IT projects in Data & Analytics, BI, Web Development, Data Platforms, or similar domains.
- Have experience combining Project Manager and Product Owner responsibilities, including backlog ownership, prioritization, acceptance criteria, and value-based decision-making.
- Demonstrate an ownership mindset, customer focus, and proactive problem-solving.
- Translate business needs into clear delivery scope and drive practical, outcome-oriented solutions.
- Have experience in project planning, monitoring, controlling, reporting, and stakeholder management in Agile or hybrid delivery models.
- Assess scope changes, understand delivery impact, and communicate recommendations clearly.
- Bridge business and technical stakeholders and drive decisions through excellent communication.
- Be fluent in English, both spoken and written.
Responsibilities
- Take end-to-end ownership of technical IT projects from initiation to delivery and handover, mainly in Data & Analytics, BI, Web Development, and Data Platform domains.
- Translate business needs into delivery scope, priorities, and practical solutions within agreed budget and contract boundaries.
- Own delivery priorities, including what gets built, what does not get built, and in what order.
- Manage scope, budget, timeline, risks, dependencies, and technical delivery constraints in alignment with agreed business outcomes.
- Partner with clients on priorities, scope, trade-offs, risks, and solution direction; lead client-facing meetings and communicate progress.
- Work with data engineers, developers, architects, and business analysts to remove blockers and drive problem-solving.
- Lead or support Agile/Scrum ceremonies in Agile or hybrid delivery models.
- Ensure proper documentation, knowledge management, and lessons learned.
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