Technical Project Manager

SunnyData Inc.

Job Overview

Location

Uruguay

Job Type

Full-time

Full Job Description

📋 Description

• At SunnyData, a leading Databricks technology partner, our mission is to empower customers with scalable architectures, robust data engineering pipelines, seamless data consumption layers, and advanced ML and AI applications.
• As a Technical Project Manager you will help project leaders to drive the execution of technical projects and foster agile ways of working.
• The Impact You Will Have
• Keep the team organized and moving: Coordinate meetings, ceremonies, and project logistics to ensure teams remain aligned and productive.
• Maintain communication clarity: Capture notes, decisions, and action items during client and internal meetings, and share updates promptly with stakeholders.
• Support tracking and follow-up: Monitor action items, dependencies, and deadlines, following up with the appropriate owners to maintain delivery momentum.
• Enable effective collaboration: Facilitate smooth communication between cross-functional teams (technical leads, engineers, client stakeholders), helping reduce friction and misunderstandings.
• Identify project risks and roadblocks: Proactively monitor and work with the technical team to provide solutions to keep the engagement on track.
• Promote lightweight agile practices: Support the team in using simple, effective agile habits such as ceremonies, visual boards, and feedback loops, to improve predictability and transparency.
• Required Experience
• Experience working with IT or technology teams in an agile environment.
• Strong stakeholder management skills with a track record of building relationships to influence and drive change.
• Excellent problem-solving, critical thinking, and analytical skills.
• Strong planning, organizational, and time-management abilities.
• Demonstrated qualities of a strong team player with a proactive mindset.
• Agile mindset, with experience performing Scrum Master duties or facilitating agile ceremonies across multiple teams.
• Advanced English level (both written and spoken), with the ability to communicate clearly with technical and business stakeholders.
• Preferred Experience
• Experience managing data or software projects, preferably in analytics, ML/AI, or data engineering environments.
• Experience in cloud platforms (Databricks, AWS, GCP, Azure) is a plus.
• Comfort with ambiguity and the ability to remain positive, confident, and resourceful in complex or unexpected situations.
• Excellent verbal and written communication skills, able to translate between business and technical stakeholders.
• Strong technical acumen, with the ability to understand and communicate technical challenges and program execution.
• Certifications such as CSM, PSM, or Agile Project Management are a plus.
• Understanding of project management tools such as Jira, Confluence, Asana, Trello, etc.
• Education
• Bachelor’s degree in Information Technology, Business, or related field is preferred.

🎯 Requirements

• Experience working with IT or technology teams in an agile environment.
• Strong stakeholder management skills with a track record of building relationships to influence and drive change.
• Excellent problem-solving, critical thinking, and analytical skills.

🏖️ Benefits

• Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.
• Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.
• Career Growth: Opportunities for professional development and career advancement.
• Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.

Skills & Technologies

AWS

Azure

GCP

Onsite

Degree Required

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SunnyData Inc.

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About SunnyData Inc.

SunnyData provides AI-driven data analytics and business intelligence software to enterprises. Its cloud platform ingests, cleans, and analyzes structured and unstructured data from CRM, ERP, IoT, and social sources, delivering interactive dashboards, predictive models, and automated reporting. Machine-learning algorithms surface anomalies, forecast demand, and recommend actions. APIs and pre-built connectors integrate with Salesforce, Snowflake, AWS, and Azure. The company serves retail, manufacturing, healthcare, and financial services clients seeking faster, data-driven decisions without building in-house infrastructure.

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