Technical Project Manager - Data Platform
Job Summary
Job Description
Ookla is seeking a Technical Project Manager for its Data Platform. The role involves independently managing the lifecycle of complex enterprise-level software projects focused on data collection, pipelines, data lakes, and production-ready datasets. Responsibilities include ensuring timely delivery using project management best practices, acting as a point person for multiple projects, communicating high-level statuses to executives and detailed work items to engineering and product managers. The ideal candidate possesses exceptional communication, analytical, and abstract thinking skills, and can influence without authority to successfully deliver projects on time. Collaboration with teams in the USA, Dublin, and Helsinki is key, working with Product, Data Science, and Engineering to accurately scope projects, track dependencies, and meet deliverables.
Must have:
- 3-5 years of experience managing enterprise software projects
- Proficiency in Jira, Jira Advanced Roadmaps, Confluence, Google Workspace
- Build and maintain Jira Dashboards
- Strong skills in Google Sheets
- Experience with Agile and Waterfall methodologies
- Proven track record in end-to-end software project delivery
- Bachelor's degree or relevant work experience
- Understanding of telecom technologies
- Knowledge of database technologies and data pipelines
- Understanding of data ingestion
Good to have:
- PMP or equivalent certification
- Industry experience in Telecommunications
- Jira administration experience
- Understanding of AWS infrastructure, Redshift, Athena
8 skills required
Job Details
Description
Ookla® is a global leader in connectivity intelligence, offering unparalleled network insights through the combined expertise of Speedtest®, Downdetector®, RootMetrics®, and Ekahau®. Ookla’s complementary datasets combine crowdsourced and controlled, public and private collection methods, QoS and QoE metrics, and more to unlock correlations and actionable insights — helping organizations optimize networks, enhance digital experiences, and create better connected experiences for end-users.
Our team is a group of people brought together through passion and inspired by possibility. We are looking for team members who love solving problems, are motivated by challenges, and enjoy turning clever ideas into exceptional products. When you work for us, you are using Ookla data and insights to advance our mission of better connectivity for all.
The ideal candidate has successfully led and independently owned the lifecycle of a highly complex enterprise-level software project focused on delivering data collection, data pipelines, including data lake and production-ready data sets. You will be responsible for ensuring timely and successful delivery using technical project management best practices. You act as the point person for multiple projects to ensure visibility, accountability and deliverables are communicated to Sales, Executives and other stakeholders. You have deep experience communicating high-level statuses to Executives and highly-detailed work items with Engineering and Product Managers. You are a detail-oriented person with exceptional communication, analytical and abstract thinking skills. You work well with others and are able to “influence without authority” in order to successfully deliver multiple projects on time.
You will work cross-functionally with teams in the USA, Dublin, and Helsinki, collaborating with Product, Data Science, and Engineering to ensure projects are scoped accurately, dependencies are tracked, and deliverables are met on time.
What You’ll Do:
- Define project scope, objectives, and deliverables with stakeholders
- Align priorities across teams with Agile Coaches and Product Managers for the Data Platform
- Own and manage Scrum processes and ceremonies for the Data Science team: standups, refinement, planning, and roadmap estimation meetings
- Lead project status meetings to track progress, identify roadblocks, and manage risks
- Build and maintain clear and consistent communication through status reports and Jira Dashboards
- Contribute to the Project Management Standards of Excellence
- Provide project visibility to Sales, Executives, and other stakeholders
- Develop and manage Jira Plans, including timelines, dependencies, and Product Marketing deliverables
- Conduct regular project reviews, gather feedback, and ensure timely follow-ups
- Drive continuous improvement across project management processes
- Attend cross-functional meetings and communicate changes, risks, or blockers effectively
Expectations of Success:
- Project plans are aligned with the company roadmap, with well-defined milestones
- Delivery timelines and risks are proactively managed and communicated
- Jira is used effectively to visualize and track project progress
- Data Science and dependent teams are supported and unblocked, with issues resolved or escalated promptly
- Executive and team-level stakeholders stay informed through clear reporting and updates
Requirements:
We care more about your capability and experience than checking every box. If you’ve managed similar challenges, we want to hear from you.
- 3-5 years of experience managing enterprise-level software projects
- Proficiency in Jira, Jira Advanced Roadmaps, Confluence, and Google Workspace
- Highly proficient at building Jira Dashboards
- Strong skills in Google Sheets
- Worked in Scrum, Agile, and Waterfall project methodologies
- Proven track record in end-to-end software project delivery
- PMP or equivalent certification (preferred)
- Bachelor’s degree in Business, Engineering, or professional work experience in related fields
- Industry experience in Telecommunications and customer engagement lifecycles
- Jira administration experience (preferred)
- Understanding of internet, cellular, broadband, or telecom technologies
- Fundamentals in database technologies, data pipelines, relationships between dimensions and how they interact with each other.
- Baseline understanding about data ingestion
- Basic understanding of large-scale implementations of AWS infrastructure, Redshift, Athena and other technologies
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