Project Manager

Project Manager at Twine

This Project Manager role at Twine is designed for a hands-on individual with a robust background in data or analytics engineering projects. You will play a crucial part in ensuring the seamless delivery of data engineering initiatives, collaborating closely with technical teams and various business stakeholders. The ideal candidate can effectively translate complex discussions into clear, actionable tasks, maintain an organized project roadmap, and communicate progress with clarity and impact. This position involves facilitating sprint planning, daily standups, and retrospectives, with the flexibility to adapt processes to best suit the team's needs. Key projects you will support include data pipelines (ETL/ELT), APIs, integrations, data warehousing, modeling, and data quality monitoring.

Responsibilities

• Lead and manage data engineering project delivery, ensuring timelines and priorities are maintained.
• Collaborate with data engineers and business stakeholders to define project scope and requirements.
• Break down work into clear, actionable tasks with defined acceptance criteria.
• Run sprint planning, daily standups, and retrospectives (or lightweight alternatives).
• Track project timelines, risks, and dependencies, proactively addressing blockers.
• Maintain a simple, up-to-date project roadmap.
• Provide concise status updates to stakeholders.
• Support process improvement and documentation efforts.
• Oversee projects involving data pipelines, APIs, integrations, data warehousing (Snowflake, BigQuery, Redshift, dbt), and data quality monitoring.

Skills And Requirements

• Proven experience managing projects with data or analytics engineering teams.
• Strong understanding of technical concepts such as SQL, data schemas, ETL/ELT pipelines, and data warehousing.
• Excellent organizational and communication skills, with the ability to translate technical discussions into clear tasks.
• Experience with agile methodologies and running sprint ceremonies.
• Ability to track and manage project risks, dependencies, and deliverables.
• Comfortable working remotely and independently.
• Based in the United States.
• Availability for 10–20 hours per week, with a preference for long-term engagement.

Key skills/competency

• Project Management
• Data Engineering
• Analytics Engineering
• Agile Methodologies
• Stakeholder Management
• ETL/ELT Pipelines
• Data Warehousing (Snowflake, BigQuery, Redshift, dbt)
• SQL
• Risk Management
• Communication