ROLE OVERVIEW:
The Technical Project Manager is a critical leadership role responsible for steering our client’s Google Cloud Platform (GCP) data lakehouse initiative. You will act as the central hub, connecting our technical teams with business stakeholders to ensure the project’s success. This role is pivotal in guiding the development of our data platform by managing multiple, concurrent workstreams—from the creation of automated data pipelines to the delivery of specific use case deliverables like client-ready datasets and BI reports. The ideal candidate will excel at translating complex technical requirements into strategic business objectives and vice-versa, ensuring the project remains aligned with its goals, on schedule, and within scope, ultimately delivering robust and scalable data solutions.

RESPONSIBILITIES:

● Bridge Technical and Business Needs: Act as the primary liaison between the cloud engineering team and non-technical stakeholders. Translate complex data architecture and pipeline concepts into clear business value, and convert business requirements into actionable technical tasks and user stories.
● Guide Technical Product Development: Define and manage the technical roadmap for the GCP data lakehouse. Oversee the entire project lifecycle from planning to deployment, ensuring that engineering efforts align with the strategic goals of delivering high-quality, QA data assets for BI and analytics.
● Project Planning and Execution: Develop and maintain comprehensive project plans to manage multiple workstreams simultaneously. Proactively manage project scope, identify and mitigate technical risks, and resolve impediments to ensure the timely completion of use case deliverables and keep the overall project on track.
● Agile Process Management: Lead agile/scrum ceremonies, including sprint planning, daily stand-ups, and retrospectives, to foster a culture of continuous improvement and ensure a steady delivery of prioritized use cases and data products.
● Stakeholder Communication and Reporting: Ensure transparent and consistent communication on project status, risks, and progress to all stakeholders, including senior leadership.
● Resource and Dependency Management: Coordinate with the Data Engineering Lead and other team members to ensure resources are allocated effectively and that cross-functional dependencies are managed.

REQUIREMENTS:
● 7+ years of experience in technical project management, with a proven track record of successfully delivering complex data engineering, data warehousing, or cloud infrastructure projects.
● Proven ability to manage multiple workstreams and concurrent project deliverables in a fast-paced environment.
● Demonstrable experience managing projects on a major cloud platform (GCP is highly preferred; AWS, Azure are also valuable).
● Deep understanding of the data project lifecycle, including data ingestion, ETL/ELT processes, data modeling, and business intelligence.
● Expertise in Agile and Scrum methodologies, with hands-on experience using project management software (e.g., Jira, Asana).
● Exceptional ability to communicate complex technical ideas to both technical and non-technical audiences, ensuring clear alignment and understanding across teams.
● Strong technical acumen and familiarity with data technologies like SQL, Python, and modern data pipeline tools.
● Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
● Project Management (PMP) or Agile (e.g., Certified ScrumMaster - CSM) certification is a strong plus.