Own and maintain Asana engineering boards across all data sub-teams, grooming backlogs, managing sprint cycles, and ensuring tickets are well-defined, prioritized, and moving.
Build and enforce intake processes, ticket standards, and definition-of-done criteria across workstreams.
Facilitate standups, sprint reviews, and cross-team syncs with a focus on decisions and outcomes.
Maintain a real-time view of client-specific custom deliverables across a 650-client agency, tracking progress, flagging risks, and driving accountability.
Serve as the operational bridge between client-facing teams and the data engineering org, translating requirements into scoped, ticketed work.
Ensure high-volume client customization work moves predictably and does not get lost between teams.
Connect workstreams across data engineering, architecture, analytics engineering, BI, and tagging, surfacing dependencies and sequencing work intelligently.
Monitor data operations health including pipeline stability, incident resolution, and data completeness across clients.
Coordinate release readiness, QA handoffs, and go-live sequencing for major deliverables.
Use Claude AI, Claude Code, and other AI tooling to produce status updates, project summaries, and operational reports.
Build lightweight AI-assisted workflows that reduce manual overhead and improve visibility for leadership and stakeholders.
Evaluate and introduce tools and practices that help the team operate more efficiently and document their own work.

5+ years of project or program management experience in data, analytics, or data engineering environments
Direct experience owning engineering backlogs and sprint processes in Asana, Jira, Linear, or equivalent tools
Technical fluency sufficient to understand data pipeline architecture, dbt models, API integrations, and modern data stack conversations without needing to write code
Proven ability to manage multiple parallel workstreams in a high-volume, client-services or agency environment
Strong written communication skills with the ability to translate technical status into clear stakeholder updates.
Familiarity with modern data stack tooling including dbt, Fivetran, Airflow, BigQuery, Snowflake, or Looker
Hands-on experience with AI productivity tools, particularly Claude, and a track record of integrating them into daily workflows
Experience operating in a multi-client or agency environment with real SLA and customization constraints
Exposure to tagging, tracking, or data governance workflows such as GTM, CDPs, or event schemas
Background in data operations including pipeline monitoring, data quality management, and incident coordination.

Power Digital’s people and culture are at the core of our success, which is why diversity in our team’s backgrounds and experiences are paramount. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who strive to make an impact inside and outside of the workplace.

Technical Project Manager

Key skills