Technical Project Manager
Who We Are:
We are a tech-enabled growth firm–at the intersection of marketing, consulting & data intelligence–igniting revenue and brand recognition for leading and emerging companies around the world. As a people-first firm, we value diversity in backgrounds and experiences. We strongly believe our people and culture are key to our success. Our vision is to be recognized as the most valued and respected private growth marketing firm in the world–with a scalable brand, culture and services. Our mission is to power the relentless pursuit of growth and redefine what’s possible through a team of growth-obsessed experts who demand innovation and results - driven by integrity, autonomy, and grit.
As a full-service growth marketing firm, we offer best-in-class services including: SEO, Content Marketing, Paid Media, Social Media Marketing, Programmatic + CTV, Public Relations, Influencer Marketing, Email + SMS, Conversion Rate Optimization, Retail Marketing, and Creative. Here at Power Digital, we are hyper-focused on helping brands drive revenue growth and brand recognition, ultimately driving irrefutable value for our clients.
At the heart of Power Digital is our proprietary technology, nova, which analyzes businesses through first-party data, simplifying investment planning for marketing and diligence in M&A––putting marketers in a strategic seat at the table––and providing value in unparalleled ways.
Managing billions in media, our dynamic team––of consultative marketers, creatives, analysts and technologists––challenge traditional ways of planning and measurement through meticulous testing and data science across each milestone of the customer journey.
About the role:
We are looking for a hands-on, technically fluent Technical Project Manager to embed directly into our data organization and keep a complex, high-velocity team running at its best. This is not a traditional PM role. You will sit at the intersection of engineering execution, client delivery, and operational intelligence, working across a team of Data Engineers, Data Architects, Analytics Engineers, BI/Reporting specialists, and Tagging and Tracking engineers.
Our data team is the backbone of data operations for a 650-client agency, building consolidated pipelines, custom integrations, client-specific data solutions, and reporting infrastructure. You will be the connective tissue that holds it all together, grooming boards, tracking deliverables, removing blockers, and surfacing the right information to the right people at the right time.
We are a heavily AI-enabled team. You will be expected to use tools like Claude AI and Claude Code actively, not just as a user, but as someone who pushes the team to work smarter through AI-assisted workflows, reporting, and project intelligence.
A day in the life:
You start the morning by scanning Asana boards across the data engineering, analytics, and tagging teams, catching anything that stalled overnight, updating ticket statuses, and flagging blockers before standup. You run a tight cross-team sync, surface two dependency conflicts between the pipeline and BI workstreams, and get the right engineers in a room to resolve them.
Mid-morning, you shift to client deliverables, reviewing the status of a handful of custom integration builds for agency clients, pushing for updated ETAs from engineers, and drafting a brief AI-assisted status summary for the client success team using Claude.
In the afternoon you groom next sprint's backlog with two team leads, refine ticket definitions, and pull a Claude-generated project health report to share with leadership. You close the day with a quick async update in Asana across three open workstreams, making sure nothing is waiting on you.
Key Responsibilities:
Engineering Board Management
- 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
Client Deliverable Tracking
- 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
Cross-Stream Coordination
- 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
AI-Enabled Reporting and Communication
- 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
Role Requirements:
Must-Haves
- 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
Strongly Preferred
- 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
Key Performance Indicators (KPIs)
- Client Deliverable On-Time Rate: Percentage of client-specific deliverables delivered by committed ETA. Target: 90%+. Tracked weekly on a rolling 30-day basis. On-time defined as within originally scoped timeline unless a formal re-scope is documented.
- Data Milestone Delivery Rate: Percentage of internally scoped milestones (feature builds, pipeline releases, integration deployments) delivered by committed target date. Target: 90%+. Every active project must have defined milestones with owners and target dates in Asana.
- WIP (work-in-progess) and Throughput Health: Active WIP per engineer or pod maintained within defined limits. Weekly throughput (tickets/points completed per sub-team) stable or improving over a trailing 4-week average. WIP limits set collaboratively with team leads and reviewed monthly.
- Data Feed Incident Response SLA: Q2: SLA tiers defined, triage process documented, severity tagging implemented in Asana. Q3+: 90%+ of incidents resolved within defined SLA by severity level.
Most Important Things (MITs)
- Boards are clean, current, and trusted by the engineering teams who live in them
- Every active client deliverable has a clear owner, status, and next action at all times
- Cross-team dependencies are identified and resolved before they block delivery
- Leadership has a reliable, low-effort window into what is shipping, what is at risk, and why
- AI tooling is actively used to reduce reporting overhead and improve the quality of project communication across the org.
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. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employees' points of view are key to our success, and inclusion is everyone's responsibility.
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