Technical Program Manager - Data Center

Avicado

1d•Remote

About The Position

The Technical Program Manager owns design change programs end-to-end for a major data center account, from scoping and design development through execution and post-execution. The role manages large budgets and aligns site teams, project leads, client vendors, engineering teams, lease teams, and other stakeholders around shared plans. It translates complex project information into clear leadership updates and requires a self-directed owner who can keep multiple workstreams moving with minimal oversight. The position supports a client modernizing management of its data center fleet, including documenting engineering domain limits for supply planning and rack placement automation. Responsibilities include planning and facilitating working sessions, coordinating source documents and system access, tracking actions and data quality, and following up with engineering and lease contacts. The role maintains program trackers and dashboards, drafts status reports, and coordinates requirements and feedback between engineering subject matter experts and software developers. The manager develops phased delivery plans and scope recommendations, tracks dependencies and risks, prepares executive-ready communications, pilots and scales processes, and maintains documentation and business-as-usual processes. AI tools are used to improve notetaking, tracking, drafting, reporting, and day-to-day efficiency. The role is remote-first, with coordination of both in-person and virtual working sessions as needed.

Requirements

At least 5 years managing projects or programs in construction, engineering, or facilities, including end-to-end work involving multiple teams.
Technical ability to follow engineering discussions, read construction drawings and electrical one-lines, and understand power and cooling basics.
Strong organization and accuracy with detailed work, including spreadsheets, trackers, and data entry.
Comfort following up with busy senior engineers until work is closed.
Clear written communication and ability to distill critical information for leadership.
Proficiency with Google Workspace, including Sheets, Docs, and Slides.
Comfort using AI tools and prompting effectively.

Nice To Haves

PMP or similar certification.
Experience in data centers, mission-critical environments, or large commercial construction.
Experience with Autodesk Construction Cloud, eBuilder, or Procore.
Experience coordinating multi-day working sessions or workshops across teams.

Responsibilities

Plan working-session logistics, including scheduling, invitations, rooms, travel, attendee availability, and system access.
Gather current drawings, models, and electrical one-lines from client document systems before sessions and flag gaps.
Lead working sessions, recurring team meetings, discipline working groups, and cross-domain syncs; manage agendas, facilitation, attendance, notes, and action items.
Maintain open-item lists and follow up with engineers and lease contacts until items are closed.
Enter engineer-supplied data into the planning system when needed and obtain engineer sign-off.
Own and update the program tracker weekly, including actions, owners, due dates, dependencies, and follow-through across workstreams.
Keep the session plan current as scope and timing change, and update dashboard data, including information about spreadsheets being retired.
Draft biweekly status updates, program announcements, recaps, decision logs, and follow-ups for program-lead review and stakeholder alignment.
Prepare executive-ready decks, status reports, and summaries; present status, risks, and requests to stakeholders.
Develop phased delivery plans and proposals with trade-offs that balance engineering bandwidth, software readiness, and downstream need-by dates.
Drive alignment on recommendations and scope priorities, and surface risks early.
Represent the engineering organization to partner teams and negotiate scope and timelines.
Act as the liaison between subject matter experts and software developers by translating engineering needs into requirements, feature requests, and acceptance criteria, and providing feedback on tool functionality.
Coordinate with regional design and operations engineers, document control, and other teams to source data.
Use AI tools to improve notetaking, tracking, drafting, reporting, and daily workflows.
Plan and run multi-day in-person and virtual data-buildout sessions, including scope, attendees, pre-reads, readiness checks, logistics, and facilitation.
Build structured, ingestion-ready data-collection templates and trackers, maintaining data quality and consistent naming.
Pilot processes with small groups, capture lessons learned, and scale them into repeatable playbooks and training materials.
Help define data ownership, lifecycle phasing, and business-as-usual processes after initial buildout.
Keep definitions, methodologies, field guides, and onboarding resources current.