Director of Enterprise Cloud Deployments

Incubeta•Salt Lake City, UT

1d•$155,000 - $190,000•Hybrid

About The Position

Incubeta is a global marketing partner helping ambitious brands drive profitable growth by bringing media, creative, data and technology into one integrated solution. In the Americas, we are entering a decisive growth phase with a strong capability, proven solutions, differentiated IP, and a clear enterprise strategy built on Google Cloud and AI orchestration. This role is crucial for scaling these efforts. As we grow our Seamless Suite deployments, our founder-level technical leadership is stretched across selling, thought leadership, and running the team. We are hiring a leader to own the people and the delivery so that senior leadership can stay on the front end of the market. Success in this role is measured by three outcomes: expansion (recurring) revenue closed on existing accounts, delivery quality and margin held as we scale, and a motivated, high-retention technical team.

Requirements

6+ years of experience in data, cloud, analytics or AI delivery, including at least 3 years leading and developing people.
Proven track record managing and growing technical teams (engineers, architects, analysts, delivery resources), including nearshore or contractor models.
Technical fluency across cloud architecture (GCP strongly preferred), BigQuery and data warehousing, and modern AI/ML including LLMs and generative AI, to a level where you can credibly guide and challenge architectural decisions.
Client-facing experience translating technical strategy into business value for enterprise stakeholders.
Experience partnering with sales on scoping, pricing and closing technical engagements, and reviewing SOWs for deliverability.
Strong command of data-as-a-service models and modern AI deployment practices.
Exceptional communication and executive presence, with fluent English.

Nice To Haves

Experience inside a digital marketing agency, data consultancy or technology services firm serving enterprise clients.
GCP Professional certification (Professional Data Engineer or Professional Machine Learning Engineer) or equivalent demonstrated expertise.
Familiarity with Agentic Engine Optimization (AEO), Generative Engine Optimization (GEO), and enterprise AI platforms such as Gemini Enterprise.
Hands-on exposure to agentic AI tooling (for example Claude Code and Claude-based design and development workflows).
Background in full-stack development or MLOps and an appreciation for the software engineering lifecycle.
Experience across MarTech/AdTech and the Google marketing ecosystem (GA4, GTM, Looker Studio, BigQuery; CDPs such as Segment or Tealium).
Comfort operating in a matrixed, global organization across onshore, nearshore and contractor models.

Responsibilities

Lead, coach and develop our US technical team (data, cloud and AI delivery talent) plus the nearshore and contractor resources they work with.
Set clear expectations, run regular coaching, own career development, and align each person's goals to the business vision.
Own the quality of what the team ships across client engagements.
Set technical standards, review architectures, and make sure every deployment exceeds the value promised to the client.
Spot-support delivery hands-on when needed, but your job is to govern and unblock the work, not to be the primary builder.
Join the sales cycle after an account is sold to identify and close expansion opportunities.
Act as the technical authority who reviews scopes and SOWs before they go to clients, and translate technical strategy into business value for enterprise stakeholders.
Build the SOPs, playbooks and capacity planning that let the team execute consistently as we scale, and partner with Operations, Finance and the Global Product team on priorities and market feedback.