Senior Director, Moneyball and Agentic Automation

Armada•Washington, DC

8d•$240,880 - $301,100•Remote

About The Position

Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere. We are looking for a Senior Director of Moneyball to build our data and AI infrastructure from zero to one. You won’t just report on the news, you will make the news. We use the term “Moneyball” intentionally. In baseball, it meant finding undervalued assets and winning through statistical arbitrage. For us, it means using rigorous data intelligence to optimize our unit economics, forecast with precision, and deploy AI Agents that act as force-multipliers for our operations. This is a founding role. You will inherit a blank slate (greenfield), choose the stack, hire the first 2-4 engineers/analysts, and report directly to the C-Suite to drive strategy. Your mandate is split into two critical engines: The Truth Engine (66% - BI & Analytics): You will build the “Source of Truth” for the entire company. You will replace intuition with evidence, ensuring that every decision,from pricing hardware to optimizing supply chains, is backed by real-time data. You will own the Modern Data Stack (MDS) and the financial/operational models that steer the ship. The Automation Engine (34% - AI Agents): You will lead our internal AI strategy, moving beyond “chatbots” to Agentic Workflows. You will build and deploy autonomous agents that can “reason, plan, and act”— automating complex workflows in finance, ops, and customer success (e.g., an agent that automatically reconciles invoices or triages technical support tickets).

Requirements

7+ years of experience in Data Science, Analytics, or BizOps at a high-growth tech company.
Proven experience building a data stack from scratch (Greenfield projects).
Fluency in SQL and Python (specifically for data manipulation and API interactions).
Experience with the Modern Data Stack.
Demonstrable experience building or managing AI/LLM applications (even side projects count).

Nice To Haves

Experience in Hardware/SaaS business models.
Background in Finance, Investment Banking, or Management Consulting prior to tech.

Responsibilities

Architect from Scratch: Select and deploy the V1 Modern Data Stack. Avoid over-engineering, while prioritizing speed-to-insight.
Define the Metrics that Matter: Work with the Chief Business Officer to define our “North Star” metrics and unit economics (CAC, LTV, Burn Multiples, Gross Margins).
Research and procure structured and unstructured data from the market to augment the internal data set.
Develop and implement business ideas and actions to enhance the business.
Identify High-Value Workflows: Audit our internal operations to find repetitive, high-cognitive-load tasks that are ripe for agentic automation.
Build & Orchestrate: Lead the development of internal AI agents using industry-leading frameworks.
Human-in-the-Loop Design: Design systems where AI drafts/proposes actions that humans approve, slowly increasing autonomy as trust builds.
Hiring: Recruit and manage a lean, elite team of 2-4 Data Engineers, Analytics Engineers, and AI Prototypers.
Culture of Rigor: Instill a “write it down” culture where data isn’t just a dashboard—it’s the primary language of the business.

Benefits

Competitive base salary and equity
Medical, dental, and vision (subsidized cost)
Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)
Retirement plan options, including 401(k) and Roth 401(k)
Unlimited paid time off (PTO)
15 paid company holidays per year

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume