Project Controls Data Analytics & AI Tools (AI)

Location: Greater Seattle Area or Space Coast, FL, United States

Base pay for Washington applicants: $130,706.00–$182,987.70 annually; other site ranges may differ.

Company

hirify.global develops reusable, safe, and low-cost space vehicles and systems and supports manufacturing, supply chain, test operations, safety, quality, and mission assurance across its facilities.

What you will do

• Gather stakeholder needs and define requirements, architecture, data flows, source-of-truth mappings, testing, and version control for the controls toolchain.
• Build governed Databricks-based pipelines and data models joining schedules, costs, labor, procurement, engineering configuration, changes, and risks.
• Develop portfolio dashboards, EVM and schedule-health reporting, forecasting models, Monte Carlo risk analysis, and PE capacity models.
• Design and deploy LLM-based agents for project setup, consistency checks, variance narratives, change-impact summaries, and risk identification.
• Implement human approval, source logging, regression testing, ITAR-compliant data boundaries, and measurement of automation outcomes.
• Work with project engineers, systems engineering, finance, procurement, site teams, and enterprise IT to establish standards, runbooks, and training.

Requirements

• Bachelor’s degree in a quantitative or technical field, or an equivalent combination of education and directly relevant experience.
• 5+ years in project controls, business intelligence, or data analytics, including at least 2 years building data products or tools for project, construction, engineering, or finance teams.
• Experience translating business problems into technical requirements and shipping dashboards or data products used regularly for decisions.
• Strong SQL and Python, with production ETL/ELT pipeline experience.
• Data modeling experience with star schemas, snapshots, and slowly changing dimensions, plus Power BI or Tableau experience.
• Working knowledge of CPM scheduling, baselines, change control, cost metrics, and EVM.
• Hands-on LLM or AI tooling experience, including prompting, retrieval, tool or agent workflows, and output evaluation.
• Git experience and the ability to explain data and model limitations clearly.
• Must be a U.S. citizen or national, U.S. permanent resident, or lawfully admitted refugee or asylee.

Nice to have

• Master’s degree in analytics, data science, statistics, or a related field.
• Databricks, Spark, AWS, or Azure experience.
• Primavera P6, MS Project, or EVMS/EIA-748 experience.
• Engineering or PLM data experience, including Windchill, BOMs, engineering changes, ERP, or Jira APIs.
• Monte Carlo schedule risk analysis, time-series forecasting, or discrete-event simulation experience.
• Capital construction, launch, test, or heavy-industrial project experience.
• Experience delivering measurable AI automation, code review, automated testing, CI/CD, or PMI-SP, AACE, PMP, or similar certification.

Culture & Benefits

• Full-time role in a safety-focused, collaborative, and inclusive aerospace environment.
• Medical, dental, vision, life insurance, disability coverage, paid parental leave, and an education support program.
• 401(k) with company matching up to 5% and stock options for regular employees working at least 20 hours per week.
• Up to four weeks of paid time off and up to 14 company-paid holidays.
• Employment is subject to required background checks and applicable export-control rules.

Hiring process

• Applications are accepted on an ongoing basis until the requisition closes.
• Applicants requiring accommodation may contact the stated EEO compliance inbox without including personal medical information.