Project Controls Data Analytics & AI Tools

Application close date:

At Blue Origin we envision millions of people living and working in space for the benefit of Earth. Were working to develop reusable safe and low-cost space vehicles and systems within a culture of safety collaboration and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!

As part of a hardworking team of specialists technicians and engineers you will connect the systems that hold the projects truth: schedules cost and labor actuals procurement change requests engineering configuration and risk. You will turn them into one trusted controls dataset. On top of it you will build the dashboards forecasts and AI agents that remove manual status work. Success means each PE carries more projects with earlier warning of slips and overruns and leadership sees the portfolio without asking anyone for a slide.

This is a builder role. You will own the controls data model and the tools built on it: data pipelines dashboards forecasting and risk models and AI agents. You dont need an engineering background. You do need to learn the engineering data (design releases BOMs engineering changes) well enough to model it working alongside PEs and technical leads. You will ship working tools that PEs use.

Responsibilities include but are not limited to:

Requirements and architecture of the controls toolchain

• Gather PE finance and leadership needs and turn them into technical requirements for each data product and tool.
• Map which system is the source of truth for each data element across PLM (Windchill) ERP and MRP change tools (Jira ITS Change Orchestrator) scheduling (P6) and the analytics platform. Document the data flows between them.
• Test each tool against its requirements before release. Keep code data models and AI agents under version control.
• Link design releases engineering changes schedule activities cost and risk so each project can be traced through its gate reviews (SRR IDR FDR Pre-Activation Review).

Forecasting risk and simulation models

• Build and run Monte Carlo schedule and cost risk models on resource-loaded schedules to set confidence levels for gate reviews and baselines.
• Estimate the schedule cost and resource impact of proposed changes so the PE can make the call with data.
• Build estimating models from completed GSD projects for hours cost and duration.

Controls data foundation

• Build and maintain data pipelines that join schedule (Primavera P6 / IMS) cost and labor actuals procurement change requests engineering configuration (PLM) and the risk register into a governed controls dataset mostly in Databricks.
• Define the controls data model: project WBS control account work package change risk. Own its data dictionary and quality checks.
• Find and fix data-quality gaps at the source. Missing baselines unmapped charge codes and stale schedule status are common examples.

Analytics and reporting

• Build and run portfolio and project dashboards: schedule health (DCMA-style checks) cost and EVM metrics (CPI SPI EAC/VAC) change throughput risk burn-down and PE workload.
• Automate the weekly status and variance review and the monthly forecast package so PEs review and approve instead of compiling.
• Build forecasting models for schedule slip cost at completion and resource demand. Use history from completed projects to calibrate them.
• Model PE and IPT capacity against intake demand to support accept defer or decline decisions at intake.

AI tools and automation

• Design build and deploy AI agents and LLM-based tools for controls work. Examples: project setup across systems schedule-to-scope consistency checks variance narratives change impact summaries risk identification from engineering and test records.
• Put guardrails around every tool: human approval on anything that changes a baseline logged sources for every generated number and tests that catch regressions.
• Measure each tools effect in PE hours saved or cycle time cut and retire tools that dont earn their keep.
• Work within ITAR and data-handling rules. Use only approved internal AI platforms and data boundaries.

Adoption and standards

• Work directly with PEs Systems Engineering finance procurement and site teams to find the highest-value manual work and automate it first.
• Write the standards runbooks and training that let PEs use the tools without help.
• Partner with enterprise IT data and tool teams so GSDs tools build on company platforms instead of duplicating them.

Minimum Qualifications

• Bachelors degree in a quantitative or technical field such as data science statistics information systems computer science mathematics economics finance business analytics construction management or engineering (or equivalent combination of education and directly relevant experience).
• 5 years in project controls business intelligence or data analytics with at least 2 years building data products or tools for project construction engineering or finance teams.
• Experience turning business problems into technical requirements and shipping a dashboard or data product that a team used to make decisions on a regular cadence.
• Strong SQL and Python. Experience building production data pipelines (ETL/ELT) not one-off analyses.
• Data modeling experience (star schemas snapshots slowly changing dimensions) and a BI tool such as Power BI or Tableau.
• Working knowledge of project controls: CPM scheduling baselines and change control cost and EVM metrics.
• Hands-on experience building with LLMs or AI tooling: prompting retrieval tool or agent workflows and evaluating their output.
• Experience with version control (Git).
• Ability to explain data and model limits plainly to engineers and leaders.
• Must be a U.S. citizen or national U.S. permanent resident (current Green Card holder) or lawfully admitted into the U.S. as a refugee or granted asylum.

Preferred Qualifications

• Masters degree in analytics data science statistics or a related field.
• Experience with Databricks or Spark and with cloud data platforms (AWS or Azure).
• Experience with Primavera P6 or MS Project data structures and with EVMS (EIA-748) reporting.
• Experience with engineering or PLM data (Windchill or similar BOMs engineering changes) or pulling ERP and Jira data through their APIs.
• Monte Carlo schedule risk analysis (SRA) time-series forecasting or discrete event simulation.
• Capital construction launch test or heavy-industrial project experience.
• Built an AI agent or automation that took a recurring manual task out of a teams week with a measured result.
• Software engineering habits for data work: code review automated tests CI/CD.
• PMI-SP AACE (PSP or EVP) PMP or a similar certification. This is not required.

Base Pay Range for:

Other site ranges may differ

Culture Statement

Dont meet all desired requirements Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin we are dedicated to building an authentic workplace so if youre excited about this role but your past experience doesnt align perfectly with every desired qualification in the job description we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Export Control Regulations

Applicants for employment at Blue Origin must be a U.S. citizen or national U.S. permanent resident (i.e. current Green Card holder) or lawfully admitted into the a refugee or granted asylum.

Background Check

• Required for all positions: Blues Standard Background Check
• Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation
• Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW) Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files Medical Certification (obtained before onboarding) Road Test Hours of Service Drug and Alcohol Testing vehicle inspection requirements CDL requirements (if applicable) and hazardous materials transportation/shipping training.
• Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential which includes pre-employment and random drug testing as well as DOT physical

Benefits

• Benefits include: Medical dental vision basic and supplemental life insurance paid parental leave short and long-term disability 401(k) with a company match of up to 5% and an Education Support Program.
• Stock Options for all regular employees (working at least 20 hours/week)
• Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours and up to 14 company-paid holidays.
• Dependent on role type and job level employees may be eligible for benefits and bonuses based on the companys intent to reward individual contributions and enable them to share in the companys results or other factors at the companys sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.

Equal Employment Opportunity

Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting retaining and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications performance and abilities. We support the establishment and maintenance of a workplace that fosters trust equality and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire promotion and other terms and conditions of employment regardless of their race color religion sex sexual orientation gender identity national origin/ethnicity age physical or mental disability genetic factors military/veteran status or any other status or characteristic protected by federal state and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal state and local laws including the Washington Fair Chance Act the California Fair Chance Act the Los Angeles Fair Chance in Hiring Ordinance and other applicable laws. For more information on Know Your Rights please see here.

Affirmative Action and Disability Accommodation

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