Project Controls Data Analytics & AI Tools

Blue Origin; Washington; On-site; USD 131,000 - 183,000; Full time

Benefits offered by this job

Medical, dental, vision

Stock options

Paid time off

401(k) with company match

Education support program

Job summary

Blue Origin is seeking a skilled Project Controls Data Analytics & AI Tools professional to join the team in the Greater Seattle Area. You will own the controls data model, build data pipelines, dashboards, forecasting and AI agents for controls work across PLM, ERP, MRP, and scheduling systems.

You will partner with PEs, finance and leadership to translate needs into technical data products, ensure data quality, and drive data-driven decisions that reduce risk and improve project performance.

Qualifications

• Bachelor's degree in a quantitative or technical field or equivalent exp.
• 5+ years in project controls, BI or data analytics with at least 2 years building data products.
• Experience turning business problems into technical requirements and shipping dashboards.
• Strong SQL and Python; experience with ETL/ELT pipelines and data modeling.
• Working knowledge of CPM scheduling, baselines, change control, EVM metrics.

Responsibilities

• Gather needs from PE, finance and leadership and translate into technical requirements.
• Define data source truth across PLM, ERP, MRP, change tools, scheduling and analytics platform.
• Build and maintain data pipelines joining schedule, cost, labor, procurement, changes and risk.
• Create portfolio and project dashboards; automate weekly status and monthly forecast packages.
• Develop AI tools/agents with guardrails and track impact in PE hours saved.

Skills

SQL

Python

Data modeling

Requirements gathering

Communication

Education

Bachelor's degree in quantitative or technical field

Master's degree in analytics, data science or related field

Tools

Databricks

Spark

Git

Jira

Primavera P6 / MS Project

Power BI

Job description

Project Controls Data Analytics & AI Tools### Project Controls Data Analytics & AI ToolsApply: Greater Seattle Area: Space Coast, FL: Full time: Posted Today: R75166Application close date:Applications will be accepted on an ongoing basis until the requisition is closed.At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re 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! This role is part of Blue Origin Operations, which is comprised of Integrated Supply Chain, Test Operations, Safety, Quality, and Mission Assurance. This includes Manufacturing and Supply Chain support across all Blue Origin facilities.As part of a hardworking team of specialists, technicians, and engineers you will connect the systems that hold the project's 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 don't 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 tool's effect in PE hours saved or cycle time cut, and retire tools that don't 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 GSD's tools build on company platforms instead of duplicating them. **Minimum Qualifications*** Bachelor's 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*** Master's 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 team's 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:WA applicants is $130,706.00 - $182,987.70**Other site ranges may differ** **Culture Statement**Don’t 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 you’re excited about this role but your past experience doesn’t 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 U.S. as a refugee or granted asylum. **Background Check*** Required for all positions: Blue’s 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 10,001 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 company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.