{"id":4162348,"url":"https://alion.io/job/blue-origin-project-controls-data-analytics-ai-tools","title":"Project Controls Data Analytics & AI Tools","company":{"id":3698,"name":"Blue Origin","domain":"blueorigin.com","url":"https://alion.io/company/blueorigin","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":89,"open_postings":252,"ghost_share":0,"stale_share":0.448,"repost_share":0.004,"time_to_fill_p50_days":45,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130706,"max":182987,"currency":"USD","period":"year","gross":null,"usd_annual":182987},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Jira","optional":false},{"name":"LLM","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"EVMS","optional":true},{"name":"Spark","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-11-09T00:00:00Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-12T12:35:43Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Application close date:\nApplications 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!\nThis 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.\nThis 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.\nResponsibilities include but are not limited to:\nRequirements and architecture of the controls toolchain\nGather PE, finance and leadership needs and turn them into technical requirements for each data product and tool.\nMap 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.\nTest each tool against its requirements before release. Keep code, data models and AI agents under version control.\nLink 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).\nForecasting, risk and simulation models\nBuild and run Monte Carlo schedule and cost risk models on resource-loaded schedules, to set confidence levels for gate reviews and baselines.\nEstimate the schedule, cost and resource impact of proposed changes, so the PE can make the call with data.\nBuild estimating models from completed GSD projects for hours, cost and duration.\nControls data foundation\nBuild 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.\nDefine the controls data model: project, WBS, control account, work package, change, risk. Own its data dictionary and quality checks.\nFind and fix data-quality gaps at the source. Missing baselines, unmapped charge codes and stale schedule status are common examples.\nAnalytics and reporting\nBuild 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.\nAutomate the weekly status and variance review and the monthly forecast package, so PEs review and approve instead of compiling.\nBuild forecasting models for schedule slip, cost at completion and resource demand. Use history from completed projects to calibrate them.\nModel PE and IPT capacity against intake demand, to support accept, defer or decline decisions at intake.\nAI tools and automation\nDesign, 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.\nPut guardrails around every tool: human approval on anything that changes a baseline, logged sources for every generated number, and tests that catch regressions.\nMeasure each tool's effect in PE hours saved or cycle time cut, and retire tools that don't earn their keep.\nWork within ITAR and data-handling rules. Use only approved internal AI platforms and data boundaries.\nAdoption and standards\nWork directly with PEs, Systems Engineering, finance, procurement and site teams to find the highest-value manual work and automate it first.\nWrite the standards, runbooks and training that let PEs use the tools without help.\nPartner with enterprise IT, data and tool teams so GSD's tools build on company platforms instead of duplicating them.\nMinimum Qualifications\nBachelor'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).\n5+ 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.\nExperience turning business problems into technical requirements, and shipping a dashboard or data product that a team used to make decisions on a regular cadence.\nStrong SQL and Python. Experience building production data pipelines (ETL/ELT), not one-off analyses.\nData modeling experience (star schemas, snapshots, slowly changing dimensions) and a BI tool such as Power BI or Tableau.\nWorking knowledge of project controls: CPM scheduling, baselines and change control, cost and EVM metrics.\nHands-on experience building with LLMs or AI tooling: prompting, retrieval, tool or agent workflows, and evaluating their output.\nExperience with version control (Git).\nAbility to explain data and model limits plainly to engineers and leaders.\nMust 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.\nPreferred Qualifications\nMaster's degree in analytics, data science, statistics or a related field.\nExperience with Databricks or Spark, and with cloud data platforms (AWS or Azure).\nExperience with Primavera P6 or MS Project data structures, and with EVMS (EIA-748) reporting.\nExperience with engineering or PLM data (Windchill or similar, BOMs, engineering changes), or pulling ERP and Jira data through their APIs.\nMonte Carlo schedule risk analysis (SRA), time-series forecasting or discrete event simulation.\nCapital construction, launch, test or heavy-industrial project experience.\nBuilt an AI agent or automation that took a recurring manual task out of a team's week, with a measured result.\nSoftware engineering habits for data work: code review, automated tests, CI/CD.\nPMI-SP, AACE (PSP or EVP), PMP or a similar certification. This is not required.\nBase Pay Range for:\nWA applicants is $130,706.00 - $182,987.70Other site ranges may differ\nCulture Statement\nDon’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.\nExport Control Regulations\nApplicants 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.\nBackground Check\nRequired for all positions: Blue’s Standard Background Check\nRequired 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\nRequired 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.\nRequired 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\nBenefits\nBenefits 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.\nStock Options for all regular employees (working at least 20 hours/week)\nPaid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.\nDependent 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. \nEqual Employment Opportunity\nBlue 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.\nAffirmative Action and Disability Accommodation\nApplicants wishing to receive information on Blue Origin’s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at . Please note this is a publicly managed inbox. 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