Senior Director of Finance Operations and Business Systems.

Senior Director, Finance Operations & Business Systems Salary Range $170K to $240K Role Overview Tiberius is seeking a Senior Director of Finance Operations & Business Systems to design, build, and operate the integrated data, planning, and decision-support infrastructure required to scale a distributed defense manufacturing business. This is not a traditional finance, IT, or business-operations position. It is a hybrid builder-operator role for a leader who can connect: Product development and engineering Program management Manufacturing and supply-chain operations Commercial demand and contract delivery Financial planning and analysis Enterprise data and business-intelligence systems The successful candidate will possess the financial modeling capabilities of an exceptional FP&A leader, the operating fluency of an experienced manufacturing and product-lifecycle executive, and the technical aptitude to architect data flows across internal and third-party systems. This individual will be responsible for creating the operating system through which Tiberius understands and manages the economic and operational performance of its global business. The role will report to the Chief Financial Officer or another designated executive leader and will work closely with Finance, Engineering, Product, Manufacturing, Supply Chain, Program Management, Business Development, Information Technology, and Tiberius’ distributed Defense-as-a-Service manufacturing partners. The Mission Tiberius develops products through a complex lifecycle: Concept development Research and development Engineering design Prototype development Qualification and testing Low-rate initial production Product-market and customer validation Contract award and production planning Manufacturing scale-up Delivery, sustainment, and lifecycle management Each stage generates different operational, technical, contractual, and financial information. At the same time, Tiberius operates through a distributed network of manufacturing partners that may use different enterprise resource planning, manufacturing execution, product lifecycle management, quality, supply-chain, and accounting systems. The Senior Director of Finance Operations & Business Systems will build the hub-and-spoke architecture that allows Tiberius to collect, normalize, reconcile, analyze, and act upon this information. The objective is to create a trusted, near-real-time view of: Product maturity Engineering progress Program cost Manufacturing readiness Supplier performance Material availability Production capacity Quality and yield Customer demand Contract obligations Delivery schedules Revenue recognition Working capital Product and program margins Capital requirements Enterprise risk The result must be more than a collection of dashboards. It must become a practical management system used by executives, program leaders, planners, engineers, operators, and finance professionals to run the business. Position Profile The ideal candidate is a hands-on senior leader who can move fluidly between architecture, analysis, implementation, and operations. This person must be able to: Design the target operating and data architecture. Translate business questions into data requirements. Work with IT and external partners to establish secure data connections. Build or direct the creation of ETL and data-transformation workflows. Create standardized operating definitions and data models. Integrate operational information into financial forecasts. Develop dashboards, planning models, and management reports. Diagnose operational and financial variances. Identify root causes and corrective actions. Establish repeatable operating cadences. Train business leaders to use the resulting systems. Continuously improve the architecture as the company scales. This is an individual leadership role with substantial cross-functional authority and influence. The successful candidate must be willing to remain close to the work and, where necessary, personally build models, workflows, reports, and prototypes. The role is not intended to function as: A CIO responsible for enterprise technology strategy and infrastructure A COO responsible for all company operations A controller focused primarily on accounting and financial close A traditional FP&A leader focused primarily on budgets and presentations A data engineer operating without commercial or financial accountability A business analyst who documents requirements but does not build or operate solutions It is a builder-architect-operator position at the intersection of these disciplines. Core Responsibilities 1. Design the Finance Operations Architecture Develop the end-to-end operating architecture connecting Tiberius’ product, manufacturing, commercial, and financial systems. Define: Systems of record Sources of operational and financial truth Data owners Data hierarchies Common identifiers Master-data requirements Integration methods Reporting layers Planning models Governance controls Update frequencies Exception-management processes Create a scalable architecture capable of supporting multiple products, programs, countries, manufacturing partners, suppliers, customers, and contractual structures. The architecture should provide a common information layer without requiring every partner to operate the same underlying systems. 2. Build the Partner Data Integration Model Design a repeatable process for integrating data from third-party manufacturers and supply-chain partners. Partners may operate different combinations of: ERP systems Manufacturing execution systems Material requirements planning systems Product lifecycle management systems Quality-management systems Warehouse-management systems Procurement platforms Accounting applications Custom databases Spreadsheets and manually maintained records Create a hub-and-spoke integration framework that can ingest partner data through methods such as: APIs Secure file transfers Database connections Structured exports Cloud data exchanges ETL and data-transformation tools Controlled spreadsheet templates Manual exception processes where automation is not initially practical Evaluate and deploy tools such as Alteryx or comparable ETL, integration, data-preparation, and workflow-automation platforms. Establish reusable onboarding standards so that new manufacturing partners can be connected efficiently without redesigning the entire system for each partner. 3. Establish Common Data Standards Create consistent definitions across Tiberius and its partner ecosystem. Standardize information including: Product and component identifiers Bills of material Work breakdown structures Program and project codes Engineering revisions Suppliers Purchase orders Manufacturing orders Units of measure Inventory classifications Production stages Quality events Labor categories Cost categories Contract milestones Delivery commitments Customer demand Financial periods Revenue and margin attribution Develop reconciliation and validation controls to identify incomplete, inconsistent, duplicate, stale, or conflicting data. Partner with IT, cybersecurity, legal, compliance, and program leadership to ensure that data-transfer methods meet applicable security, contractual, export-control, and access-control requirements. 4. Integrate Product Lifecycle and Engineering Data Work with Engineering, Product, and Program Management to connect product lifecycle management tools and engineering systems to the broader operational and financial architecture. Create visibility into: Product maturity Design status Engineering change activity Configuration baselines Bill-of-material maturity Prototype status Test plans Test completion Qualification progress Design-to-cost targets Technical risks Manufacturing-readiness levels Technology-readiness levels Release-to-production status Engineering resource consumption Translate product-development activity into financial and operational implications, including: Remaining development cost Prototype requirements Testing expenditures Capital-equipment needs Production-readiness dates Supplier commitments Unit-cost evolution Schedule risk Cash requirements 5. Build Manufacturing and Supply-Chain Intelligence Develop an integrated operating view across Tiberius’ distributed production network. Measure and monitor: Manufacturing capacity Capacity utilization Production plans Actual production Work in process Cycle time Lead time Throughput Yield Scrap Rework Downtime Supplier on-time delivery Material shortages Long-lead components Inventory availability Inventory turns Purchase-price variance Labor efficiency Overhead absorption Quality escapes Corrective actions Delivery performance Build models that connect these operating variables to: Unit economics Product margins Program margins Cash conversion Working-capital requirements Revenue timing Customer delivery Capital deployment Enterprise risk 6. Connect Demand, Contracts, and Production Integrate commercial demand signals from systems such as Salesforce with program, supply-chain, manufacturing, and financial planning. Create a demand hierarchy that distinguishes among: Early-stage opportunities Qualified pipeline Customer forecasts Requests for quotation Proposals Letters of intent Framework agreements Funded contracts Purchase orders Firm delivery schedules Option quantities Long-range demand scenarios Translate demand signals into: Capacity requirements Procurement plans Supplier reservations Labor plans Capital-equipment needs Production schedules Inventory strategies Revenue forecasts Cash forecasts Funding requirements Risk-adjusted scenarios Ensure that probabilities and assumptions are explicit, governed, and consistently applied. 7. Lead Integrated Business Planning Build and operate an integrated planning process that connects: Strategic planning Annual operating plans Rolling forecasts Program plans Engineering plans Demand plans Supply plans Production plans Workforce plans Capital plans Cash forecasts Develop scenario models that allow leadership to evaluate questions such as: What happens if a program is delayed? What happens if testing must be repeated? What happens if supplier lead times increase? What happens if a customer accelerates delivery? What capacity is required for a new contract? When must long-lead materials be ordered? How much working capital is required? What is the financial effect of changing manufacturing partners? What happens to margin at different production volumes? Which investment removes the most significant constraint? Which operating risk has the greatest financial exposure? Create a disciplined planning cadence that aligns Finance, Operations, Engineering, Programs, and Commercial leadership. 8. Develop Financial and Operational Models Build models that translate real-world operating activity into financial outcomes. Required modeling areas may include: Research and development spending Engineering labor Prototype cost Test cost Qualification cost Bill-of-material cost Supplier pricing Manufacturing labor Manufacturing overhead Tooling and nonrecurring engineering Capital expenditures Learning curves Production yields Scrap and rework Logistics costs Warranty and sustainment Program revenue Milestone billing Revenue recognition Cash collection Working capital Product contribution margin Program gross margin Partner economics Make-versus-buy analysis Capacity economics Long-range enterprise forecasting Models must be auditable, assumption-driven, operationally grounded, and capable of being updated through automated data feeds wherever practical. 9. Build Executive and Operator Decision Systems Develop role-specific dashboards and decision-support tools. Executive View Provide leadership with visibility into: Enterprise performance Product maturity Program health Contract delivery Revenue and bookings Cash and liquidity Manufacturing readiness Production capacity Supply-chain risk Product and program margins Strategic constraints Major exceptions requiring intervention Program and Operating View Provide program leaders and operators with visibility into: Schedule Cost Technical maturity Material readiness Production status Quality Delivery risk Staffing Forecast-to-complete Corrective actions Finance View Provide Finance with visibility into: Forecast accuracy Actual versus plan Cost-to-complete Revenue timing Margin movement Cash requirements Working capital Capital deployment Variance root causes Scenario outcomes The successful candidate must ensure that dashboards drive decisions and accountability rather than merely displaying information. 10. Create Root-Cause and Performance Management Processes Develop a management framework that goes beyond reporting variances. For material deviations, establish a process to identify: What changed? Where did it change? When did the change begin? Why did it occur? What is the operational effect? What is the financial effect? Is the issue temporary or structural? Who owns corrective action? What resources are required? When will the issue be resolved? How will recurrence be prevented? Establish exception thresholds, escalation procedures, corrective-action tracking, and management review cadences. 11. Operate and Continuously Improve the System The Senior Director will not simply design the architecture and hand it to another team. This individual will be accountable for operating and improving the system, including: Monitoring data quality Resolving integration failures Refining business rules Updating planning assumptions Improving dashboards Adding new partners and data sources Automating manual processes Eliminating duplicate reporting Shortening reporting cycles Training users Measuring adoption Ensuring that outputs remain trusted and actionable The role should progressively build a small, high-performing Finance Operations capability as business scale requires. Initial Priorities During the first 12 months, the Senior Director will be expected to: First 90 Days Map the current product, program, manufacturing, commercial, finance, and data environment. Identify existing systems, spreadsheets, data owners, interfaces, and reporting processes. Document critical data gaps and conflicting definitions. Define the target Finance Operations architecture. Identify the highest-value initial use cases. Recommend the ETL, integration, BI, and planning tool stack. Establish a common product, program, partner, and financial hierarchy. Develop a phased implementation roadmap. Months 3–6 Build the first partner-data integration pipelines. Establish standardized partner-data templates and onboarding requirements. Integrate initial Salesforce demand data with financial and capacity planning. Connect core product lifecycle and program information. Launch an initial executive operating dashboard. Build integrated program cost and forecast-to-complete models. Introduce data-quality and reconciliation controls. Establish monthly operating and forecast-review cadences. Months 6–12 Expand integration across manufacturing and supply-chain partners. Automate key operational and financial workflows. Build product and program unit-economics models. Implement capacity, demand, and production scenario planning. Develop working-capital and cash-conversion forecasting. Provide end-to-end visibility from commercial demand through delivery. Establish a repeatable integration model for new products and partners. Deliver a scalable Finance Operations roadmap for the following 24 months. Required Qualifications Candidates should possess most of the following: Ten or more years of progressive experience across finance, business operations, manufacturing operations, program finance, business systems, analytics, or related disciplines. Significant experience in a senior FP&A, operational finance, program finance, business operations, or finance-transformation role. Direct experience with physical-product development and manufacturing. Strong understanding of the product lifecycle from concept and research through prototype, qualification, low-rate production, scale manufacturing, delivery, and sustainment. Demonstrated ability to build complex financial and operational models. Experience integrating information from multiple enterprise systems. Hands-on experience with ETL, data-preparation, or workflow-automation tools such as Alteryx, Informatica, Matillion, Talend, Fivetran, dbt, Microsoft Fabric, Azure Data Factory, or comparable platforms. Experience with business-intelligence tools such as Power BI, Tableau, Looker, or comparable platforms. Advanced proficiency in Excel and financial modeling. Working understanding of ERP, MRP, MES, PLM, CRM, and quality-management systems. Experience creating common data definitions and master-data standards. Ability to work with APIs, structured files, databases, and data warehouses at a functional or hands-on level. Demonstrated ability to translate ambiguous business requirements into working systems and management processes. Strong understanding of manufacturing economics, inventory, working capital, cost accounting, unit economics, and margin analysis. Experience building dashboards and decision-support tools for both executives and operating teams. Ability to communicate effectively with engineers, operators, finance professionals, data teams, executives, and external partners. Demonstrated record of personally building solutions rather than relying entirely on consultants or technical teams. Preferred Qualifications Experience in aerospace, defense, advanced manufacturing, automotive, industrial technology, robotics, electronics, energy, or another complex engineered-product environment. Experience with government contracts, long-term programs, milestone billing, or regulated industries. Experience working with outsourced manufacturing, contract manufacturers, joint ventures, or distributed partner networks. Familiarity with earned-value concepts, program cost controls, cost-to-complete analysis, and schedule-performance measurement. Experience integrating Salesforce with operational and financial planning. Experience with modern data warehouses or lakehouse architectures. Familiarity with SQL, Python, data modeling, or data transformation logic. Experience establishing integrated business planning or sales and operations planning processes. Experience supporting rapid scale from prototype or low-rate production into high-volume manufacturing. Experience operating in an international or multi-entity environment. MBA, finance, accounting, engineering, operations, data, or related advanced degree. Equal Opportunity Statement Tiberius Aerospace Inc. is an Equal Opportunity employer. The Company maintains policies and practices that are designed to prevent discrimination or harassment against any qualified applicant or employee to the extent prohibited by federal, state and local laws and regulations. By way of example, discrimination on the basis of race, ethnicity, color, religion, ancestry, national origin, citizenship, sex, age, marital status, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other characteristic protected by applicable law is prohibited. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or need an alternative method for applying, you may contact sbrown@tiberius.com for assistance. Tiberius Aerospace Inc. participates in E-Verify and will provide the federal government with your I-9 Form information to confirm that you are authorized to work in the U.S. Steve Brown Recruiter Tiberius 760 877 3135 sbrown@tiberius.com https://www.linkedin.com/in/stevembrown/