Enterprise Metrics Analyst F-35 - 1.6.23

Credence•Bath Township, OH

18h•Onsite

About The Position

Credence is seeking an Enterprise Metrics Analyst to support the F-35 Joint Program Office (JPO) at Wright Patterson Air Force Base, OH. The F-35 JPO manages the life-cycle program for the F-35 Lightning II variants (A, B, and C), overseeing development, delivery, and sustainment for U.S. and international partners. This role involves providing oversight and reporting on aircraft supply chain effectiveness, supporting strategy development, quality deficiency reporting, and performance metrics. The analyst will utilize logistics performance data to recommend and adjust supply levels, monitor consumption based on flight operations phases, track unique plus-ups, and enforce business rules for responsible asset issuance. The position also involves shaping item management strategies, developing and maintaining analytical methodologies, evolving tools with weapon system data, and ensuring metrics standards drive supply chain performance by holding PSPs accountable. Reporting and findings will support the adjudication of PSP or vendor performance data. Additionally, the role supports business management functions to determine the build, type, and configuration of DSP/ASP kits for unit deployments, analyzing requirements to ensure appropriate part mix and configuration, monitoring PSP progress, and identifying shortages for backfilling kits. The analyst will query and extract data from various DoD systems to improve product support strategies and provide expertise in statistical data analysis, modeling, simulation, optimization, and analytical capabilities to support the government in developing and implementing performance measures and metrics aligned with strategic plans, cost-effectiveness, and efficiencies. This includes maintaining existing measures, developing new ones, establishing business rules for data collection and metrics tools, and regularly reviewing business rules for relevancy. The role requires developing metrics, identifying data sources, determining data pull frequency, formats, calculations, and analyzing metric data. Statistical techniques will be used for lagging indicator analyses (e.g., SPC, trending, root cause analysis) to measure historical performance and review initiatives. Leading indicator analyses for time series will involve predictive forecasting techniques (e.g., moving average, exponential smoothing, regression, Box-Jenkins), applying forecasting tools for confidence levels, error margins, sensitivity analyses, what-if scenarios, hypothesis testing, and modeling/simulation.

Requirements

MA/MS and ten (10) years of relevant experience or
BA/BS and eighteen (18) years of relevant experience or
Twenty-two (22) years of relevant experience
Secret clearance or ability to obtain a Secret

Responsibilities

Provide oversight and reporting of aircraft supply chain effectiveness.
Support development of the strategy for supply chain requirements, oversee quality deficiency reporting and provide metrics and performance reporting.
Utilize metrics and analysis from logistics performance data to recommend initial supply levels, and adjust them as necessary, for all retail locations.
Monitor and track locations for different levels of consumption/use based phase of flight operations (qualification, training, deployment, etc.) for adjustments in base spares packages to ensure the parts that are needed are the parts that are available.
Track Service and partner unique plus ups to ensure stock levels are not adjusted to the point of encroaching on peculiar, funded requirements for retail supply levels.
Oversee and enforce business rules decided by the Enterprise to ensure assets are issued to using units/services/partners responsibly and transparently.
Shape item management strategies and procedures within supply chain support functions.
Develop, maintain, and utilize the algorithms and analytical methodologies for the supply chain management function.
Utilize inputs from across the enterprise to evolve current tools and incorporate them into weapon system and commodity demand/consumption data.
Safeguard metrics standards responsibly evolve to drive supply chain performance and behavior by holding PSPs accountable for the performance listed in their respective contracts.
Prepare reports and findings to support the adjudication of PSP or vendor performance data.
Support business management functions in order to determine the build, type and configuration of DSP/ASP kits needed for unit deployments.
Analyze requirements passed by deploying units to ensure the appropriate mix and configuration of parts are included based on the configurations of aircraft deploying.
Monitor the progress of PSPs to configure and deliver the DSP/ASP kit.
Determine any shortages within the DSP/ASP to ensure PSPs backfill the kits with the needed items of supply.
Query and extract data from systems used by the organization, warfighter, item managers, equipment specialists, and depot maintenance providers to develop strategies for improving product support.
Provide knowledge of statistical data analysis, modeling, simulation, optimization, and analytical capability to support the Government in developing and implementing standard, performance-management measures and metrics, including the methodology, to set targets and assess progress, with focus on the organization’s Strategic Plan (goals and objectives) or other Government directed areas, such as costs-effectiveness and efficiencies.
Conduct the maintenance of existing performance measures and metrics and the development, coordination, and implementation of new metrics and targets for the purpose of measuring performance across all business areas.
Routinely review and analyze existing business rules to ensure relevancy to the desired performance end state/target.
Develop metrics that include the development of performance measures, identification of data sources, determination of frequency of data pulls, determination of formats, documentation of calculations, and analysis of the metric data.
Use recognized statistical techniques and tools to accomplish lagging indicator analyses.
Use recognized statistical techniques and tools to accomplish leading indicator analyses for time series.
Apply forecasting techniques and tools to identify confidence levels and margins of error, sensitivity analyses, what-if analyses, hypothesis testing, and modeling and simulation to improve the metrics program forecasting and planning efforts.