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Company

LMI · 12 hours ago

Sustainment Analytics Subject Matter Expert

United States

Full-time

Remote

Mid, Senior Level

$120K/yr - $180K/yr

7+ years exp

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AnalyticsConsulting

Comp. & Benefits

No H1B

Security Clearance Required

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Responsibilities

Empower clients to optimize the utilization of data generated by systems across the entire lifespan of assets. This data, accumulated over time by the enterprise, can be harnessed to boost system performance and mitigate operational risks effectively.

Facilitate the adoption of data-driven techniques to include advanced analytics, AI/ML and modeling and simulation to enhance asset performance and reduce the total cost of ownership.

Assist in the creation, rollout, and ongoing management of sustainment analytics solutions, designed to elevate the effectiveness of sustainment operations.

Offer consultation services to clients seeking to improve their sustainment effectiveness through a range of approaches, including Asset Performance Management, Predictive and Prognostic Maintenance (PPMx), Predictive Logistics, Fleet Management, and Telematics.

Collaborate with senior government leaders and key stakeholders to effectively communicate and champion the importance of advancing sustainment analytics and the advantages of adopting these analytic practices.

Determine sustainment related emerging trends in AI/ML and assist markets in evaluating use cases and potential opportunities while offering solution development, capture, and proposal support.

Prepare and coordinate working papers, briefings, and other documentation in support of sustainment modernization initiatives.

Work with LMI’s innovation center to explore new technological advancements in sustainment to enhance our existing capabilities and create new ones, enabling us to stay relevant in the ever-evolving landscape of digitally enabled sustainment solutions.

Facilitate the development of Concepts of Operation (CONOPS) for diverse clients, such as those involving sensor data collection (i.e. IoT), to provide critical insights that will guide government decisions regarding the most suitable implementation strategies.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Sustainment AnalyticsData-Driven SolutionsArtificial IntelligenceMachine LearningPredictive LogisticsFleet ManagementData CollectionData CleansingAnalytical DevelopmentTechnical ManagementNatural Language ProcessingReliability AnalysisAsset Performance ManagementDigital TwinsAsset Lifecycle ManagementCross-Functional Collaboration

Required

Bachelor’s degree

More than 7 years of practical experience as a technical expert, consultant, or specialist, actively involved in the delivery of data driven digital services and solutions related to sustainment activities.

Demonstrated proficiency, extensive expertise, and practical hands-on experience in operations and sustainment, covering fleet management and sustainment support activities. This includes a strong background in technical management and leadership of technical teams, critical thinking, and a proven track record in the strategic planning and successful delivery of sustainment digital solutions.

Experience with a diverse array of sustainment data sources, encompassing maintenance, reliability, fleet management and asset data. Expertise in maintenance and operations data, which includes a strong background in data collection, data cleansing, analytical development, and communicating outputs.

Proven experience in the organization, planning, leadership, and management of technical teams, coupled with a track record of successfully collaborating with cross-functional teams.

Strong interpersonal, verbal, presentation and writing skills to successfully deliver briefings and interact with executive client leadership.

Ability to work independently and deliver high quality work under time constraints.

Availability to travel

Preferred

Master’s Degree

Experience supporting commercial clients by applying best practices and leveraging cutting-edge technologies to deliver data-driven digital services and solutions tailored to sustainment activities.

Understanding of deploying sustainment analytics at scale, including the development of strategies for extracting actionable insights from sustainment data through modeling techniques such as natural language processing, machine learning, and reliability analysis.

Subject matter expertise in the following domains: maintenance and reliability, asset reliability and availability, asset lifecycle management, digital twins, predictive analytics, and asset performance management.

Active or eligible for DOD Secret clearance