Analytical Business Development Professional

Lone Star Analysis is a growing company offering applied decision intelligence and engineering solutions to enhance innovation, create economic strength, and make the world safer. Since 2004, organizations have trusted Lone Star to deliver actionable answers to complex problems in manufacturing, aerospace, defense, energy, logistics, transportation, and communications.

Position Overview

Lone Star's Analytical Business Development Professional position category, which includes a number of Science, Technology, and Engineering and Mathematics (STEM) roles as well as Intelligence, Competitive Intelligence, Operations Research and Management Sciences (OR/MS). Individual will collaborate on complex analytics and data modeling as well as develop new prospects and interacts with existing customers to increase sales of Lone Star's production, supply chain / logistics, maintenance, asset utilization, training, and business case analysis solutions. This position works with customers to identify what they want/need, create solutions, and ensure a smooth business development and engagement/sales process. This position is primarily focused on creating "make happen" opportunities, not responding to RFP's. A wide degree of creativity and latitude is expected.

This position requires the ability to sustain a security clearance. Security clearances may only be granted to U.S. Citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility for access to classified information.

Duties & Responsibilities

• Develop plans for assessments and discovery, within a disciplined process framework
• Support research to frame models and simulations for Lone Star clients and, for Lone Star
• Support research to develop inputs for models and simulations for clients and, for Lone Star
• Discovery and analysis across multiple disciplines and domains
• Working with Subject Matter Experts (SMEs), incorporate their knowledge framework in models
• Working with SMEs to incorporate their quantitative estimates in models
• Work in a probabilistic context
• Achieve assigned sales/business development targets based on corporate revenue growth goals
• Build and maintain healthy pipeline of "make happen" opportunities and manage opportunities from identification to closure
• Research, identify, engage and qualify new customers
• Collaborate with technical, Account Management, Marketing and Product Leadership to recommend new solutions
• Identify areas of improvement and implement positive change
• Build and maintain Lone Star's brand, establishing position in market
• Comply to disciplined processes and be aware of Conflicts of Interest (COI)
• Other duties as assigned

Key Requirements

• Collaboration and team based technology development, audits and peer reviews
• Documented success in securing "make happen" analytics solutions business in relevant defense organizations
• Ability to effectively understand and articulate value propositions for advanced data analytics
• Ability to travel to client sites
• Ability to work across a number of industries (Aerospace, Defense, Energy, Telecom, Technology, Training, Training Systems, and others as required)
• Familiarity with US military Operations Support
• Capability to hold a security clearance

Additional DesirableQualities

• Use of data bases, data base scripting, quires such as SQL, Power BI, Qlik Sense, etc.
• Integrating cross-domain factors into modeling, simulation, and decisions
• Familiarity with knowledge and data collection
• Technical skills in data acquisition (elicitation, facilitation, research)
• Proficiency in SME evaluation, recruitment, and elicitation
• Work well under pressure and with high degree of uncertainty
• Demonstrated experience negotiating agreements
• Exemplary written and verbal communication skills
• Excellent interpersonal, planning and organization skills

Expectations do not include

• All of the desirable attributes within a single candidate