Job Title Business Development Director Location Herndon, VA 20170 US (Primary) Category Sales Job Type Full-time Career Level Experienced (Non-Manager) Education Bachelor's Degree Travel Up to 25% Security Clearance Required Ability to obtain and maintain a U.S. Security Clearance Job Description Founded in 1990, award winning AFG Group, Inc. provides a full range of program, project, and construction management services to our clients - from project planning, definition, design, and construction, through commissioning, relocation, and move-in. Recognized as an ENR Top 100 CM Firm, AFG's portfolio includes the Department of Defense (DoD), General Services Administration (GSA), National Institutes of Health (NIH), Department of Veterans Affairs (VA), and various state/local agencies served through AFG's nationwide offices and locations. Business Development Director AFG is seeking an experienced, collaborative, and strategically focused Business Development Director across major design and construction programs for Federal & Public Agencies, Healthcare & Laboratories, Transportation, Courts & Criminal Justice, and Education markets. The successful candidate will have proven experience targeting and cultivating strategic business relationships, exceeding assigned objectives, and developing and executing 5-year growth plans. This role requires the strategic and tactical development of opportunity pipelines, contract vehicles, revenue development plans, and support of and coordination with a seller-doer network of senior program and project managers. Location and Reporting: While this is a remote position personnel should be located within the Virginia, Maryland, or Washington, DC metropolitan area Position reports directly to the Senior Vice President-National Sales and Growth Position collaborates with embedded operational BD technical staff (doers/sellers) in each division/office (doers/sellers) for expansion of existing client markets Position leads BD efforts for capturing new clients and contracts. Local and long-distance travel throughout the Eastern United States will be required as necessary to meet assigned objectives. This includes areas generally considered outside of the Eastern Region if client headquarters are located elsewhere. Duties: Develop 5-year and Annual Growth plans for each office and division within AFG, concentrating on opportunities located within the Eastern Region of the U.S. Function as client facing business development lead to promote company, cultivate relationships, analyzes existing and anticipated client needs in partnership with operational staff. Expand business with current clients, and seek, create, and win new opportunities. Strategize on win themes to align with customers' critical needs. Develop an opportunity pursuit plan and lead tactical planning sessions with core support team Convert Strategic growth initiatives into tactical pursuit action plans that prepare and preposition the Company for the win. Uncover actionable intelligence that enables the company to pre-position as a trusted advisor and subject matter expert with opportunity stakeholders and decision makers. Plan and participate in Business Development (BD) activities, to include opportunity gate reviews, black hat sessions, collaboration and workshop sessions, and proposal reviews Lead competitive assessments, teaming, and price-to-win efforts Develop white papers, RFI responses, and proposals as assigned Conduct proposal Pink, Red and White Team assessments for their prospects Brief Business Development status to senior management Conduct postmortem reviews on losses to document lessons learned and identify necessary adjustments to capture technique, strategy, and actions Mentor Project and Program Directors in business development, pursuit, capture strategies and tactical plan development. Cooperate with and lead matrixed teams in a virtual environment to achieve growth goals Job Requirements Exemplify company values and culture, being a team player and conducting oneself with high professional ethics Ability to operate office equipment such as personal computer, printer, copy machine, telephone, fax machine, desk supplies and other work related tools Ability to use computer programs (Deltek Vision, etc.), virtual meeting applications, social media sites like LinkedIn, MS Office suite including PowerPoint, Outlook, etc. Have clear, concise, and accurate professional communications skills, both verbal and written. Ability to lead and cooperate with teams of varying disciplines and levels of experience. Apply capture planning processes and best practices consistently. Minimum Qualifications Bachelor's Degree with at least 10 years' business development within the AEC industry Professional certifications such as Registered Architect (RA), Certified Construction Manager (CCM), Professional Engineer (PE) preferred 5 years' working on Federal Sector business development programs, A proven examples of successful capture management, Ability to obtain Security Clearance required; Active Secret clearance is preferred, Technical writing and proposal development experience Strong verbal communication skills and prior experience briefing executives Physical and Environmental Demands Constantly Communicating with others to exchange information, Constantly Assessing the accuracy, neatness and thoroughness of the work assigned, Occasionally moving self in different positions to accomplish tasks in various environments, Occasionally remaining in a stationary position, often standing, or sitting for prolonged periods, Occasionally moving about to accomplish tasks or moving from one location to another, Occasionally adjusting or moving objects up to 20 pounds in all directions Rarely Low temperatures Rarely High temperatures Rarely Outdoor elements such as precipitation and wind Rarely Noisy environments Benefits As an employee, you could be eligible for: Competitive Industry Pay Paid Time Off and Holidays Flex Time Bonus plans Professional Learning and Membership Incentives Health, Dental, and Vision Plans 100% Company-Paid Disability & Group Life Flexible Spending Accounts 401K with Employer Match New Parent Leave Relocation Assistance Pre-tax Commuter Benefits Qualified applicants at AFG Group, Inc. must be U.S. citizens or lawful permanent residents and must meet client security requirements. Positions requiring security clearance are open to U.S. citizens only. AFG Group, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin. Salary Range 120-140k We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law.
09/10/2026
Full time
Job Title Business Development Director Location Herndon, VA 20170 US (Primary) Category Sales Job Type Full-time Career Level Experienced (Non-Manager) Education Bachelor's Degree Travel Up to 25% Security Clearance Required Ability to obtain and maintain a U.S. Security Clearance Job Description Founded in 1990, award winning AFG Group, Inc. provides a full range of program, project, and construction management services to our clients - from project planning, definition, design, and construction, through commissioning, relocation, and move-in. Recognized as an ENR Top 100 CM Firm, AFG's portfolio includes the Department of Defense (DoD), General Services Administration (GSA), National Institutes of Health (NIH), Department of Veterans Affairs (VA), and various state/local agencies served through AFG's nationwide offices and locations. Business Development Director AFG is seeking an experienced, collaborative, and strategically focused Business Development Director across major design and construction programs for Federal & Public Agencies, Healthcare & Laboratories, Transportation, Courts & Criminal Justice, and Education markets. The successful candidate will have proven experience targeting and cultivating strategic business relationships, exceeding assigned objectives, and developing and executing 5-year growth plans. This role requires the strategic and tactical development of opportunity pipelines, contract vehicles, revenue development plans, and support of and coordination with a seller-doer network of senior program and project managers. Location and Reporting: While this is a remote position personnel should be located within the Virginia, Maryland, or Washington, DC metropolitan area Position reports directly to the Senior Vice President-National Sales and Growth Position collaborates with embedded operational BD technical staff (doers/sellers) in each division/office (doers/sellers) for expansion of existing client markets Position leads BD efforts for capturing new clients and contracts. Local and long-distance travel throughout the Eastern United States will be required as necessary to meet assigned objectives. This includes areas generally considered outside of the Eastern Region if client headquarters are located elsewhere. Duties: Develop 5-year and Annual Growth plans for each office and division within AFG, concentrating on opportunities located within the Eastern Region of the U.S. Function as client facing business development lead to promote company, cultivate relationships, analyzes existing and anticipated client needs in partnership with operational staff. Expand business with current clients, and seek, create, and win new opportunities. Strategize on win themes to align with customers' critical needs. Develop an opportunity pursuit plan and lead tactical planning sessions with core support team Convert Strategic growth initiatives into tactical pursuit action plans that prepare and preposition the Company for the win. Uncover actionable intelligence that enables the company to pre-position as a trusted advisor and subject matter expert with opportunity stakeholders and decision makers. Plan and participate in Business Development (BD) activities, to include opportunity gate reviews, black hat sessions, collaboration and workshop sessions, and proposal reviews Lead competitive assessments, teaming, and price-to-win efforts Develop white papers, RFI responses, and proposals as assigned Conduct proposal Pink, Red and White Team assessments for their prospects Brief Business Development status to senior management Conduct postmortem reviews on losses to document lessons learned and identify necessary adjustments to capture technique, strategy, and actions Mentor Project and Program Directors in business development, pursuit, capture strategies and tactical plan development. Cooperate with and lead matrixed teams in a virtual environment to achieve growth goals Job Requirements Exemplify company values and culture, being a team player and conducting oneself with high professional ethics Ability to operate office equipment such as personal computer, printer, copy machine, telephone, fax machine, desk supplies and other work related tools Ability to use computer programs (Deltek Vision, etc.), virtual meeting applications, social media sites like LinkedIn, MS Office suite including PowerPoint, Outlook, etc. Have clear, concise, and accurate professional communications skills, both verbal and written. Ability to lead and cooperate with teams of varying disciplines and levels of experience. Apply capture planning processes and best practices consistently. Minimum Qualifications Bachelor's Degree with at least 10 years' business development within the AEC industry Professional certifications such as Registered Architect (RA), Certified Construction Manager (CCM), Professional Engineer (PE) preferred 5 years' working on Federal Sector business development programs, A proven examples of successful capture management, Ability to obtain Security Clearance required; Active Secret clearance is preferred, Technical writing and proposal development experience Strong verbal communication skills and prior experience briefing executives Physical and Environmental Demands Constantly Communicating with others to exchange information, Constantly Assessing the accuracy, neatness and thoroughness of the work assigned, Occasionally moving self in different positions to accomplish tasks in various environments, Occasionally remaining in a stationary position, often standing, or sitting for prolonged periods, Occasionally moving about to accomplish tasks or moving from one location to another, Occasionally adjusting or moving objects up to 20 pounds in all directions Rarely Low temperatures Rarely High temperatures Rarely Outdoor elements such as precipitation and wind Rarely Noisy environments Benefits As an employee, you could be eligible for: Competitive Industry Pay Paid Time Off and Holidays Flex Time Bonus plans Professional Learning and Membership Incentives Health, Dental, and Vision Plans 100% Company-Paid Disability & Group Life Flexible Spending Accounts 401K with Employer Match New Parent Leave Relocation Assistance Pre-tax Commuter Benefits Qualified applicants at AFG Group, Inc. must be U.S. citizens or lawful permanent residents and must meet client security requirements. Positions requiring security clearance are open to U.S. citizens only. AFG Group, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin. Salary Range 120-140k We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law.
Remote or hybrid or in office Lone Tree, CO Remote Full time R SNC can only hire in these states: AL, AK, AZ, CA, CO, FL, GA, HI, ID, IL, IN, KS, KY, LA, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NC, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WV, WI. Sierra Nevada Company (SNC) is seeking a Senior Business Development Manager - Cyber to lead commercial growth for SNC Defensible Security, our defense-grade Security Operations Center-as-a-Service (SOCaaS) offering. Defensible Security delivers fully compliant, U.S.-based, U.S. Persons-only, 24x7 cybersecurity monitoring, alerting, and response purpose-built for the Defense Industrial Base (DIB) and federally regulated organizations. This role is the anchor leadership hire for Defensible's commercial go to market (GTM) motion - responsible for shaping and executing the strategy required to convert a substantial market opportunity into a scaled cybersecurity business. This senior commercial leader will build the pipeline, advance opportunities to close, grow the partner ecosystem, strengthen brand presence, and establish the operating discipline and team needed to drive Defensible Security's long term growth. The Cybersecurity Maturity Model Certification (CMMC) compliance wave is accelerating ahead of the formal Department of Defense (DoD) enforcement calendar, with prime contractors already imposing requirements across their supply chains. SNC's defense heritage, cleared status, and trusted security reputation position Defensible to win where heritage and compliance matter most. The Senior Business Development Manager will help drive the strategy and execution that captures this demand across priority customer cohorts. While Defensible Security is the primary focus, the role's scope spans SNC's commercial cyber portfolio, positioning the company to extend the same GTM motion to adjacent cyber offerings over time. The ISR (Intelligence, Surveillance & Reconnaissance), Aviation, and Security (IAS) business area is a leader in ISR and aviation, it is a leading prime manned and unmanned aircraft systems integrator for innovative, high-performance ISR and aviation systems. Its end-to-end Command, Control, Computers, Communications and Intelligence, Surveillance & Reconnaissance (C4ISR) capabilities encompass design, integration, test, certification, ground/flight training and complete logistics support. IAS tailors solutions to customer cost, performance, and schedule requirements and designs to consistently exceed expectations - with an unrivaled record of on time and on (or under) budget deliveries. Responsibilities: Own commercial GTM strategy. Define and execute the go-to-market strategy for Defensible Security across priority DIB and regulated-commercial cohorts, translating market opportunities into a prioritized pipeline and a credible bookings forecast. Drive revenue and pipeline. Carry the most senior selling responsibility directly - prospecting, qualifying, advancing, and closing opportunities - while building the demand-generation engine that produces marketing-sourced pipeline. Engage prime contractors and the DIB. Build executive relationships across prime contractors, defense manufacturers, the Intelligence Community, and cleared subcontractors, positioning Defensible as the trusted compliance-aligned cybersecurity partner. Build the partner and channel ecosystem. Develop and manage Managed Service Provider (MSP) / Managed Security Service Provider (MSSP), prime contractor, cloud, and advisory partnerships, including channel programs that unlock the SMB and mid-market DIB segments. Capitalize on the CMMC demand wave. Align messaging, offers, and partner motions to CMMC Phase 2/3 timelines and prime-driven flow-down requirements, ensuring Defensible is present before customers make their selections. Stand up GTM operating discipline. Establish forecasting cadence, pipeline analytics, operational dashboards, and GTM playbooks that improve predictability and execution velocity, and monitor the competitive landscape and customer needs to sharpen positioning - in partnership with the Director, Cybersecurity who owns pricing, cost, and performance models. Shape brand and demand generation. Direct marketing, content, events, and account-based marketing programs - working with shared SNC marketing and corporate communications and external agencies - to build awareness and a market-leading commercial cyber brand. Build and lead the team. Recruit, structure, and lead the dedicated Defensible commercial organization (marketing, partnerships, and sales) as the business scales through phased, milestone-gated investment. Represent SNC externally. Serve as a public face for Defensible through executive briefings, conferences, webinars, and industry working groups. Qualifications You Must Have: Bachelor's degree in Business, Marketing, Engineering, or a related field. 11+ years of experience in business development, sales, or a related field. Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 15 years of related experience is required. Higher level relevant degree may substitute for experience. Advanced knowledge of US Department of Defense Military programs, Foreign Military Sales, and acquisition procedure. Ability to understand, analyze customer requirements and operations concepts and interpret, translate, and explain detailed technical ideas to a technical and non-technical audience. Progressive experience with technical marketing, proposal development, and program management or engineering design. Excellent written and oral communication skills and the ability to motivate/work with others. Mastery of Microsoft Office Suite. Substantial track record selling cybersecurity, managed security, compliance, or technology solutions. Proven success building partner and channel ecosystems (MSP/MSSP, prime contractor, cloud, or advisory) to expand indirect revenue. Experience developing account plans and capture plans for new business opportunities. Demonstrated ability to work with senior business and government leaders and to provide leadership within the workplace. Exceptional leadership, communication, and strategic planning skills. Working knowledge of the CMMC / Controlled Unclassified Information (CUI) compliance landscape and the Defense Industrial Base. Exceptional leadership, communication, and strategic planning skills. Availability to travel monthly for conferences, customer, and partner engagements. Ability to obtain and maintain a Secret U.S. Security Clearance; U.S. citizenship is required. Qualifications We Prefer: Direct leadership of a CMMC go-to-market program, or deep, hands-on involvement in the CMMC ecosystem since its inception. Experience marketing and selling SOCaaS, MSSP, or regulated/secure cloud offerings to defense and federally regulated customers. Established relationships across prime contractors, the DIB, federal stakeholders, and relevant industry associations or standards bodies. Experience scaling a cybersecurity revenue portfolio and building high-performing GTM organizations. Cyber AB Registered Practitioner (RP), Certified CMMC Professional (CCP/CCA), CISSP, or comparable industry credentials (held or in progress). Recognized thought leadership - speaking engagements, executive briefings, and industry committee participation. Familiarity with marketing-automation and sales-intelligence platforms (e.g., HubSpot/Marketo, 6sense, ZoomInfo) and analyst insights to inform strategy. Exposure to proposal coordination to ensure proposals are staffed and supported to achieve success. Essential Functions: Ability to sit at a desk and work on a computer for extended periods. Regular use of hand/finger dexterity for typing and writing. Ability to travel is required. Capability to work in an office or hybrid environment. This posting will be open for application for a minimum of 5 days and may be extended based on business needs. Estimated Starting Salary Range: $165,010.21 - $226,889.04. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. SNC offers annual incentive pay based upon performance that is commensurate with the level of the position. SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more () . IMPORTANT NOTICE: This position requires the ability to obtain and maintain a Secret U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. citizens may not be eligible to obtain a security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance eligibility process for industry applicants . click apply for full job details
09/10/2026
Full time
Remote or hybrid or in office Lone Tree, CO Remote Full time R SNC can only hire in these states: AL, AK, AZ, CA, CO, FL, GA, HI, ID, IL, IN, KS, KY, LA, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NC, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WV, WI. Sierra Nevada Company (SNC) is seeking a Senior Business Development Manager - Cyber to lead commercial growth for SNC Defensible Security, our defense-grade Security Operations Center-as-a-Service (SOCaaS) offering. Defensible Security delivers fully compliant, U.S.-based, U.S. Persons-only, 24x7 cybersecurity monitoring, alerting, and response purpose-built for the Defense Industrial Base (DIB) and federally regulated organizations. This role is the anchor leadership hire for Defensible's commercial go to market (GTM) motion - responsible for shaping and executing the strategy required to convert a substantial market opportunity into a scaled cybersecurity business. This senior commercial leader will build the pipeline, advance opportunities to close, grow the partner ecosystem, strengthen brand presence, and establish the operating discipline and team needed to drive Defensible Security's long term growth. The Cybersecurity Maturity Model Certification (CMMC) compliance wave is accelerating ahead of the formal Department of Defense (DoD) enforcement calendar, with prime contractors already imposing requirements across their supply chains. SNC's defense heritage, cleared status, and trusted security reputation position Defensible to win where heritage and compliance matter most. The Senior Business Development Manager will help drive the strategy and execution that captures this demand across priority customer cohorts. While Defensible Security is the primary focus, the role's scope spans SNC's commercial cyber portfolio, positioning the company to extend the same GTM motion to adjacent cyber offerings over time. The ISR (Intelligence, Surveillance & Reconnaissance), Aviation, and Security (IAS) business area is a leader in ISR and aviation, it is a leading prime manned and unmanned aircraft systems integrator for innovative, high-performance ISR and aviation systems. Its end-to-end Command, Control, Computers, Communications and Intelligence, Surveillance & Reconnaissance (C4ISR) capabilities encompass design, integration, test, certification, ground/flight training and complete logistics support. IAS tailors solutions to customer cost, performance, and schedule requirements and designs to consistently exceed expectations - with an unrivaled record of on time and on (or under) budget deliveries. Responsibilities: Own commercial GTM strategy. Define and execute the go-to-market strategy for Defensible Security across priority DIB and regulated-commercial cohorts, translating market opportunities into a prioritized pipeline and a credible bookings forecast. Drive revenue and pipeline. Carry the most senior selling responsibility directly - prospecting, qualifying, advancing, and closing opportunities - while building the demand-generation engine that produces marketing-sourced pipeline. Engage prime contractors and the DIB. Build executive relationships across prime contractors, defense manufacturers, the Intelligence Community, and cleared subcontractors, positioning Defensible as the trusted compliance-aligned cybersecurity partner. Build the partner and channel ecosystem. Develop and manage Managed Service Provider (MSP) / Managed Security Service Provider (MSSP), prime contractor, cloud, and advisory partnerships, including channel programs that unlock the SMB and mid-market DIB segments. Capitalize on the CMMC demand wave. Align messaging, offers, and partner motions to CMMC Phase 2/3 timelines and prime-driven flow-down requirements, ensuring Defensible is present before customers make their selections. Stand up GTM operating discipline. Establish forecasting cadence, pipeline analytics, operational dashboards, and GTM playbooks that improve predictability and execution velocity, and monitor the competitive landscape and customer needs to sharpen positioning - in partnership with the Director, Cybersecurity who owns pricing, cost, and performance models. Shape brand and demand generation. Direct marketing, content, events, and account-based marketing programs - working with shared SNC marketing and corporate communications and external agencies - to build awareness and a market-leading commercial cyber brand. Build and lead the team. Recruit, structure, and lead the dedicated Defensible commercial organization (marketing, partnerships, and sales) as the business scales through phased, milestone-gated investment. Represent SNC externally. Serve as a public face for Defensible through executive briefings, conferences, webinars, and industry working groups. Qualifications You Must Have: Bachelor's degree in Business, Marketing, Engineering, or a related field. 11+ years of experience in business development, sales, or a related field. Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 15 years of related experience is required. Higher level relevant degree may substitute for experience. Advanced knowledge of US Department of Defense Military programs, Foreign Military Sales, and acquisition procedure. Ability to understand, analyze customer requirements and operations concepts and interpret, translate, and explain detailed technical ideas to a technical and non-technical audience. Progressive experience with technical marketing, proposal development, and program management or engineering design. Excellent written and oral communication skills and the ability to motivate/work with others. Mastery of Microsoft Office Suite. Substantial track record selling cybersecurity, managed security, compliance, or technology solutions. Proven success building partner and channel ecosystems (MSP/MSSP, prime contractor, cloud, or advisory) to expand indirect revenue. Experience developing account plans and capture plans for new business opportunities. Demonstrated ability to work with senior business and government leaders and to provide leadership within the workplace. Exceptional leadership, communication, and strategic planning skills. Working knowledge of the CMMC / Controlled Unclassified Information (CUI) compliance landscape and the Defense Industrial Base. Exceptional leadership, communication, and strategic planning skills. Availability to travel monthly for conferences, customer, and partner engagements. Ability to obtain and maintain a Secret U.S. Security Clearance; U.S. citizenship is required. Qualifications We Prefer: Direct leadership of a CMMC go-to-market program, or deep, hands-on involvement in the CMMC ecosystem since its inception. Experience marketing and selling SOCaaS, MSSP, or regulated/secure cloud offerings to defense and federally regulated customers. Established relationships across prime contractors, the DIB, federal stakeholders, and relevant industry associations or standards bodies. Experience scaling a cybersecurity revenue portfolio and building high-performing GTM organizations. Cyber AB Registered Practitioner (RP), Certified CMMC Professional (CCP/CCA), CISSP, or comparable industry credentials (held or in progress). Recognized thought leadership - speaking engagements, executive briefings, and industry committee participation. Familiarity with marketing-automation and sales-intelligence platforms (e.g., HubSpot/Marketo, 6sense, ZoomInfo) and analyst insights to inform strategy. Exposure to proposal coordination to ensure proposals are staffed and supported to achieve success. Essential Functions: Ability to sit at a desk and work on a computer for extended periods. Regular use of hand/finger dexterity for typing and writing. Ability to travel is required. Capability to work in an office or hybrid environment. This posting will be open for application for a minimum of 5 days and may be extended based on business needs. Estimated Starting Salary Range: $165,010.21 - $226,889.04. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. SNC offers annual incentive pay based upon performance that is commensurate with the level of the position. SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more () . IMPORTANT NOTICE: This position requires the ability to obtain and maintain a Secret U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. citizens may not be eligible to obtain a security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance eligibility process for industry applicants . click apply for full job details
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is not available for this position. Job Description The Lead Graph Data Scientist - Identity Analytics is responsible for development and implementing quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first-party/synthetic fraud. These solutions range from machine learning model development to enterprise deployment of graph analytics capabilities that protect USAA and our Members from these threats. Strong candidates will be able to deliver the following work products and processes: Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and reduce negative member experience from fraud applications, synthetic fraud, and account takeover attempts Closely partner with the Strategy team, Director of Fraud Identity Analytics, Director of Fraud Model Management, and model users on model builds and priorities. Partner with Technology and other key collaborators to deploy a Member Protection graph technology strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims, and AML, improving fraud detection and loss mitigation Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance Exports insights to decision systems to enable better fraud targeting and model development efforts Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks Develops and mentors junior staff, establishing a culture of R&D to augment the day-to-day aspects of the job What you'll do: Gathers, interprets, and manipulates sophisticated structured and unstructured data to enable sophisticated analytical solutions for the business. Leads and conducts sophisticated analytics demonstrating machine learning, simulation, and optimization to deliver business insights and achieve business objectives. Guides the team selecting the appropriate modeling technique and/or technology with consideration for data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences. Partners with business leaders from across the organization to proactively identify business needs and propose/recommend analytical and modeling projects to generate business value. Works with business and analytics leaders to prioritize analytics and highly sophisticated modeling problems/research initiatives. Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code to ensure model development and research efforts are transparent and based on highest-quality data. Assists the team with translating business request(s) into specific analytical questions, implementing analysis and/or modeling, and communicating outcomes to non-technical business colleagues with a focus on business action and recommendations. Manages project portfolio milestones, risks, and impediments. Anticipates potential issues that could limit project success or implementation and escalates as needed. Establishes and maintains standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Interacts with internal and external peers and management to maintain expertise and awareness of leading techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to data scientists in modeling, analytics, computer science, business acumen, and other interpersonal skills. Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 8 years of experience in predictive analytics or data analysis 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted languages (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Expert ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Project management experience that demonstrates the ability to anticipate and appropriately manage project milestones, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation. Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, nearest-neighbors algorithms, DBSCAN, etc. Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building. Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science. A strong track record of communicating results, insights, and technical solutions to senior executive management (or equivalent). Extensive technical skills, consulting experience, and business savvy to collaborate with all levels and subject areas within the organization. What sets you apart: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Over 5 years of experience with model development or other advanced fraud detection algorithms Over 4 years of experience with graph databases and graph solutions Experience in fraud/financial crimes model development Compensation: The salary range for this position is: $164,780 - $314,960. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. . click apply for full job details
09/06/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is not available for this position. Job Description The Lead Graph Data Scientist - Identity Analytics is responsible for development and implementing quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first-party/synthetic fraud. These solutions range from machine learning model development to enterprise deployment of graph analytics capabilities that protect USAA and our Members from these threats. Strong candidates will be able to deliver the following work products and processes: Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and reduce negative member experience from fraud applications, synthetic fraud, and account takeover attempts Closely partner with the Strategy team, Director of Fraud Identity Analytics, Director of Fraud Model Management, and model users on model builds and priorities. Partner with Technology and other key collaborators to deploy a Member Protection graph technology strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims, and AML, improving fraud detection and loss mitigation Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance Exports insights to decision systems to enable better fraud targeting and model development efforts Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks Develops and mentors junior staff, establishing a culture of R&D to augment the day-to-day aspects of the job What you'll do: Gathers, interprets, and manipulates sophisticated structured and unstructured data to enable sophisticated analytical solutions for the business. Leads and conducts sophisticated analytics demonstrating machine learning, simulation, and optimization to deliver business insights and achieve business objectives. Guides the team selecting the appropriate modeling technique and/or technology with consideration for data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences. Partners with business leaders from across the organization to proactively identify business needs and propose/recommend analytical and modeling projects to generate business value. Works with business and analytics leaders to prioritize analytics and highly sophisticated modeling problems/research initiatives. Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code to ensure model development and research efforts are transparent and based on highest-quality data. Assists the team with translating business request(s) into specific analytical questions, implementing analysis and/or modeling, and communicating outcomes to non-technical business colleagues with a focus on business action and recommendations. Manages project portfolio milestones, risks, and impediments. Anticipates potential issues that could limit project success or implementation and escalates as needed. Establishes and maintains standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Interacts with internal and external peers and management to maintain expertise and awareness of leading techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to data scientists in modeling, analytics, computer science, business acumen, and other interpersonal skills. Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 8 years of experience in predictive analytics or data analysis 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted languages (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Expert ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Project management experience that demonstrates the ability to anticipate and appropriately manage project milestones, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation. Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, nearest-neighbors algorithms, DBSCAN, etc. Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building. Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science. A strong track record of communicating results, insights, and technical solutions to senior executive management (or equivalent). Extensive technical skills, consulting experience, and business savvy to collaborate with all levels and subject areas within the organization. What sets you apart: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Over 5 years of experience with model development or other advanced fraud detection algorithms Over 4 years of experience with graph databases and graph solutions Experience in fraud/financial crimes model development Compensation: The salary range for this position is: $164,780 - $314,960. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. . click apply for full job details
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is not available for this position. Job Description The Lead Graph Data Scientist - Identity Analytics is responsible for development and implementing quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first-party/synthetic fraud. These solutions range from machine learning model development to enterprise deployment of graph analytics capabilities that protect USAA and our Members from these threats. Strong candidates will be able to deliver the following work products and processes: Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and reduce negative member experience from fraud applications, synthetic fraud, and account takeover attempts Closely partner with the Strategy team, Director of Fraud Identity Analytics, Director of Fraud Model Management, and model users on model builds and priorities. Partner with Technology and other key collaborators to deploy a Member Protection graph technology strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims, and AML, improving fraud detection and loss mitigation Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance Exports insights to decision systems to enable better fraud targeting and model development efforts Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks Develops and mentors junior staff, establishing a culture of R&D to augment the day-to-day aspects of the job What you'll do: Gathers, interprets, and manipulates sophisticated structured and unstructured data to enable sophisticated analytical solutions for the business. Leads and conducts sophisticated analytics demonstrating machine learning, simulation, and optimization to deliver business insights and achieve business objectives. Guides the team selecting the appropriate modeling technique and/or technology with consideration for data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences. Partners with business leaders from across the organization to proactively identify business needs and propose/recommend analytical and modeling projects to generate business value. Works with business and analytics leaders to prioritize analytics and highly sophisticated modeling problems/research initiatives. Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code to ensure model development and research efforts are transparent and based on highest-quality data. Assists the team with translating business request(s) into specific analytical questions, implementing analysis and/or modeling, and communicating outcomes to non-technical business colleagues with a focus on business action and recommendations. Manages project portfolio milestones, risks, and impediments. Anticipates potential issues that could limit project success or implementation and escalates as needed. Establishes and maintains standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Interacts with internal and external peers and management to maintain expertise and awareness of leading techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to data scientists in modeling, analytics, computer science, business acumen, and other interpersonal skills. Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 8 years of experience in predictive analytics or data analysis 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted languages (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Expert ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Project management experience that demonstrates the ability to anticipate and appropriately manage project milestones, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation. Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, nearest-neighbors algorithms, DBSCAN, etc. Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building. Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science. A strong track record of communicating results, insights, and technical solutions to senior executive management (or equivalent). Extensive technical skills, consulting experience, and business savvy to collaborate with all levels and subject areas within the organization. What sets you apart: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Over 5 years of experience with model development or other advanced fraud detection algorithms Over 4 years of experience with graph databases and graph solutions Experience in fraud/financial crimes model development Compensation: The salary range for this position is: $164,780 - $314,960. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. . click apply for full job details
09/06/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is not available for this position. Job Description The Lead Graph Data Scientist - Identity Analytics is responsible for development and implementing quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first-party/synthetic fraud. These solutions range from machine learning model development to enterprise deployment of graph analytics capabilities that protect USAA and our Members from these threats. Strong candidates will be able to deliver the following work products and processes: Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and reduce negative member experience from fraud applications, synthetic fraud, and account takeover attempts Closely partner with the Strategy team, Director of Fraud Identity Analytics, Director of Fraud Model Management, and model users on model builds and priorities. Partner with Technology and other key collaborators to deploy a Member Protection graph technology strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims, and AML, improving fraud detection and loss mitigation Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance Exports insights to decision systems to enable better fraud targeting and model development efforts Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks Develops and mentors junior staff, establishing a culture of R&D to augment the day-to-day aspects of the job What you'll do: Gathers, interprets, and manipulates sophisticated structured and unstructured data to enable sophisticated analytical solutions for the business. Leads and conducts sophisticated analytics demonstrating machine learning, simulation, and optimization to deliver business insights and achieve business objectives. Guides the team selecting the appropriate modeling technique and/or technology with consideration for data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences. Partners with business leaders from across the organization to proactively identify business needs and propose/recommend analytical and modeling projects to generate business value. Works with business and analytics leaders to prioritize analytics and highly sophisticated modeling problems/research initiatives. Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code to ensure model development and research efforts are transparent and based on highest-quality data. Assists the team with translating business request(s) into specific analytical questions, implementing analysis and/or modeling, and communicating outcomes to non-technical business colleagues with a focus on business action and recommendations. Manages project portfolio milestones, risks, and impediments. Anticipates potential issues that could limit project success or implementation and escalates as needed. Establishes and maintains standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Interacts with internal and external peers and management to maintain expertise and awareness of leading techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to data scientists in modeling, analytics, computer science, business acumen, and other interpersonal skills. Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 8 years of experience in predictive analytics or data analysis 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted languages (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Expert ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Project management experience that demonstrates the ability to anticipate and appropriately manage project milestones, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation. Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, nearest-neighbors algorithms, DBSCAN, etc. Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building. Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science. A strong track record of communicating results, insights, and technical solutions to senior executive management (or equivalent). Extensive technical skills, consulting experience, and business savvy to collaborate with all levels and subject areas within the organization. What sets you apart: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Over 5 years of experience with model development or other advanced fraud detection algorithms Over 4 years of experience with graph databases and graph solutions Experience in fraud/financial crimes model development Compensation: The salary range for this position is: $164,780 - $314,960. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. . click apply for full job details
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated AI Data Solutions Scientist in the Technology organization at USAA, you will work within our innovative Data Science team and collaborate cross-functionally with our architecture, engineering, and product partners to transform our operations and experiences while producing actionable insights to drive our association forward. As a member of our dynamic community of problem-solvers, you will tackle a broad and evolving spectrum of business targets to provide outstanding impacts for our membership through scaled solutions and cloud technologies, leveraging both structured and unstructured data through traditional pillars of operations research such as simulation, optimization, and machine-learning techniques, as well as a heavy emphasis on cutting-edge technologies with generative AI, large/small language models, and advanced agent frameworks. This team is the backbone of the next generation of AI modeling at USAA, and we hope you join us on the frontier! We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions for the business. Develop scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Select the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develop and deploy models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assess business needs to propose/recommend analytical and modeling projects to add business value. Work with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translate complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manage project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develop best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintain expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serve as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participate in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, Computer Science, Statistics, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience; and 6+ years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, science and engineering, ai, or other similar quantitative discipline and 4+ years of experience in predictive analytics or data analysis. 4+ years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4+ years of experience in Python for performing statical analysis and/or building and scoring AI/ML models Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics and understanding real-world constraints such as latency, cost, and reliability in AI solution designs. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts across risk stripes, including experience in the documentation and statistical validation of models for risk management. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Expertise in LLMs and agentic systems development with frameworks such as LangChain/LangGraph, AgentCore, VertexAI, MCP, or others, with proven experience including prompt engineering, tuning and post-training techniques, multi-agent systems, agent optimization and tool use, RAG and context optimization, and observability and monitoring. MLOps Integration experience in facilitating engineering implementation of production scaled AI solutions in partnership with dedicated AI Engineers in cloud environments such as AWS or GCP. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. Experience guiding and mentoring junior technical staff in business interactions and model building. What sets you apart: Financial services, insurance, banking, or other highly regulated industry experience. Experience with cloud-native application development and modernization initiatives. US military experience through military service or a military spouse/domestic partner Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
09/06/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated AI Data Solutions Scientist in the Technology organization at USAA, you will work within our innovative Data Science team and collaborate cross-functionally with our architecture, engineering, and product partners to transform our operations and experiences while producing actionable insights to drive our association forward. As a member of our dynamic community of problem-solvers, you will tackle a broad and evolving spectrum of business targets to provide outstanding impacts for our membership through scaled solutions and cloud technologies, leveraging both structured and unstructured data through traditional pillars of operations research such as simulation, optimization, and machine-learning techniques, as well as a heavy emphasis on cutting-edge technologies with generative AI, large/small language models, and advanced agent frameworks. This team is the backbone of the next generation of AI modeling at USAA, and we hope you join us on the frontier! We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions for the business. Develop scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Select the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develop and deploy models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assess business needs to propose/recommend analytical and modeling projects to add business value. Work with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translate complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manage project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develop best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintain expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serve as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participate in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, Computer Science, Statistics, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience; and 6+ years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, science and engineering, ai, or other similar quantitative discipline and 4+ years of experience in predictive analytics or data analysis. 4+ years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4+ years of experience in Python for performing statical analysis and/or building and scoring AI/ML models Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics and understanding real-world constraints such as latency, cost, and reliability in AI solution designs. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts across risk stripes, including experience in the documentation and statistical validation of models for risk management. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Expertise in LLMs and agentic systems development with frameworks such as LangChain/LangGraph, AgentCore, VertexAI, MCP, or others, with proven experience including prompt engineering, tuning and post-training techniques, multi-agent systems, agent optimization and tool use, RAG and context optimization, and observability and monitoring. MLOps Integration experience in facilitating engineering implementation of production scaled AI solutions in partnership with dedicated AI Engineers in cloud environments such as AWS or GCP. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. Experience guiding and mentoring junior technical staff in business interactions and model building. What sets you apart: Financial services, insurance, banking, or other highly regulated industry experience. Experience with cloud-native application development and modernization initiatives. US military experience through military service or a military spouse/domestic partner Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.