94 jobs found

Job Description Job Description JOB TITLE: Manager, IP Network Services DIVISION: Buckeye Broadband DEPARTMENT: IP Services JOB SUMMARY: The Manager, IP Network Services, is responsible for the high-level success and overall day-to-day performance of the IP Network team. The Manager, IP Network Services is expected to understand the existing technical architecture, plus the overall technical vision for the IP-Data Network, and use it in overseeing the creation of executable plans and manageable timelines for each budget year. The Manager, IP Network Services, ensures projects and priorities align with the expectations of the relevant business units, maintains regular communication with project stakeholders, and ensures projects are completed on time and within budget. The Manager, IP Network Services coordinates activities for the IP Service department and manages operational events and outages. The Manager, IP Network Services reports directly to the Director, IP Services. Direct reports to the Manager, IP Network Services are: IP Network Services Engineer - I & II IP Operations Engineer - I & II The Manager, IP Network Services Interfaces with the following Key personnel: Buckeye Broadband Management team & staff, MaxxSouth management team & staff, Telesystem management team & staff, Equipment & Software vendors, and Large Enterprise Customers. ESSENTIAL JOB FUNCTIONS: The Manager, IP Network Services is accountable for the following functions for the business units served by Buckeye Broadband: Oversees the work of the IP Network Services team to ensure strict adherence to departmental standards for planned or unplanned project deliverables, project documentation, and project timelines based on existing priorities. Manages all IP Network Services project activity, allocates time, resources, and ensures that projects are completed on time and on budget. Manages both internal and external communication on all IP Network Services projects and ensures that all stakeholders are kept up to date on project status. Oversee schedules, sequences, and assignments for work activities, based on work priority and skill sets of personnel. Manage escalations into the IP Network Services team from other departments or divisions. Manages communication with various vendors/ manufacturers to ensure proper requisition of materials and supplies in support of planned projects. Monitors daily/weekly project KPI's and reports pertaining to active projects, resource allocations, and project timelines-this data is then used to maintain an understanding of where all projects stand with respect to planned completion. Communicates and ensures compliance with corporate, departmental or work policies, procedures, and service standards in conjunction with senior management. Manages the recruitment, interviewing, and selection of new employees for the IP Network team. Acquires and maintains a high-level, yet working knowledge of all equipment, systems, and software proposed or implemented by the department. Ensures that technical development for the IP Network Services team is aligned with departmental objectives and with industry standards. Participates in management on-call to give direction and provide input for the on-call engineer during outages or events. Handles executive escalations. Identifies gaps in employee skill sets and works to develop employees using both internal and external resources. Assist in building the Capital budget plan based on Business Unit direction, capacity growth & operational requirements, and departmental needs as part of the yearly budgeting process. Works with Lab R&D leadership to track lab activities relevant to IP Network Services projects and ensure alignment on priorities. Collaborates with HR, OD Specialist, and direct reports to develop and update an Individual Development Plan for continual improvement and personal accountability. Provides guidance and direction to subordinates, including setting performance standards and monitoring performance. Behaves ethically and influences to do the same. Consistently follows policies, procedures, and guidelines of the organization. Establishes self as a credible and trustworthy source for employees. Establishes vertical and horizontal relationships to achieve work activities. Follows and enforces the Company's policies and procedures, including the EEO guidelines and safety, at all times. Performs any miscellaneous duties as needed. JOB REQUIREMENTS: Education and Experience Associates degree from an accredited university with a major in Engineering, Telecommunications, Computer Science or other related technical degree and Five (5+) Years of related network and system design experience OR Seven (7+) years related network and system design experience - Required Demonstrable Project Management and group communication experience - Required Working understanding of the design and implementation of Service Provider network models and concepts - Required Working understanding of Service Provider routing and switching protocols (BGP, IS-IS, MPLS, RSVP, EVPN, STP, etc.) - Required Working understanding of IPv4 and IPv6 addressing - Required Advanced understanding and practical experience in leveraging Project Management tools (MS Project, Smartsheet, etc.) - Required Working understanding of IP Network security concepts including Firewalls, NAT implementations, and VPN based technologies - Required Working understanding of carrier grade equipment and application of: DWDM Muxes, Routers, Switches, Firewalls, etc. - Required Advanced understanding of the Atlassian software suite (Confluence, JIRA, Service Desk, Etc.) - Highly Preferred Working understanding of Automation & Orchestration concepts and implementations - Required Working understanding of Service Provider/ MSO access technologies (CMTS, GPON, Active Ethernet, Etc.) and associated provisioning systems - Required Core Competencies: Agile - Embraces change, adaptable and flexible, and sense of urgency. Innovative - Uses critical thinking, creativity, continuous learning, and challenges the status quo. Customer Focused - External/Internal, creates the exceptional customer experience, demonstrates a sales and service mentality. Collaborative - Teamwork, proactive knowledge sharing, constructive conflict. Accountable - See it, Own it, Solve it, Do it hold each other accountable. Job Specific Competencies: Develop Employees - Coach, empower, engage, mentor, and teach. Deliver Results - Strategic planning and execution, makes decisions in the best interest of the Company, knows and responds to the business climate, and manages ambiguity. Displays Leadership - Role model, communicates vision, possesses emotional maturity, manages risks, resiliency, and business acumen. Displays Technical Expertise - Keeps technical skills current, effectively applies specialized knowledge and skills to perform work tasks, understands and masters the technical skills, knowledge, and tasks associated with job, and shares technical expertise with others. Skills: Demonstrates effective project and planning skills. Demonstrates ability to conduct large-audience presentations. Demonstrated ability to present complex solutions. Demonstrated ability to execute Structured Project Management. Demonstrated ability to bring projects/assignments to completion within required time frames. Other Requirements: Background record that meets Company standards. Reliable means of transportation at all times. Strictly maintains confidentiality of financial and/or other information acquired in the course of work discloses only when authorized unless legally obligated to do so. Valid driver's license and driving record that meets company standards at all times. PHYSICAL DEMANDS Walking, kneeling, standing, stooping, sitting, driving, hearing, talking, vision (close, distant, color, depth perception, adjust focus), and use of hands and fingers. Light lifting of 50 lbs. is occasionally needed. WORKING CONDITIONS The Manager, IP Network Services is a full time, exempt position. The regular work hours are 8:00 a.m.-5:00 p.m., Monday - Friday. These hours may vary to accommodate the needs of the department. The Manager, IP Network Services reports to the Director, IP Services. The Manager, IP Network Services works in an automated business office environment with business office equipment including telephones, personal computers, copy machines, and FAX equipment. The Manager, IP Network Services is required to drive on the job as needed and is subject to regular MVR checks. He/she must maintain a valid driver's license and maintain a driving record the meets Company standards for an insurable driver at all times. Any time these conditions are not met, he/she must not drive on the job and must immediately report it to their Manager. The Company is a drug-free workplace. All employees are required to adhere to the Company's drug-free workplace programs and policies. Pre-employment testing is mandatory along with random testing throughout continued employment click apply for full job details

Job Description Job Description Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth. We are seeking a Network Engineer to support a mission-critical enterprise. This role leads the design, implementation and optimization of resilient, secure network infrastructures. The ideal candidate will provide strategic and technical leadership in network moderinization, security architecture, and performance optimization while ensuring reliable communications. Responsibilities Identify network security needs, and implement security infrastructure solutions. Implement a disaster recovery procedure. Troubleshooting and communicating network issues to other employees and management. Required Qualifications Must possess an active Top Secret Clearance Must be willing and able to obtain a polygraph Bachelor's degree with 10+ years of relevant experience, or Master's degree with less than 2 years of relevant experience Expert with diagnostic tools. LAN/WAN, Cloud and Security Infrastructure. Perform threat mitigations and versed in DevSecOps. AI assisted monitoring. Palo Alto technology. Fantom Corp is a Software Development, Agile Cloud, Software Development, Cyber Security (Risk Management, Assessments & Authorization (A&A , Data, AI Platform (Computer Vision Models), Podcasting Media Services, and IT Services provider. Established in 2015, Fantom Corp serves Federal customers with top-notch Cybersecurity Architects, Data Scientists/Analysts, Software Engineers/Developers, DevSecOps Engineers, Project Managers, Identity, Credential Access Management (ICAM) services , and Cloud-certified practitioners. We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) with a focus on identifying trends, object detection, and classification of structured and unstructured data. Fantom Corp possesses mastery in all aspects of digital audio production. We lead in the ideation and creation of efforts for clients who want to harness the power of podcasting. We guide them in selecting the right show format for their needs and goals. As a Small Business, we possess the innovation, speed and flexibility to meet your requirements. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Thanks for the click. We know your time is valuable so we will get right to it. We've amassed some of the best and brightest minds in cyber security who are passionate about protecting the digital world. Our team blends advanced technology alongside deep expertise to tackle the toughest cyber threats out there. Put simply, our mission is to stay ahead of the curve and create a safer digital landscape for our partners, and we think adding a Senior Network Engineer will up our cyber game. We are seeking a highly experienced and technically elite Senior Network Engineer to lead the design, implementation, and optimization of advanced cybersecurity solutions across complex enterprise and managed environments. This role represents the highest level of technical expertise within the Fortinet ecosystem and requires deep proficiency in secure network architecture, threat mitigation, and large-scale infrastructure operations. The ideal candidate will serve as a subject matter expert (SME), providing strategic guidance, hands-on engineering, and escalation support for mission-critical security initiatives. What you'll be doing. Communicating with colleagues and customers in a professional and respectful manner. Architect, design, and implement advanced network security solutions leveraging Fortinet technologies, including FortiGate, FortiManager, FortiAnalyzer, FortiClient EMS, FortiSIEM, and FortiSOAR Lead the deployment and optimization of secure network infrastructures, including SD-WAN, ZTNA, SASE, IPS, SSL deep packet inspection, and advanced threat protection Act as the highest-level escalation point for complex security incidents, performance issues, and architectural challenges Develop and enforce security best practices, standards, and governance frameworks across customer and internal environments Perform advanced troubleshooting, packet analysis, and root cause analysis across multi-vendor and hybrid infrastructures Design and implement automation and orchestration workflows to enhance SOC and network operations efficiency Collaborate with SOC teams to improve detection, response, and threat intelligence integration Conduct security assessments, audits, and gap analyses with actionable remediation strategies Provide technical leadership, mentorship, and training to engineering and SOC teams Support pre-sales engineering efforts, including solution design, client presentations, and technical validation Stay current with emerging threats, vulnerabilities, and evolving cybersecurity technologies What does it take to succeed in this role? Fortinet NSE 8 Certification (written and practical) 10+ years of experience in network security engineering, with at least 5 years in a senior role Deep expertise in: FortiGate (advanced routing, IPS, SSL inspection, VPNs, HA) FortiManager / FortiAnalyzer (centralized management and logging) FortiClient EMS FortiSIEM / FortiSOAR (preferred) Strong knowledge of: TCP/IP, BGP, OSPF, SD-WAN, MPLS, and network design principles Zero Trust Architecture (ZTNA) and SASE frameworks Advanced threat detection and mitigation techniques Experience in large-scale, multi-tenant, or MSSP environments Strong scripting/automation skills (Python, REST APIs, or similar) Proven ability to troubleshoot complex network and security issues under pressure Excellent leadership and mentoring skills. High level problem-solving and communication skills. Uses logical reasoning in decision making and problem solving. Judgment is generally sound and reasonable; Decisions are well thought out. Exhibits confidence in decision-making ability. Shows interest in understanding how complex systems and processes work. Knows the basics of troubleshooting and maintaining devices and machines. Must be able to work independently. What are desirables? NSE8 Written and Practical (Preferred) Bachelor's degree in computer science, information technology, and previous work experience as a network engineer or NSE8. 5-7 years of SD-WAN experience / various platforms. 6-7 years advanced routing implementation 4-5 years implementing ZTNA, SASE, and other zero trust aligned technologies In addition to your technical expertise, we expect respect, opinions, and thoughtful inputs. Work Arrangement This is an onsite position based in the United States. At this time, we are not hiring candidates who require visa sponsorship. All applicants must be legally authorized to work in the United States without the need for current or future visa sponsorship. How we work. Our 3 values define how we operate internally as well as externally: Vision - We embrace a forward-thinking mindset. Our team has a clear and inspiring picture of the future that helps drive our decisions towards creating and delivering world-class security services. Velocity - We have a bias for action. We move swiftly and with purpose toward our goals and objectives and can easily adapt (and adjust) along the way. Vigilance - We foster a culture of proactive awareness for our company and our customers, who trust us to be an extension of their team. We are always looking for areas where we can innovate, improve, fix, transform and revolutionize, which ensures the protection, safety and success of everyone at SilverSky. Individuals that can act intelligently and confidently without an ego will thrive. If this opportunity sounds interesting and you are passionate about redefining how the world thinks about cyber security, we want to hear from you. Apply now if you are interested in learning more about how we can change the rules of engagement, together. About SilverSky We are a global cyber security company with more than 20 years of professional experience in the industry. Our 300+ employees are on a mission to protect our customers with comprehensive, adaptive security services that maximize technology and automate responses, while empowering security analysts to hunt for threats, react and respond immediately. It's the human enhanced response that differentiates SilverSky and allows us to create the most comprehensive managed detection and response (MxDR) solution in the industry by delivering on our Vision , Velocity , Vigilance philosophy. Follow us on X and LinkedIn to learn more.

Job Description Job Description Thanks for the click. We know your time is valuable so we will get right to it. We've amassed some of the best and brightest minds in cyber security who are passionate about protecting the digital world. Our team blends advanced technology alongside deep expertise to tackle the toughest cyber threats out there. Put simply, our mission is to stay ahead of the curve and create a safer digital landscape for our partners, and we think adding a Senior Network Engineer will up our cyber game. We are seeking a highly experienced and technically elite Senior Network Engineer to lead the design, implementation, and optimization of advanced cybersecurity solutions across complex enterprise and managed environments. This role represents the highest level of technical expertise within the Fortinet ecosystem and requires deep proficiency in secure network architecture, threat mitigation, and large-scale infrastructure operations. The ideal candidate will serve as a subject matter expert (SME), providing strategic guidance, hands-on engineering, and escalation support for mission-critical security initiatives. What you'll be doing. Communicating with colleagues and customers in a professional and respectful manner. Architect, design, and implement advanced network security solutions leveraging Fortinet technologies, including FortiGate, FortiManager, FortiAnalyzer, FortiClient EMS, FortiSIEM, and FortiSOAR Lead the deployment and optimization of secure network infrastructures, including SD-WAN, ZTNA, SASE, IPS, SSL deep packet inspection, and advanced threat protection Act as the highest-level escalation point for complex security incidents, performance issues, and architectural challenges Develop and enforce security best practices, standards, and governance frameworks across customer and internal environments Perform advanced troubleshooting, packet analysis, and root cause analysis across multi-vendor and hybrid infrastructures Design and implement automation and orchestration workflows to enhance SOC and network operations efficiency Collaborate with SOC teams to improve detection, response, and threat intelligence integration Conduct security assessments, audits, and gap analyses with actionable remediation strategies Provide technical leadership, mentorship, and training to engineering and SOC teams Support pre-sales engineering efforts, including solution design, client presentations, and technical validation Stay current with emerging threats, vulnerabilities, and evolving cybersecurity technologies What does it take to succeed in this role? Fortinet NSE 8 Certification (written and practical) 10+ years of experience in network security engineering, with at least 5 years in a senior role Deep expertise in: FortiGate (advanced routing, IPS, SSL inspection, VPNs, HA) FortiManager / FortiAnalyzer (centralized management and logging) FortiClient EMS FortiSIEM / FortiSOAR (preferred) Strong knowledge of: TCP/IP, BGP, OSPF, SD-WAN, MPLS, and network design principles Zero Trust Architecture (ZTNA) and SASE frameworks Advanced threat detection and mitigation techniques Experience in large-scale, multi-tenant, or MSSP environments Strong scripting/automation skills (Python, REST APIs, or similar) Proven ability to troubleshoot complex network and security issues under pressure Excellent leadership and mentoring skills. High level problem-solving and communication skills. Uses logical reasoning in decision making and problem solving. Judgment is generally sound and reasonable; Decisions are well thought out. Exhibits confidence in decision-making ability. Shows interest in understanding how complex systems and processes work. Knows the basics of troubleshooting and maintaining devices and machines. Must be able to work independently. What are desirables? NSE8 Written and Practical (Preferred) Bachelor's degree in computer science, information technology, and previous work experience as a network engineer or NSE8. 5-7 years of SD-WAN experience / various platforms. 6-7 years advanced routing implementation 4-5 years implementing ZTNA, SASE, and other zero trust aligned technologies In addition to your technical expertise, we expect respect, opinions, and thoughtful inputs. Work Arrangement This is an onsite position based in the United States. At this time, we are not hiring candidates who require visa sponsorship. All applicants must be legally authorized to work in the United States without the need for current or future visa sponsorship. How we work. Our 3 values define how we operate internally as well as externally: Vision - We embrace a forward-thinking mindset. Our team has a clear and inspiring picture of the future that helps drive our decisions towards creating and delivering world-class security services. Velocity - We have a bias for action. We move swiftly and with purpose toward our goals and objectives and can easily adapt (and adjust) along the way. Vigilance - We foster a culture of proactive awareness for our company and our customers, who trust us to be an extension of their team. We are always looking for areas where we can innovate, improve, fix, transform and revolutionize, which ensures the protection, safety and success of everyone at SilverSky. Individuals that can act intelligently and confidently without an ego will thrive. If this opportunity sounds interesting and you are passionate about redefining how the world thinks about cyber security, we want to hear from you. Apply now if you are interested in learning more about how we can change the rules of engagement, together. About SilverSky We are a global cyber security company with more than 20 years of professional experience in the industry. Our 300+ employees are on a mission to protect our customers with comprehensive, adaptive security services that maximize technology and automate responses, while empowering security analysts to hunt for threats, react and respond immediately. It's the human enhanced response that differentiates SilverSky and allows us to create the most comprehensive managed detection and response (MxDR) solution in the industry by delivering on our Vision , Velocity , Vigilance philosophy. Follow us on X and LinkedIn to learn more.

Job Description Job Description The Senior Manager, Enterprise AI and Analytics Leader is responsible for defining and executing the enterprise strategy for artificial intelligence, data, analytics and governance. This leader will transform data into a strategic enterprise asset, enabling business growth, operational excellence, innovation, and competitive advantage. The role serves as the leader of the Enterprise AI Center of Excellence (CoE) and is accountable for establishing enterprise-wide capabilities, governance, platforms, standards, and adoption strategies that enable responsible, scalable, and value-driven use of AI, Analytics and data. Working closely with business leaders, technology teams, and executive leadership, this position drives the organization's data and AI agenda by aligning investments to business priorities, accelerating digital transformation, and delivering measurable business outcomes. Key Responsibilities Enterprise Data & AI Strategy Define and Execute the enterprise AI & analytics, data strategy aligned with corporate objectives. Develop a multi-year roadmap that advances business intelligence, predictive analytics, machine learning, generative AI, and data-driven decision making. Identify opportunities to leverage data and AI to improve customer experience, operational efficiency, revenue growth, and innovation. Advise executive leadership on emerging trends, risks, and opportunities related to data and artificial intelligence. Establish success metrics and value realization frameworks for all major initiatives. Artificial Intelligence & AI Center of Excellence Lead the Enterprise AI Center of Excellence. Develop and execute the enterprise AI roadmap and use-case portfolio. Establish AI governance, operating models, and responsible AI principles. Identify and prioritize high-value AI opportunities across all business functions. Oversee deployment and scaling of generative AI, machine learning, intelligent automation, and advanced analytics solutions. Establish standards for AI development, model management, prompt engineering, and AI lifecycle management. Ensure AI initiatives deliver measurable business value and align with strategic priorities. Partner with Data Governance & Management to Establish enterprise data governance policies, standards, and accountability models. Lead master data management, data quality, metadata management, and data stewardship programs. Ensure data is managed as a strategic enterprise asset. Develop enterprise data architecture and information management standards. Partner with business leaders to improve data ownership, accountability, and trust. Analytics & Business Intelligence Lead enterprise reporting, analytics, and business intelligence capabilities. Drive adoption of self-service analytics and data-driven decision making. Establish standards for reporting, dashboards, KPIs, and performance management. Ensure business leaders have timely access to trusted and actionable information. Advance predictive and prescriptive analytics capabilities across the enterprise. AI Governance, Risk & Responsible AI Establish enterprise AI governance frameworks and oversight processes. Ensure compliance with legal, regulatory, privacy, cybersecurity, and ethical requirements. Chair the AI Governance Council and provide executive-level reporting on AI risks and performance. Develop policies for responsible AI usage, model monitoring, explainability, and risk management. Partner with Legal, HR, Risk, Compliance, and Security teams to ensure effective governance. Business Partnership & Value Realization Act as a strategic advisor to business leaders on data and AI opportunities. Facilitate business prioritization of data and AI investments. Build strong partnerships across Manufacturing, Supply Chain, Commercial, Service, Finance, HR, and Corporate Functions. Lead value realization reviews and ensure business outcomes are achieved. Promote a culture of data literacy and AI-enabled innovation. Data & AI Platform Leadership Define standards supporting data, analytics, and AI. Partner with Enterprise Architecture and Infrastructure teams to establish scalable and secure platforms. Drive cloud-based data and AI platform modernization. Ensure integration of AI capabilities into core business applications and business processes. Manage vendor relationships and strategic technology partnerships. Organizational Leadership Build and lead a high-performing team of data, analytics, and AI professionals. Develop enterprise data literacy and AI literacy programs. Foster a culture of innovation, collaboration, accountability, and continuous improvement. Success Measures Business Impact Revenue growth enabled through data and AI Productivity and efficiency improvements Cost reduction initiatives Business process optimization AI Adoption Number of AI solutions deployed AI utilization and adoption rates Realized business value from AI investments Employee AI literacy and engagement Governance & Risk Compliance with data and AI policies Reduction of data and AI-related risk Audit and regulatory outcomes Organizational Effectiveness Team capability development Stakeholder satisfaction Delivery performance Strategic initiative execution Experience 15+ years of experience in IT, software engineering, data platforms, or enterprise architecture. 5+ years leading enterprise AI, Machine Learning, or Data Science initiatives. Experience dealing with Analytics platforms like SAP and Non SAP solutions Experience delivering large-scale cloud and AI transformation programs. Proven success influencing executive stakeholders and driving cross-functional initiatives. Technical Expertise Generative AI, LLMs, Agentic AI, Retrieval-Augmented Generation (RAG) AI frameworks such as Semantic Kernel, LangChain, CrewAI, AutoGen Azure AI Foundry, Azure OpenAI, Azure Machine Learning Cloud platforms (Azure preferred; AWS/GCP a plus) MLOps, LLMOps, CI/CD, DevSecOps Data platforms including Databricks, Fabric and modern data architectures API, microservices, containerization, and Kubernetes Experience in SAP Joule Experience with Analytic platforms like SAP Business Data Cloud, BW, Databricks, Fabric Preferred Qualifications Experience in Manufacturing Industries. Experience implementing Responsible AI frameworks. Demonstrated thought leadership in AI strategy and enterprise transformation. Demonstrated experience in leading and dealing with analytics strategy and execution Total Compensation = Pay range + Benefits Posted salary ranges are made in good faith. Tennant Co. reserves the right to adjust ranges depending on the experience/qualifications of the selected candidate as well as internal and external equity. The salary range reflects both entry into the role and future growth. Total Compensation = Base Salary + Benefits. Benefits = A comprehensive benefits package including multiple medical plan options, 401(k) with a 100% match up to 6%, paid vacation time, 8 paid company holidays and 3 personal holidays dental and vision coverage, wellness rewards, robust family support programs, company paid disability and life insurance, and a full Employee Assistance Program. Defining Our Employee Value Proposition At Tennant Company, we Discover fulfilling work with opportunities for growth and meaningful recognition. Drive the quality and innovation our customers rely on in our products and services. Connect with people who care about each other, our brands and our communities. These are the principles that define how our employees experience Tennant Company, make Tennant a great place to grow your career, and are at the core of our legacy and future. Together, they serve as guideposts for working with our customers, our partners and one another. Begin your journey with us. Let's reinvent how the world cleans. Equal Opportunity Employer Tennant Company is an equal opportunity employer. Employment decisions are made on the basis of individual skill, ability, reliability, productivity, and other factors important to performance. We do not discriminate on the basis of race, color, creed, religion, sex, national origin, physical or mental disability, age, veteran status, pregnancy, sexual orientation, genetic information, gender identity, or any other basis protected by state or federal law or local ordinance.

Job Description Job Description Description: Hybrid onsite in either Providence, RI Our client seeks a Senior Manager, Business Intelligence to lead the strategy and delivery of enterprise analytics using Snowflake, modern BI platforms, and AI-driven insights. The role manages a BI team, partners with cross-functional leaders, and ensures scalable, governed, and trusted data products. The leader will advance metric consistency, self-service adoption, and integration of predictive and diagnostic analytics to inform executive decision-making. This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis. Salary: $147,500 - $180,125/ yr. w2 Responsibilities: Lead, mentor, and develop a team of BI analysts and developers. Define and execute the BI roadmap aligned with enterprise data and AI strategy. Serve as a trusted advisor to senior leaders by translating business needs into analytics solutions. Establish best practices for BI development, data governance, and analytics delivery. Oversee design and optimization of data models in Snowflake, including fact, dimension, and semantic layers. Partner with Data Engineering to ensure reliable pipelines, data quality, and performance optimization. Manage Snowflake cost, performance, and scalability, including warehouse sizing and query optimization. Promote reusable and scalable data assets across the enterprise. Deliver executive-level dashboards, KPIs, and self-service analytics using Power BI, Tableau, or Looker. Ensure consistent metric definitions and a single source of truth. Drive self-service adoption with strong governance and data integrity. Advance analytics maturity from descriptive to diagnostic and predictive insights. Integrate AI and machine learning insights into BI products such as forecasting, anomaly detection, and predictive KPIs. Partner with Data Science and Engineering to surface model outputs in dashboards and decision-support tools. Leverage Snowflake-native and modern AI platforms to accelerate insight delivery. Champion responsible AI practices, explainability, and ethical data use. Collaborate with Product, Finance, Marketing, Operations, and Engineering stakeholders. Translate complex analysis into clear, actionable recommendations. Prioritize BI initiatives based on business impact and goals. Experience Requirements: 10+ years in business intelligence, analytics, or data roles. 5+ years of people management or technical leadership experience. Strong hands-on experience with Snowflake as a cloud data warehouse. Advanced SQL skills and strong understanding of data modeling concepts. Proven experience delivering enterprise BI solutions using modern visualization tools such as Power BI, Tableau, or Looker. Experience or working knowledge of agentic AI applications. Proven ability to communicate insights to executive and non-technical audiences. Experience integrating AI/ML outputs into BI dashboards and workflows (preferred). Familiarity with predictive analytics, forecasting, or anomaly detection use cases (preferred). Experience with dbt, Airflow, or modern data transformation and orchestration tools (preferred). Knowledge of data governance, data catalogs, and metric layer frameworks (preferred). Background with cloud platforms such as AWS, Azure, or GCP (preferred). Experience supporting analytics in a fast-growing or highly matrixed organization (preferred). Education Requirements: Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business, or a related field. Master's degree preferred. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( , ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: When you work with Eliassen Group, all email communication will come from an address, never Gmail, Yahoo, etc. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job Description Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a(n) position title within PNC's name of division organization, you will be based in city/state location of position . Job Profile Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Scientist within PNC's Anti-Money Laundering Analytics & Modeling organization, you will be based in Pittsburgh, or Philadelphia, PA; Wilmington, DE, Cleveland, OH; Charlotte, NC; Austin, TX; or Washington, DC. Job Summary: As a Data Scientist within PNC's Anti-Money Laundering Analytics & Modeling team, you will be part of a cohesive team of professionals who utilize a variety of statistical techniques to build models to detect, monitor, and avert concerning patterns of account activity. In this role, you will work with key stakeholders across the bank to identify patterns and risk indicators within the firm's account and transaction datasets, identify opportunities for new strategies, and recommend improvements to existing strategies. You will be leading innovative AML projects that are patentable, utilizing statistical techniques, including logistic regression, clustering, gradient boosting, neural network, and other machine learning algorithms, to design samples and build statistical models. Specific responsibilities for this role include (but are not limited to): • Use a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets • Participate in data set creation, analysis, reporting, model building, model monitoring and model documentation • Effectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts • Collaboration with 1st, 2nd and 3rd line of defenses and other key stakeholders Preferred experience/qualifications: • Master's degree or higher in a quantitative field • Experience with data mining and data preparation for ML models • Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling • Expertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms • Strong programming skills in Python, PySpark, R, and/or SQL • Experience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model • Critical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems • Ability to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners • Ability to manage multiple projects simultaneously • Strong teamwork skills and ability to work across different departments Additional preferred qualifications: • Experience in banking/ financial services • Experience with anti-fraud and/or anti-money laundering modeling • Hands-on experience building various types of AI/ML models, including neural networks • Experience with cloud platforms like AWS, Google Cloud, or Azure PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights. Participates in the data gathering, data processing and data mining of large and complex datasets. Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling. May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) CompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools Work ExperienceRoles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. EducationMasters CertificationsNo Required Certification(s) LicensesNo Required License(s) Language Assessments No Required or Preferred Language Assessments Pay Transparency Base Salary: $86,250.00 - $172,500.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 06/26/2026, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role . click apply for full job details

Job Description Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a(n) position title within PNC's name of division organization, you will be based in city/state location of position . Job Profile Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Scientist Senior. within PNC's Modeling & Customer Analytics organization, you will be based in Pittsburgh, PA; Cleveland, OH; East Brunswick, NJ; or Tyson's Corner, VA. Job Summary: PNC is seeking a highly motivated Data Scientist Senior to join the Modeling & Customer Analytics organization. This role will focus on supporting analytics initiatives across Branch Banking, Customer Care Center, and Customer Analytics functions, leveraging advanced analytics, statistical techniques, and large-scale data processing to drive business insights and decision-making. The ideal candidate will possess strong programming expertise in Python and PySpark, experience working with large datasets, and the ability to communicate complex analytical findings to both technical and non-technical stakeholders. This position will partner closely with business leaders and technology teams to develop predictive models, conduct ad hoc analyses, support test-and-learn initiatives, and deliver actionable insights that improve customer and business outcomes. Required Qualifications: • Bachelor's degree with 5+ years of relevant experience in Data Science, Analytics, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field; OR Master's degree with 3+ years of relevant experience. • Strong experience in Data Science, Business Analytics, or Advanced Analytics roles. • Advanced programming skills in Python, PySpark, SQL, or JupyterHub/Jupyter Notebook environments • Experience working in Linux environments. • Experience with big data platforms, including Teradata and large-scale data processing frameworks. • Strong statistical, analytical, and mathematical problem-solving skills. • Experience developing predictive models and performing forecasting, and Clustering/Segmentation Analysis • Experience conducting ad hoc analyses and translating data into business recommendations. • Ability to communicate complex analytical concepts effectively to business stakeholders, technical teams, and non-technical audiences. • Experience developing data visualizations and dashboards using Tableau and/or Power BI. • Strong coding, analytical, and communication skills. Preferred Qualifications: • Experience within the Banking or Financial Services industry. • Experience supporting customer analytics, branch banking analytics, or contact center analytics functions. • Knowledge of customer behavior modeling and business performance measurement. • Familiarity with experimental design, A/B testing, and test-and-learn methodologies. • Experience working with cross-functional teams in large enterprise environments. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights. Directs the data gathering, data processing and data mining of large and complex datasets. Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling. Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) CompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools Work ExperienceRoles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. EducationMasters CertificationsNo Required Certification(s) LicensesNo Required License(s) Language Assessments No Required or Preferred Language Assessments Pay Transparency Base Salary: $91,000.00 - $202,800.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 09/28/2026, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents . click apply for full job details

Job Description Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a(n) position title within PNC's name of division organization, you will be based in city/state location of position . Job Profile Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Scientist Senior. within PNC's Modeling & Customer Analytics organization, you will be based in Pittsburgh, PA; Cleveland, OH; East Brunswick, NJ; or Tyson's Corner, VA. Job Summary: PNC is seeking a highly motivated Data Scientist Senior to join the Modeling & Customer Analytics organization. This role will focus on supporting analytics initiatives across Branch Banking, Customer Care Center, and Customer Analytics functions, leveraging advanced analytics, statistical techniques, and large-scale data processing to drive business insights and decision-making. The ideal candidate will possess strong programming expertise in Python and PySpark, experience working with large datasets, and the ability to communicate complex analytical findings to both technical and non-technical stakeholders. This position will partner closely with business leaders and technology teams to develop predictive models, conduct ad hoc analyses, support test-and-learn initiatives, and deliver actionable insights that improve customer and business outcomes. Required Qualifications: • Bachelor's degree with 5+ years of relevant experience in Data Science, Analytics, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field; OR Master's degree with 3+ years of relevant experience. • Strong experience in Data Science, Business Analytics, or Advanced Analytics roles. • Advanced programming skills in Python, PySpark, SQL, or JupyterHub/Jupyter Notebook environments • Experience working in Linux environments. • Experience with big data platforms, including Teradata and large-scale data processing frameworks. • Strong statistical, analytical, and mathematical problem-solving skills. • Experience developing predictive models and performing forecasting, and Clustering/Segmentation Analysis • Experience conducting ad hoc analyses and translating data into business recommendations. • Ability to communicate complex analytical concepts effectively to business stakeholders, technical teams, and non-technical audiences. • Experience developing data visualizations and dashboards using Tableau and/or Power BI. • Strong coding, analytical, and communication skills. Preferred Qualifications: • Experience within the Banking or Financial Services industry. • Experience supporting customer analytics, branch banking analytics, or contact center analytics functions. • Knowledge of customer behavior modeling and business performance measurement. • Familiarity with experimental design, A/B testing, and test-and-learn methodologies. • Experience working with cross-functional teams in large enterprise environments. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights. Directs the data gathering, data processing and data mining of large and complex datasets. Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling. Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) CompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools Work ExperienceRoles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. EducationMasters CertificationsNo Required Certification(s) LicensesNo Required License(s) Language Assessments No Required or Preferred Language Assessments Pay Transparency Base Salary: $91,000.00 - $202,800.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 09/28/2026, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents . click apply for full job details

Job Description Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a(n) position title within PNC's name of division organization, you will be based in city/state location of position . Job Profile Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Scientist within PNC's Anti-Money Laundering Analytics & Modeling organization, you will be based in Pittsburgh, or Philadelphia, PA; Wilmington, DE, Cleveland, OH; Charlotte, NC; Austin, TX; or Washington, DC. Job Summary: As a Data Scientist within PNC's Anti-Money Laundering Analytics & Modeling team, you will be part of a cohesive team of professionals who utilize a variety of statistical techniques to build models to detect, monitor, and avert concerning patterns of account activity. In this role, you will work with key stakeholders across the bank to identify patterns and risk indicators within the firm's account and transaction datasets, identify opportunities for new strategies, and recommend improvements to existing strategies. You will be leading innovative AML projects that are patentable, utilizing statistical techniques, including logistic regression, clustering, gradient boosting, neural network, and other machine learning algorithms, to design samples and build statistical models. Specific responsibilities for this role include (but are not limited to): • Use a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets • Participate in data set creation, analysis, reporting, model building, model monitoring and model documentation • Effectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts • Collaboration with 1st, 2nd and 3rd line of defenses and other key stakeholders Preferred experience/qualifications: • Master's degree or higher in a quantitative field • Experience with data mining and data preparation for ML models • Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling • Expertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms • Strong programming skills in Python, PySpark, R, and/or SQL • Experience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model • Critical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems • Ability to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners • Ability to manage multiple projects simultaneously • Strong teamwork skills and ability to work across different departments Additional preferred qualifications: • Experience in banking/ financial services • Experience with anti-fraud and/or anti-money laundering modeling • Hands-on experience building various types of AI/ML models, including neural networks • Experience with cloud platforms like AWS, Google Cloud, or Azure PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights. Participates in the data gathering, data processing and data mining of large and complex datasets. Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling. May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) CompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools Work ExperienceRoles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. EducationMasters CertificationsNo Required Certification(s) LicensesNo Required License(s) Language Assessments No Required or Preferred Language Assessments Pay Transparency Base Salary: $86,250.00 - $172,500.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 06/26/2026, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role . click apply for full job details

Job Description Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a(n) position title within PNC's name of division organization, you will be based in city/state location of position . Job Profile Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Scientist Senior. within PNC's Modeling & Customer Analytics organization, you will be based in Pittsburgh, PA; Cleveland, OH; East Brunswick, NJ; or Tyson's Corner, VA. Job Summary: PNC is seeking a highly motivated Data Scientist Senior to join the Modeling & Customer Analytics organization. This role will focus on supporting analytics initiatives across Branch Banking, Customer Care Center, and Customer Analytics functions, leveraging advanced analytics, statistical techniques, and large-scale data processing to drive business insights and decision-making. The ideal candidate will possess strong programming expertise in Python and PySpark, experience working with large datasets, and the ability to communicate complex analytical findings to both technical and non-technical stakeholders. This position will partner closely with business leaders and technology teams to develop predictive models, conduct ad hoc analyses, support test-and-learn initiatives, and deliver actionable insights that improve customer and business outcomes. Required Qualifications: • Bachelor's degree with 5+ years of relevant experience in Data Science, Analytics, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field; OR Master's degree with 3+ years of relevant experience. • Strong experience in Data Science, Business Analytics, or Advanced Analytics roles. • Advanced programming skills in Python, PySpark, SQL, or JupyterHub/Jupyter Notebook environments • Experience working in Linux environments. • Experience with big data platforms, including Teradata and large-scale data processing frameworks. • Strong statistical, analytical, and mathematical problem-solving skills. • Experience developing predictive models and performing forecasting, and Clustering/Segmentation Analysis • Experience conducting ad hoc analyses and translating data into business recommendations. • Ability to communicate complex analytical concepts effectively to business stakeholders, technical teams, and non-technical audiences. • Experience developing data visualizations and dashboards using Tableau and/or Power BI. • Strong coding, analytical, and communication skills. Preferred Qualifications: • Experience within the Banking or Financial Services industry. • Experience supporting customer analytics, branch banking analytics, or contact center analytics functions. • Knowledge of customer behavior modeling and business performance measurement. • Familiarity with experimental design, A/B testing, and test-and-learn methodologies. • Experience working with cross-functional teams in large enterprise environments. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights. Directs the data gathering, data processing and data mining of large and complex datasets. Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling. Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) CompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools Work ExperienceRoles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. EducationMasters CertificationsNo Required Certification(s) LicensesNo Required License(s) Language Assessments No Required or Preferred Language Assessments Pay Transparency Base Salary: $91,000.00 - $202,800.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 09/28/2026, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents . click apply for full job details

Job Description Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a(n) position title within PNC's name of division organization, you will be based in city/state location of position . Job Profile Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Scientist within PNC's Anti-Money Laundering Analytics & Modeling organization, you will be based in Pittsburgh, or Philadelphia, PA; Wilmington, DE, Cleveland, OH; Charlotte, NC; Austin, TX; or Washington, DC. Job Summary: As a Data Scientist within PNC's Anti-Money Laundering Analytics & Modeling team, you will be part of a cohesive team of professionals who utilize a variety of statistical techniques to build models to detect, monitor, and avert concerning patterns of account activity. In this role, you will work with key stakeholders across the bank to identify patterns and risk indicators within the firm's account and transaction datasets, identify opportunities for new strategies, and recommend improvements to existing strategies. You will be leading innovative AML projects that are patentable, utilizing statistical techniques, including logistic regression, clustering, gradient boosting, neural network, and other machine learning algorithms, to design samples and build statistical models. Specific responsibilities for this role include (but are not limited to): • Use a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets • Participate in data set creation, analysis, reporting, model building, model monitoring and model documentation • Effectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts • Collaboration with 1st, 2nd and 3rd line of defenses and other key stakeholders Preferred experience/qualifications: • Master's degree or higher in a quantitative field • Experience with data mining and data preparation for ML models • Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling • Expertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms • Strong programming skills in Python, PySpark, R, and/or SQL • Experience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model • Critical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems • Ability to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners • Ability to manage multiple projects simultaneously • Strong teamwork skills and ability to work across different departments Additional preferred qualifications: • Experience in banking/ financial services • Experience with anti-fraud and/or anti-money laundering modeling • Hands-on experience building various types of AI/ML models, including neural networks • Experience with cloud platforms like AWS, Google Cloud, or Azure PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights. Participates in the data gathering, data processing and data mining of large and complex datasets. Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling. May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) CompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools Work ExperienceRoles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. EducationMasters CertificationsNo Required Certification(s) LicensesNo Required License(s) Language Assessments No Required or Preferred Language Assessments Pay Transparency Base Salary: $86,250.00 - $172,500.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 06/26/2026, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role . click apply for full job details

Job Description Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a(n) position title within PNC's name of division organization, you will be based in city/state location of position . Job Profile Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Scientist within PNC's Anti-Money Laundering Analytics & Modeling organization, you will be based in Pittsburgh, or Philadelphia, PA; Wilmington, DE, Cleveland, OH; Charlotte, NC; Austin, TX; or Washington, DC. Job Summary: As a Data Scientist within PNC's Anti-Money Laundering Analytics & Modeling team, you will be part of a cohesive team of professionals who utilize a variety of statistical techniques to build models to detect, monitor, and avert concerning patterns of account activity. In this role, you will work with key stakeholders across the bank to identify patterns and risk indicators within the firm's account and transaction datasets, identify opportunities for new strategies, and recommend improvements to existing strategies. You will be leading innovative AML projects that are patentable, utilizing statistical techniques, including logistic regression, clustering, gradient boosting, neural network, and other machine learning algorithms, to design samples and build statistical models. Specific responsibilities for this role include (but are not limited to): • Use a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets • Participate in data set creation, analysis, reporting, model building, model monitoring and model documentation • Effectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts • Collaboration with 1st, 2nd and 3rd line of defenses and other key stakeholders Preferred experience/qualifications: • Master's degree or higher in a quantitative field • Experience with data mining and data preparation for ML models • Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling • Expertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms • Strong programming skills in Python, PySpark, R, and/or SQL • Experience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model • Critical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems • Ability to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners • Ability to manage multiple projects simultaneously • Strong teamwork skills and ability to work across different departments Additional preferred qualifications: • Experience in banking/ financial services • Experience with anti-fraud and/or anti-money laundering modeling • Hands-on experience building various types of AI/ML models, including neural networks • Experience with cloud platforms like AWS, Google Cloud, or Azure PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights. Participates in the data gathering, data processing and data mining of large and complex datasets. Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling. May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) CompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools Work ExperienceRoles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. EducationMasters CertificationsNo Required Certification(s) LicensesNo Required License(s) Language Assessments No Required or Preferred Language Assessments Pay Transparency Base Salary: $86,250.00 - $172,500.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 06/26/2026, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role . click apply for full job details

Job Description Job Description Senior Manager/Team Lead, Enterprise Applications (Enterprise Document Services) Location: Hybrid (Newark, NJ - 2 consecutive days onsite per month) Right to Hire NOTE: We cannot consider third party candidates. Please do not contact us about this position. Position Summary We are seeking a strategic and transformational Senior Manager, Enterprise Applications to lead a portfolio of enterprise document services and customer communication technologies supporting critical business operations within a complex enterprise environment. In partnership with business stakeholders, this leader will define the technology strategy, roadmap, and delivery model for a portfolio of enterprise applications supporting Document Generation, Enterprise Content Management (ECM), Document Storage & Archiving, and Enterprise Communication Services. This includes technologies responsible for document creation, management, storage, retention, and delivery across multiple communication channels including print, email, fax, SMS, and secure digital platforms. This position will oversee approximately 45-50 technology professionals through four Team Leads responsible for Document Generation, Enterprise Content Management, Document Storage, and Communication Services. The ideal candidate is a visionary technology leader with a strong software engineering background who can modernize enterprise platforms, improve operational performance, and identify opportunities to leverage Artificial Intelligence (AI), automation, and intelligent document processing to transform how enterprise document services are delivered. This role requires an experienced people leader who can balance strategic planning with operational execution while ensuring high levels of application availability, software quality, regulatory compliance, and customer satisfaction. Primary Responsibilities Strategic Leadership & Business Partnership Partner with business stakeholders to develop and execute technology and digital strategies aligned with enterprise objectives. Establish and maintain multi-year technology roadmaps for an enterprise application portfolio supporting document management and customer communications. Evaluate emerging technologies, AI capabilities, automation, and intelligent document processing solutions to improve efficiency, scalability, and customer experience. Lead organizational and technology transformation initiatives that modernize enterprise platforms, operating models, and delivery processes. Implement transparent demand management processes and prioritize technology investments based on business value. People Leadership Lead, coach, mentor, and develop approximately 45-50 technology professionals through four Team Leads responsible for enterprise document services. Foster a high-performing, collaborative, and customer-focused culture while guiding teams through organizational and technology transformation. Manage workforce planning, recruiting, performance management, employee development, succession planning, and engagement initiatives. Maintain an effective balance of internal employees and onshore/offshore contract resources to meet evolving business demands. Promote continuous learning, innovation, accountability, and operational excellence throughout the organization. Enterprise Application & Software Delivery Direct the software development lifecycle (SDLC) across in-house developed and vendor-supported enterprise applications. Ensure software engineering best practices, architecture standards, testing, quality assurance, security, and release management are consistently applied throughout the application lifecycle. Support Agile and Scrum adoption while driving continuous improvement across development and delivery teams. Collaborate with Enterprise Architecture, Infrastructure, Information Security, Data Governance, and other technology organizations to ensure enterprise standards are met. Ensure business, functional, and non-functional requirements are effectively translated into high-quality technology solutions. Enterprise Document Services Provide strategic and operational leadership for enterprise platforms supporting: Document Generation and Composition Enterprise Content Management (ECM) Document Storage and Archiving Enterprise Communication Delivery Oversee technologies supporting document creation, storage, retrieval, retention, governance, and multi-channel communications. Drive modernization of enterprise document platforms supporting member, provider, claims, enrollment, prior authorization, appeals, and regulatory communications. Ensure enterprise document platforms support security, compliance, governance, auditability, and business continuity requirements. Application Portfolio & Service Delivery Manage an enterprise application portfolio consisting of multiple business-critical applications. Maintain 24x7 production support and ensure application availability, reliability, scalability, and operational excellence. Establish and monitor Service Level Agreements (SLAs), Key Performance Indicators (KPIs), operational dashboards, and continuous service improvement initiatives. Drive proactive incident management, problem management, capacity planning, and operational risk mitigation. Ensure application performance meets agreed-upon business expectations. Vendor, Financial & Operational Management Develop vendor strategies that align with workforce planning, budget objectives, and technology roadmaps. Manage vendor relationships, contract negotiations, software licensing, consulting engagements, and outsourced service providers. Monitor vendor performance and ensure contractual obligations, delivery commitments, and SLAs are consistently achieved. Manage annual operating budgets, technology investments, forecasting, and financial planning. Drive operational efficiencies while balancing cost optimization, service quality, and customer satisfaction. Ensure compliance with organizational policies, financial controls, audit requirements, and regulatory standards. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Information Systems, Engineering, Business, or a related field preferred, or equivalent combination of education and experience. 8+ years of progressive experience leading enterprise application development, software engineering, or enterprise technology organizations. 5+ years of leadership experience managing technology teams, software delivery organizations, or enterprise application portfolios. Experience leading multiple managers, Team Leads, or large cross-functional technology teams of approximately 40-50 professionals. Strong experience managing enterprise application portfolios, software delivery, and production support environments. Demonstrated expertise with the Software Development Life Cycle (SDLC), including software engineering, testing, deployment, maintenance, and operational support. Experience leading enterprise document management, enterprise content management (ECM), customer communications management (CCM), document generation, or related enterprise application platforms. Proven ability to establish technology roadmaps, drive modernization initiatives, and lead organizational transformation. Experience managing 24x7 production support environments with responsibility for application availability, reliability, quality, and service delivery. Experience establishing and managing Service Level Agreements (SLAs), operational metrics, and continuous improvement programs. Strong knowledge of enterprise architecture principles, governance, information security, and data governance practices. Demonstrated success managing vendors, contracts, budgets, and outsourced technology services. Excellent leadership, communication, stakeholder management, organizational, and problem-solving skills. Preferred Qualifications Experience supporting enterprise applications within a healthcare payer or other highly regulated industry. Experience with Enterprise Content Management (ECM) platforms such as IBM FileNet, OpenText, Hyland OnBase, SharePoint, or similar enterprise solutions. Experience with Customer Communications Management (CCM) and document composition technologies such as OpenText Exstream, Quadient Inspire, Smart Communications, Adobe Experience Manager Forms, or Oracle Documaker. Experience leading enterprise communication platforms supporting print, email, fax, SMS/text messaging, secure messaging, and digital communications. Experience implementing AI, intelligent automation, machine learning, or digital transformation initiatives within enterprise technology organizations. Experience with Agile, Scrum, or Scaled Agile software delivery methodologies. Experience managing enterprise application portfolios in partnership with business stakeholders, infrastructure, information security, and enterprise architecture teams. Lean Six Sigma, Project Management Professional (PMP), Agile, Scrum, or Scaled Agile certifications. Experience leading technology organizations through organizational change and large-scale platform modernization initiatives. . click apply for full job details

Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: Designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models), Implements Artificial/Augmented Intelligence systems, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse "big data" sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements. The Data Scientist Senior will be a member of a close-knit team of data analysts, data scientists, and software developers analyzing large, multidimensional datasets from internal and external sources. The Data Scientist Senior will develop and apply novel models on customer data in order to help identify areas to increase profits and reduce losses. Essential Duties and Responsibilities: Designs and implementation of Regression based predictive models incorporating diverse data types. Integrates state-of-the-art machine learning algorithms as well as the development of new methods. Partners with experimentalists to translate models into testable hypotheses. Develops tools to support analysis and visualization of large datasets. Develops, codes software programs, implements industry standard auto ML models (Speech, Computer vision, Text Data), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms. Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers. Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholders Analyze, review and track trends and tools in Data Science, Machine Learning, Augmented Intelligence, Artificial Intelligence and IoT space to help in making build/buy/partner recommendations Interacts with Cross-Functional teams to identify questions and issues for data engineering, machine learning models feature engineering. Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction. Helps efficiently maintain cloud Infrastructure for research, staging and beta/pilot environment (from costs perspective for working with huge data sets) Mentors, guides, and indirectly leads less experienced Data Scientist peers Drives innovation by fostering open, high energy, collaborative environment; lead participation in innovation summit and expos, recommend relevant training and conference for employees to attend, publish papers and patent disclosures Meets with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models. Minimum Qualifications: Bachelor's in Computer Science, Machine learning, or related discipline. 5+ years experience required. Strong background in statistics, machine learning, deep learning and programming necessary, along with time series forecasting. Hands-on experience with the Azure cloud platform, particularly Azure Databricks. Proficient in large-scale data processing using PySpark and querying with Databricks SQL. Demonstrable experience building and deploying end-to-end ML solutions. Familiarity with CI/CD principles and tools like GitHub Actions, and experience with automated deployment frameworks such as Databricks Asset Bundles. Preferred Qualifications: Master's preferred. Experience in solving large-scale real-world industry problems, preferably in collaboration with cross-functional, multidisciplinary teams. Knowledge of statistical programming techniques and languages (e.g., R, Python, Java, etc.). Working knowledge of common machine learning and deep learning approaches (e.g. regression, clustering, classification, dimensionality reduction, supervised and unsupervised techniques, Bayesian reasoning, boosting, random forests, deep learning) and data analysis packages (e.g. scikit-learn, pyclustering, pathways analysis, MLlib). Prior experience with Tensorflow. Prior experience in Natural Language Processing using NLTK. Retail industry experience desired. Experience using cloud compute (e.g. Google Cloud Platform, AWS, Azure). Familiarity with NoSQL databases, graphical analyses, and large-scale data processing frameworks (e.g. Apache Spark). Solid understanding of data structures, software design and architecture.Ability to work independently and take initiative, but also a cooperative team player. Equal Opportunity Employer: Zebra 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 and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $108,960.00 - $163,440.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team . click apply for full job details

Job Description Job Description Overview Job Title: Data Product Manager Location: Arnold AFB, TN Job Family Code: Q - Program Management & Operations (tech) Function/Branch: MIS/Data Team Directorate: MIS Position Type:Regular, Full-Time Pay Type: Exempt Sponsorship: Position Not Sponsored Grade: L10 (QA1005)/L11 (QA1103) Salary Range or Starting Hourly Rate: L10: $146,500 - $179,000; L11: $160,000 - $213,000/ per year Overview BNH is seeking a strategic, business-oriented Data Product Manager to lead our enterprise data transformation and define the roadmap for BNH's data products supporting the TOS II contract at Arnold Air Force Base. In this hands-on leadership role, you will treat enterprise data as a core product, bridging the gap between technical teams (data engineering, analytics, business intelligence) and key business stakeholders (aerospace test operations, finance, and compliance). You will define product vision, manage the data product backlog, and lead the technical team in delivering secure, self-service data capabilities that support aerospace testing throughput. As a key member of the senior leadership team, the Data Product Manager will define and execute the organization's data strategy, ensuring that data becomes a core driver of business performance, innovation, and competitive advantage. This is a hands-on leadership role that balances strategic vision with operational excellence Open to internal & external candidates. The selected candidate for this requisition may be required to occasionally (e.g. application upgrades) work outside normal business hours. Job Summary The successful candidate will be a strategic, business-oriented data leader responsible for defining the enterprise data product vision, establishing the long-term product roadmap, managing and prioritizing the feature backlog, and optimizing resource investments to ensure BNH's data assets deliver measurable business value and directly support the modernization goals of the TOS II contract. Job Duties and Key Responsibilities: Strategic leadership: Define and continuously evolve the enterprise data strategy aligned with business objectives; Establish KPIs that directly link data initiatives to business outcomes (revenue growth, churn reduction, cost savings, etc.); Act as the primary advocate for data initiatives at the executive level. Team Leadership: Build, lead, and scale a high-performing Data team (Data Engineering, Analytics, Data Science, Governance); Foster a culture of innovation, continuous learning, and technical excellence; Set priorities and make final decisions on project resourcing Cross-Functional Team Coordination: Lead and act as a bridge between cross-functional teams of data engineers, data scientists, analysts, and business leaders to ensure alignment and unblock technical progress. Product Roadmap & Delivery: Define product-level Objectives and Key Results (OKRs) and establish product success criteria; manage the data product lifecycle from concept through launch, user adoption, and continuous iteration. Maximize team velocity and resource allocation using Agile product management tools, shifting focus from "delivering on time" to "delivering high-value, high-adoption features. Requirement Translation: Convert high-level business goals into clear, actionable technical requirements for the data team. Test Operations Modernization: Partner with O&M, instrumentation, and test engineering directorates to design and modernize legacy data acquisition and telemetry pipelines. Build secure, reliable data products that scale testing capacity, directly supporting the contract's goal to double testing throughput. Data Governance and Quality Management: Oversee enterprise data governance, data quality, master data management, and data security; Ensure data collection, storage, and sharing comply with internal data governance standards, security policies and compliance with all regulatory and privacy requirements; Anticipate and mitigate technical, ethical, or financial hurdles while ensuring data accuracy; Champion best practices in data architecture and data management. Data Product Lifecycle Management: Define the long-term vision, strategy, and product roadmap for BNH's data infrastructure, analytics dashboards, and automated reporting systems. Workflow Management: Utilize Agile frameworks like Scrum or Kanban to manage data pipelines, handle unknowns, and iterate deliverables. Stakeholder Communication and Reporting: Translate complex technical progress into plain-language business insights for non-technical stakeholders and keep leadership informed on project health, risks, and ROI. Perform other duties as required. Basic Qualifications: Bachelor's in computer science, data science, software engineering, information systems, business analytics, or operations reasearch, OR Bachelor's degree in any field, plus 2 additional years of expereince in technical data management or product analytics. (10) Ten Years as a product owner, product manager, data scientist, business intelligence, data engineering or data analytics. Must be able to obtain and maintain an active security clearance and mainatain authorized user access to the AEDC local area network. U.S. Citizenship is required due to federal governement contract compliance requirements and the necessity to access secure federal databases and networks on Arnold Air Force Bsae. Preferred Qualifications Data Management Fundamentals: Understanding of data warehousing, ETL (Extract, Transform, Load) pipelines, database structures, and data modeling. Enterprise-Scale Modernization: Experience migrating legacy on-premises systems (e.g., legacy databases, analog test telemetry) to modern, cloud-based data warehouses or unified lakes. Business Intelligence & Analytics Tools: Familiarity with visualization and reporting platforms like Tableau, Power BI, or Looker. Data Science & Big Data Concepts: Working knowledge of how machine learning models, big data frameworks, and analytics workflows operate. Query & Scripting Basics: Literacy in foundational languages or tools like SQL or Python to communicate effectively with technical contributors Translation & Communication: Ability to explain complex technical metrics and machine learning outputs in plain language to non-technical business partners. Collaboration Frameworks: Experience running agile or hybrid project frameworks (such as Scrum or Kanban). Problem-Solving & Critical Thinking: Aptitude for troubleshooting data bottlenecks, missing variables, or shifting project requirements. Stakeholder Management: Skill in balancing competing demands, managing expectations, and driving project buy-in across different departments. What We Offer Competitive salaries Continuing education assistance Multiple healthcare benefits packages 401K with employer matching Paid time off (PTO) along with a federally recognized holiday schedule Who We Are Beyond New Horizons (BNH) is a fully populated joint venture of Astrion and Fluor Federal Services, Inc. formed to provide unmatched Test Operations and Sustainment services for the Arnold Engineering Development Complex. We chose our name to serve as an enduring reminder of our commitment to AEDC's rich aerospace research and development legacy anchored in AEDC's Toward New Horizons founding study and the unprecedented opportunities to greatly expand AEDC's capabilities and capacity Beyond those existing today. Leveraging the capabilities of our parent companies, BNH specializes in testing and evaluation for military and space systems combined with proven capability in large-scale Government program management, integration, engineering, and construction services for specialized and technically advanced high-hazard facilities. Join our Team! U.S. Citizenship is required. At this time BNH will not sponsor any applicants for employment authorization or offer any immigration related support for this position (i.e. H1b, F1 OPT, F-1 STEM OPT, F-1 CPT, J-1, E-2, E-3, L-1, or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations and refers to the amount BNH is willing to pay at the time of this posting. Salaries for part-time jobs will be adjusted based upon the number of hours agreed to work at location Tennessee: Arnold Air Force, TN. L10: $146,500 - $179,000; L11: $160,000 - $213,000/ year at Arnold Air Force Base, TN. BNH is an Equal Employment Opportunity/Affirmative Action Employer. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. . click apply for full job details

Job Description Job Description Senior Network Architect Full Time, Aberdeen, MD TS w/ SCI eligibility Referral bonus: $1,500 Sign-on Bonus: $2,500 Semper Valens Solutions is seeking an experienced Senior Network Architect to support Project Manager Intelligence Systems & Analytics (PM IS&A) and Project Linchpin, the U.S. Army's high-visibility Artificial Intelligence and Machine Learning (AI/ML) modernization initiative. This position plays a critical role in designing and optimizing the network infrastructure that enables mission-critical Army intelligence capabilities. The successful candidate will provide technical leadership in the design, analysis, documentation, and modernization of complex intelligence network architectures across the Department of Defense Information Network (DODIN-A) and Army intelligence environments. Key Responsibilities Develop, document, and maintain current ("As-Is") and future-state ("To-Be") network architectures supporting Army intelligence systems. Produce architecture products that comply with Department of Defense Architecture Framework (DoDAF) and Enterprise Architecture (EA) standards. Monitor and analyze network performance using enterprise network management and packet analysis tools to identify bandwidth constraints, latency issues, and other performance bottlenecks. Collaborate with network service providers to evaluate traffic patterns and optimize network performance across tactical and strategic environments. Design, evaluate, and recommend scalable network solutions that improve performance, resiliency, and availability. Develop technical specifications, contingency plans, and alternate routing strategies to support mission continuity. Partner with Program Executive Offices (PEOs), Army Cyber Command (ARCYBER), systems engineers, and intelligence stakeholders to translate operational requirements into modernized network solutions. Provide technical leadership and brief network architecture recommendations, risks, and modernization strategies to senior government and military leadership. Support the integration of emerging technologies while ensuring compliance with Army and DoD cybersecurity and network standards. Required Skills and Experience Extensive experience in enterprise network architecture, network systems engineering, and topology design within Department of Defense environments. Demonstrated expertise in network capacity planning, performance analysis, bottleneck identification, and infrastructure optimization for large-scale distributed networks. Strong understanding of Army and DoD networking policies, standards, and regulations, including AR 25-1 and related guidance. Experience operating within secure, mission-critical intelligence or defense environments. Proficiency with enterprise network monitoring, diagnostic, and packet analysis tools. Excellent written and verbal communication skills, including the ability to brief senior military and civilian leadership. Proven ability to lead technical teams and collaborate effectively across multiple engineering disciplines. Required Clearance Active Top Secret security clearance is required. Eligibility for Sensitive Compartmented Information (SCI) access is strongly preferred due to the nature of supported Army intelligence programs. Required Qualifications Bachelor's degree in Electrical Engineering, Electronics Engineering, Systems Engineering, Software Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related technical discipline. Minimum of fifteen (15) years of relevant professional experience. Substitution: A Master's degree in a related technical field and a minimum of eight (8) years of relevant experience may be substituted for the bachelor's degree and fifteen (15) years of experience requirement. Travel Travel is expected to be less than 25% and may include both CONUS and OCONUS locations. Work Environment This position is located at Aberdeen Proving Ground (APG), Maryland, and is co-located with the customer and other government contractors in secure government office facilities. About Semper Valens Solutions: Semper Valens Solutions, Inc. (SVS) is a Service-Disabled Veteran Owned Small Business (SDVOSB) providing Cost Effective Software and Systems Engineering, Field Support, Training and Full Life cycle Support Management to the DOD and VA community. At Semper Valens, our vision is to remain a creative, cutting edge and cost-effective solutions provider where our shared intellect, industry experience, and technology excellence, make a positive difference in our customer's success. Our solutions help bridge the gap between IT and business prioritizations to optimize budgets, risks and operational processes. We search for outstanding technical professionals, hiring at all levels of the experience spectrum; intermediate, journeyman and senior. Consider us for your career plan. Semper Valens Solutions is an Equal Opportunity Employer Semper Valens Solutions proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital/parental status, pregnancy/childbirth, or related conditions, physical or mental disability, genetic information, status as a Disabled Veteran, Recently Separated Veteran, Active-Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law. If you require a reasonable accommodation to apply for a position with Semper Valens Solutions through its online applicant system, please contact Semper Valens Solutions Human Resources Department at . Semper Valens Solutions is an affirmative action/equal opportunity employer - minorities, females, disabled, and protected veterans are urged to apply. Applicants have rights under Federal Employment Laws. All Jobs at Semper Valens Solutions:

Lead CarMax's Logistics Modeling team in developing optimization strategies and AI-powered planning models for vehicle transportation across its nationwide network. Manage and develop data scientists, guide software implementation with IT and field teams, and measure the business impact of logistics planning improvements. Responsibilities Develop short- and long-term logistics planning strategies aligned with business objectives. Lead development of optimization models and AI systems for vehicle transportation planning. Manage, coach, and set goals for a team of 4-7 data scientists. Collaborate with IT and field teams to implement planning models and deliver actionable plans. Design experiments and measure the business impact of logistics planning changes. Continuously improve logistics strategies to increase efficiency and business value. Required Skills Data science Logistics optimization Mathematical modeling Statistics Machine learning Artificial intelligence Python Computer science Software engineering Experiment design

AI Engineer 4 (AI Foundations, LLM Customization and Finetuning) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).