S&P Global
Princeton, New Jersey
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details
TireHub, LLC
Atlanta, Georgia
Job Description Job Description Product Owner, Business Intelligence, Automation and AI Position Summary: At TireHub we move more than tires - we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers - because they're at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes - to challenges, to each other, and to getting it done right. The Product Owner, Business Intelligence, Automation and AI plans and coordinates the development, enhancement, prioritization, and adoption of AI, automation, data warehouse, and Power BI reporting products with TireHub's business partners. This position provides product leadership and subject matter expertise across intelligent automation, applied AI, enterprise data, analytics, and reporting solutions. The Product Owner serves as the primary liaison between business stakeholders, technical teams, vendors, and leadership to ensure product roadmaps, backlogs, and delivered solutions align with TireHub's strategic priorities, operational needs, governance standards, and measurable business value. This position reports to Director, Enterprise Applications. The individual must exhibit the following core TireHub commitments: Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships. Adventurous - What TireHub is set up to do is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique. Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we don't give up until we get to the end. Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done - and we do it fast. Role Specifics: Owns, maintains, and communicates the short-term and long-term product roadmap for AI, automation, enterprise data, data warehouse, and Power BI reporting capabilities. Partners with business leaders and stakeholders to identify, evaluate, and prioritize high-value use cases for AI, workflow automation, data products, dashboards, analytics, and reporting solutions. Maintains, and accounts for product team progress to business stakeholders in bi-weekly prioritization. Works with assigned architect and business analyst on ongoing process of backlog grooming and elaboration to prepare actionable content for sprints. Works with technical leads in assigned areas to plan appropriate level of resource augmentation with offshore partners. Works with the scrum master on fine tuning the agile process for the product team through retrospectives and metric analysis. Creates, maintains, and prioritizes product backlog items, user stories, epics, acceptance criteria, and delivery priorities based on business value, urgency, customer needs, resource availability, and strategic alignment. Acts as the primary point of contact between business stakeholders, data teams, automation engineers, AI enablement teams, vendors, and IT leadership to translate business needs into clear, actionable product requirements. Guides Agile delivery teams through successful delivery of committed sprints, ensuring requirements are clearly understood, business priorities are aligned, and blockers are resolved quickly. Collaborates with AI and automation technical resources to define, evaluate, pilot, and scale solutions such as workflow automation, robotic process automation, AI agents, copilots, generative AI-enabled processes, and intelligent business workflows. Works with data engineering and BI teams to support the data warehouse lifecycle, including source data intake, data modeling, transformation requirements, data quality expectations, metadata standards, and reporting needs. Partners with Power BI developers and business stakeholders to define trusted datasets, dashboards, reports, KPIs, data definitions, report adoption plans, and actionable insights for leadership and operational teams. Supports data governance, AI governance, security, privacy, and access control requirements by ensuring solutions follow TireHub standards for responsible AI use, data protection, and approved business processes. Prepares business cases, value estimates, adoption plans, and success metrics for AI, automation, data warehouse, and reporting initiatives. Evaluates emerging AI, automation, data, and analytics tools and capabilities, coordinating pilots and proofs of concept to determine business value and implementation feasibility. Facilitates QA, UAT, and validation activities to ensure delivered solutions meet business requirements, acceptance criteria, data quality expectations, and reporting accuracy standards. Monitors product performance, adoption, user feedback, and operational outcomes to continuously improve AI, automation, data, and reporting products. Communicates product priorities, delivery progress, risks, dependencies, and value realization to stakeholders and leadership in clear business terms. Facilitates problem resolution and removes blockers that are preventing delivery progression or product adoption. Participates and maintains ongoing training requirements through in-class, in-person, or computer-based learning modules, as assigned. Ensures individual adherence to TireHub policies, procedures, and guidelines. Completes other tasks assigned by their supervisor or another member of Leadership, as requested. Competencies: Product Vision & Strategy: Defines and communicates clear product direction, roadmaps, priorities, and value outcomes for AI, automation, data, and reporting capabilities. Innovation Orientation: Commits to creating and exploring new approaches, particularly at the intersection of AI, automation, and analytics, that enhance business performance. Data-Driven Decision Making: Uses analytics, KPIs, product metrics, business outcomes, and stakeholder feedback to guide product decisions and prioritization. Business & Financial Acumen: Understands ROI, cost savings, efficiency gains, risk reduction, adoption, and business value when evaluating product investments and delivery decisions. Optimizes Work Processes: Identifies and implements efficient processes, automation opportunities, and continuous improvement practices to improve business outcomes. Collaborates: Builds strong partnerships and works collaboratively with business stakeholders, IT teams, vendors, and leadership to achieve shared objectives. Agility and Adaptability: Thrives in an Agile environment and embraces new technologies, methods, and business priorities in a fast-moving AI, automation, and analytics landscape. Communication: Communicates technical concepts, data insights, product priorities, and delivery progress clearly to both technical and non-technical audiences. Education and Experience: Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Engineering, or a related field required; an equivalent combination of education and experience will be considered. 5+ years of experience in product ownership, business analysis, product management, data analytics, business intelligence, automation, enterprise applications, or a related technology delivery role. 2+ years of experience applying Agile project management methodologies, preferably using JIRA or a similar tool. Experience creating product roadmaps, managing backlogs, writing user stories, defining acceptance criteria, and supporting Agile and Scrum delivery teams. Experience working with AI, automation, workflow modernization, Power Platform, Copilot, generative AI, or related emerging technology capabilities preferred. Experience with data warehouse, data lake, Lakehouse, ETL/ELT, data modeling, data governance, or enterprise reporting concepts preferred. Experience with Power BI reporting, including dashboards, datasets, KPIs, data visualization, and report adoption preferred. Experience translating business requirements into technical specifications for data, reporting, automation, or AI-enabled solutions. Strong organizational skills and demonstrated ability to manage multiple initiatives and drive them to successful, on-schedule completion. Experience working and collaborating with remote or geographically distributed team members across multiple time zones. Experience in distribution, supply chain, retail, logistics, or a similar industry preferred. Required Knowledge, Skills, and Abilities: Strong understanding of product ownership practices, including Agile delivery methodologies, backlog management, sprint planning, and stakeholder prioritization. Ability to analyze business processes, identify operational pain points, and translate improvement opportunities into clearly defined product requirements for AI, automation, data, and reporting solutions. Working knowledge of Power BI, including dashboard and report development, dataset management, KPI definition, data definitions . click apply for full job details
Job Description Job Description Product Owner, Business Intelligence, Automation and AI Position Summary: At TireHub we move more than tires - we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers - because they're at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes - to challenges, to each other, and to getting it done right. The Product Owner, Business Intelligence, Automation and AI plans and coordinates the development, enhancement, prioritization, and adoption of AI, automation, data warehouse, and Power BI reporting products with TireHub's business partners. This position provides product leadership and subject matter expertise across intelligent automation, applied AI, enterprise data, analytics, and reporting solutions. The Product Owner serves as the primary liaison between business stakeholders, technical teams, vendors, and leadership to ensure product roadmaps, backlogs, and delivered solutions align with TireHub's strategic priorities, operational needs, governance standards, and measurable business value. This position reports to Director, Enterprise Applications. The individual must exhibit the following core TireHub commitments: Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships. Adventurous - What TireHub is set up to do is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique. Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we don't give up until we get to the end. Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done - and we do it fast. Role Specifics: Owns, maintains, and communicates the short-term and long-term product roadmap for AI, automation, enterprise data, data warehouse, and Power BI reporting capabilities. Partners with business leaders and stakeholders to identify, evaluate, and prioritize high-value use cases for AI, workflow automation, data products, dashboards, analytics, and reporting solutions. Maintains, and accounts for product team progress to business stakeholders in bi-weekly prioritization. Works with assigned architect and business analyst on ongoing process of backlog grooming and elaboration to prepare actionable content for sprints. Works with technical leads in assigned areas to plan appropriate level of resource augmentation with offshore partners. Works with the scrum master on fine tuning the agile process for the product team through retrospectives and metric analysis. Creates, maintains, and prioritizes product backlog items, user stories, epics, acceptance criteria, and delivery priorities based on business value, urgency, customer needs, resource availability, and strategic alignment. Acts as the primary point of contact between business stakeholders, data teams, automation engineers, AI enablement teams, vendors, and IT leadership to translate business needs into clear, actionable product requirements. Guides Agile delivery teams through successful delivery of committed sprints, ensuring requirements are clearly understood, business priorities are aligned, and blockers are resolved quickly. Collaborates with AI and automation technical resources to define, evaluate, pilot, and scale solutions such as workflow automation, robotic process automation, AI agents, copilots, generative AI-enabled processes, and intelligent business workflows. Works with data engineering and BI teams to support the data warehouse lifecycle, including source data intake, data modeling, transformation requirements, data quality expectations, metadata standards, and reporting needs. Partners with Power BI developers and business stakeholders to define trusted datasets, dashboards, reports, KPIs, data definitions, report adoption plans, and actionable insights for leadership and operational teams. Supports data governance, AI governance, security, privacy, and access control requirements by ensuring solutions follow TireHub standards for responsible AI use, data protection, and approved business processes. Prepares business cases, value estimates, adoption plans, and success metrics for AI, automation, data warehouse, and reporting initiatives. Evaluates emerging AI, automation, data, and analytics tools and capabilities, coordinating pilots and proofs of concept to determine business value and implementation feasibility. Facilitates QA, UAT, and validation activities to ensure delivered solutions meet business requirements, acceptance criteria, data quality expectations, and reporting accuracy standards. Monitors product performance, adoption, user feedback, and operational outcomes to continuously improve AI, automation, data, and reporting products. Communicates product priorities, delivery progress, risks, dependencies, and value realization to stakeholders and leadership in clear business terms. Facilitates problem resolution and removes blockers that are preventing delivery progression or product adoption. Participates and maintains ongoing training requirements through in-class, in-person, or computer-based learning modules, as assigned. Ensures individual adherence to TireHub policies, procedures, and guidelines. Completes other tasks assigned by their supervisor or another member of Leadership, as requested. Competencies: Product Vision & Strategy: Defines and communicates clear product direction, roadmaps, priorities, and value outcomes for AI, automation, data, and reporting capabilities. Innovation Orientation: Commits to creating and exploring new approaches, particularly at the intersection of AI, automation, and analytics, that enhance business performance. Data-Driven Decision Making: Uses analytics, KPIs, product metrics, business outcomes, and stakeholder feedback to guide product decisions and prioritization. Business & Financial Acumen: Understands ROI, cost savings, efficiency gains, risk reduction, adoption, and business value when evaluating product investments and delivery decisions. Optimizes Work Processes: Identifies and implements efficient processes, automation opportunities, and continuous improvement practices to improve business outcomes. Collaborates: Builds strong partnerships and works collaboratively with business stakeholders, IT teams, vendors, and leadership to achieve shared objectives. Agility and Adaptability: Thrives in an Agile environment and embraces new technologies, methods, and business priorities in a fast-moving AI, automation, and analytics landscape. Communication: Communicates technical concepts, data insights, product priorities, and delivery progress clearly to both technical and non-technical audiences. Education and Experience: Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Engineering, or a related field required; an equivalent combination of education and experience will be considered. 5+ years of experience in product ownership, business analysis, product management, data analytics, business intelligence, automation, enterprise applications, or a related technology delivery role. 2+ years of experience applying Agile project management methodologies, preferably using JIRA or a similar tool. Experience creating product roadmaps, managing backlogs, writing user stories, defining acceptance criteria, and supporting Agile and Scrum delivery teams. Experience working with AI, automation, workflow modernization, Power Platform, Copilot, generative AI, or related emerging technology capabilities preferred. Experience with data warehouse, data lake, Lakehouse, ETL/ELT, data modeling, data governance, or enterprise reporting concepts preferred. Experience with Power BI reporting, including dashboards, datasets, KPIs, data visualization, and report adoption preferred. Experience translating business requirements into technical specifications for data, reporting, automation, or AI-enabled solutions. Strong organizational skills and demonstrated ability to manage multiple initiatives and drive them to successful, on-schedule completion. Experience working and collaborating with remote or geographically distributed team members across multiple time zones. Experience in distribution, supply chain, retail, logistics, or a similar industry preferred. Required Knowledge, Skills, and Abilities: Strong understanding of product ownership practices, including Agile delivery methodologies, backlog management, sprint planning, and stakeholder prioritization. Ability to analyze business processes, identify operational pain points, and translate improvement opportunities into clearly defined product requirements for AI, automation, data, and reporting solutions. Working knowledge of Power BI, including dashboard and report development, dataset management, KPI definition, data definitions . click apply for full job details
Hiring Our Heroes
Arlington, Virginia
Job Description Job Description ZERO TRUST PROJECT LEAD POSITION DESCRIPTION General Description Zermount Inc. is seeking a Zero Trust (ZT) Technical Project Lead with demonstrated experience in providing enterprise support services while leveraging industry-standard service management best practices. We are looking for a team lead that is able to withstand even the most complex environments for our ZT enterprise initiative. The Project Lead will lead, plan, and manage Information Technology (IT) projects as well as provide leadership and guiding technical staff. They will integrate business and technical aspects of projects that are a part of the implementation of ZT principles across all pillars of ZT (identity, device, network, application and workload and data) to assist the client in meeting the requirements set forth by EO 14028 and OMB M 22-09. The Project Lead will also assess business implications, monitor progress in meeting deadlines, standards, and customer cost targets. They will establish goals and plans that meet project objectives and have expert technical knowledge. In addition, they will direct and control activities for a client, having overall responsibility for financial management, methods, and staffing to ensure all technical requirements are met. This position also includes client reporting and interfacing with senior management to communicate a program's progress and achievements. Decision-making and domain knowledge may have a critical impact on project implementation. The Project Lead will supervise others. Duties & Responsibilities: The ZT Project Lead will lead the Zermount ZT Team to ensure we are designing and implementing solutions and services that secure federal networks and provide leadership required to meet the objectives of EO 14028 and other Federal requirements. Additionally, the ZT Project Lead will provide support and services to include: Analyze, plan, and develop scheduled project plans. Responsible for program Integrated Master Scheduler (IMS) updates, health, and accuracy. Responsible for quality management and control. Provide SME support and technical guidance to information system stakeholders on the implementation of ZTA requirements and participate in design reviews upon request. Ensure alignment of the ZTA program to organizational strategies and deliver anticipated benefits of ZT as outlined in EO 14028, the CISA ZT Maturity Model, and the NIST SP 800-207. Creating month status reports (progression week 1 through week 4 buildup). Perform risk management to include: (1) managing risk across the ZTA program as the landscape evolves; and (2) integrating ZTA into the existing TSA and DHS Cybersecurity Risk Management framework and CISA's ZT maturity model with the goal of the solution reaching the optimal state of maturity. Draft Program Management Report (PMR). Responsible for streamlining and automating enterprise-level performance reporting for all components within ZT, aligned with existing and planned reporting and analytics structures and tools, such as the Continuous Diagnostics and Mitigation (CDM) dashboards, FISMA reporting, and Information Security Continuous Monitoring (ISCM) dashboards Establishing and implementing training processes for all technical personnel. Assisting the TSA in its ultimate goal of meeting or exceeding the "managed and measurable" IG CIGIE FISMA maturity metrics as amended, for all applicable security functions for ZT. Develop, implement, and maintain enterprise-wide performance metrics and measures for the ZT initiative Determine and define clear deliverables, roles, and responsibilities for all resources. Create performance measures for all resources. Managing, updating and maintaining all ZTA program governance documents including but not limited to the ZTA roadmap; which articulates the programs vision, scope, and direction Responsible for development of all management artifacts (PMP, IMP, CP, RMP, QAP, etc.). Ensure program integration and operational processes and procedures. Establishing and maintaining relationships among all stakeholders. Design Dashboard/Briefings to measure program performance, schedule, etc. Responsible for mapping ZTA capabilities outlined throughout this PWS, existing capabilities within the department, and new capabilities the Contractor recommends be added to the Pillars of Zero Trust (currently 5 Pillars) as outlined by CISA, M-21-31, M-22-01, M-22-09, EO 14028, NIST 800-207, and any future memoranda, executive orders, and standards. The Contractor must also map new ZTA capabilities that the Government approves Mentor Team Leads Review and ensure all deliverables are submitted in accordance with the SOW and in a timely manner. Cross task area support as required. Qualifications: A minimum of 10 years of IT cybersecurity management experience including 3 years of direct support for the US Government OR a relevant Bachelor's degree in IT, computer science, business or engineering and 10+ years of IT cybersecurity management experience including 3 years of direct support for the US Government. Experience communicating effectively, both oral and written, with technical, non-technical, and executive-level customers. Understanding and experience with Agile Principles, processes and methodologies. Knowledge of EO 14028, OMB M 22-09, Federal, DoD, and CISA Zero Trust Architecture, Maturity Model, and Technical Reference Architectures. Excellent communication, collaboration, and problem-solving skills. Ability to work independently and as part of a team. Demonstrated ability to effectively engage and manage relationships with highly political clients while maintaining a professional demeanor, exhibiting patience, and navigating sensitive situations with tact. Ability to navigate complex and politically sensitive client environments with professionalism, patience, and tact. Zero Trust Specific Qualifications: System Maturity Model Expertise in the implementation, strategy, roadmap, and analysis with regard to TSA systems and the TSA Enterprise and meet the requirements outlined in M-21-31, M-22-09, EO 14028, and NIST SP 800-207. Working experience associated with implementing all of the Zero Trust requirements based off of the CISA Zero Trust Maturity Model 2.0 and any upcoming versions. SME level knowledge within at least one of the five Zero Trust Maturity Model pillars as defined by the CISA Maturity Model. Possess a deep understanding and proficiency in the principles, technologies, and best practices associated with the pillars. Provide strategic guidance and expertise in implementing Zero Trust within their assigned pillar, ensuring alignment with industry standards and organizational objectives. Deep understanding of the criteria needed to meet the Federal Governments intended, optimal, maturity level. Ability to develop a Zero Trust Maturity Roadmap to achieve optimal maturity level. Education: Minimum of a Bachelor of Science (or higher) in one of the following: computer engineering, computer science, IT, cyber security, or a related field. Relevant years of experience may be used in substitution for situations where the candidate does not have a Bachelor's degree in the required field. Clearance level: Minimum of an active Secret Clearance. Work Location: Hybrid - Primarily Remote. Required onsite work at the client location in Springfield, VA and Zermount HQ in Arlington, VA., will be occasionally required. Hours of Operation: Business Hours: 8:00 am EST - 4:30 pm EST.
Job Description Job Description ZERO TRUST PROJECT LEAD POSITION DESCRIPTION General Description Zermount Inc. is seeking a Zero Trust (ZT) Technical Project Lead with demonstrated experience in providing enterprise support services while leveraging industry-standard service management best practices. We are looking for a team lead that is able to withstand even the most complex environments for our ZT enterprise initiative. The Project Lead will lead, plan, and manage Information Technology (IT) projects as well as provide leadership and guiding technical staff. They will integrate business and technical aspects of projects that are a part of the implementation of ZT principles across all pillars of ZT (identity, device, network, application and workload and data) to assist the client in meeting the requirements set forth by EO 14028 and OMB M 22-09. The Project Lead will also assess business implications, monitor progress in meeting deadlines, standards, and customer cost targets. They will establish goals and plans that meet project objectives and have expert technical knowledge. In addition, they will direct and control activities for a client, having overall responsibility for financial management, methods, and staffing to ensure all technical requirements are met. This position also includes client reporting and interfacing with senior management to communicate a program's progress and achievements. Decision-making and domain knowledge may have a critical impact on project implementation. The Project Lead will supervise others. Duties & Responsibilities: The ZT Project Lead will lead the Zermount ZT Team to ensure we are designing and implementing solutions and services that secure federal networks and provide leadership required to meet the objectives of EO 14028 and other Federal requirements. Additionally, the ZT Project Lead will provide support and services to include: Analyze, plan, and develop scheduled project plans. Responsible for program Integrated Master Scheduler (IMS) updates, health, and accuracy. Responsible for quality management and control. Provide SME support and technical guidance to information system stakeholders on the implementation of ZTA requirements and participate in design reviews upon request. Ensure alignment of the ZTA program to organizational strategies and deliver anticipated benefits of ZT as outlined in EO 14028, the CISA ZT Maturity Model, and the NIST SP 800-207. Creating month status reports (progression week 1 through week 4 buildup). Perform risk management to include: (1) managing risk across the ZTA program as the landscape evolves; and (2) integrating ZTA into the existing TSA and DHS Cybersecurity Risk Management framework and CISA's ZT maturity model with the goal of the solution reaching the optimal state of maturity. Draft Program Management Report (PMR). Responsible for streamlining and automating enterprise-level performance reporting for all components within ZT, aligned with existing and planned reporting and analytics structures and tools, such as the Continuous Diagnostics and Mitigation (CDM) dashboards, FISMA reporting, and Information Security Continuous Monitoring (ISCM) dashboards Establishing and implementing training processes for all technical personnel. Assisting the TSA in its ultimate goal of meeting or exceeding the "managed and measurable" IG CIGIE FISMA maturity metrics as amended, for all applicable security functions for ZT. Develop, implement, and maintain enterprise-wide performance metrics and measures for the ZT initiative Determine and define clear deliverables, roles, and responsibilities for all resources. Create performance measures for all resources. Managing, updating and maintaining all ZTA program governance documents including but not limited to the ZTA roadmap; which articulates the programs vision, scope, and direction Responsible for development of all management artifacts (PMP, IMP, CP, RMP, QAP, etc.). Ensure program integration and operational processes and procedures. Establishing and maintaining relationships among all stakeholders. Design Dashboard/Briefings to measure program performance, schedule, etc. Responsible for mapping ZTA capabilities outlined throughout this PWS, existing capabilities within the department, and new capabilities the Contractor recommends be added to the Pillars of Zero Trust (currently 5 Pillars) as outlined by CISA, M-21-31, M-22-01, M-22-09, EO 14028, NIST 800-207, and any future memoranda, executive orders, and standards. The Contractor must also map new ZTA capabilities that the Government approves Mentor Team Leads Review and ensure all deliverables are submitted in accordance with the SOW and in a timely manner. Cross task area support as required. Qualifications: A minimum of 10 years of IT cybersecurity management experience including 3 years of direct support for the US Government OR a relevant Bachelor's degree in IT, computer science, business or engineering and 10+ years of IT cybersecurity management experience including 3 years of direct support for the US Government. Experience communicating effectively, both oral and written, with technical, non-technical, and executive-level customers. Understanding and experience with Agile Principles, processes and methodologies. Knowledge of EO 14028, OMB M 22-09, Federal, DoD, and CISA Zero Trust Architecture, Maturity Model, and Technical Reference Architectures. Excellent communication, collaboration, and problem-solving skills. Ability to work independently and as part of a team. Demonstrated ability to effectively engage and manage relationships with highly political clients while maintaining a professional demeanor, exhibiting patience, and navigating sensitive situations with tact. Ability to navigate complex and politically sensitive client environments with professionalism, patience, and tact. Zero Trust Specific Qualifications: System Maturity Model Expertise in the implementation, strategy, roadmap, and analysis with regard to TSA systems and the TSA Enterprise and meet the requirements outlined in M-21-31, M-22-09, EO 14028, and NIST SP 800-207. Working experience associated with implementing all of the Zero Trust requirements based off of the CISA Zero Trust Maturity Model 2.0 and any upcoming versions. SME level knowledge within at least one of the five Zero Trust Maturity Model pillars as defined by the CISA Maturity Model. Possess a deep understanding and proficiency in the principles, technologies, and best practices associated with the pillars. Provide strategic guidance and expertise in implementing Zero Trust within their assigned pillar, ensuring alignment with industry standards and organizational objectives. Deep understanding of the criteria needed to meet the Federal Governments intended, optimal, maturity level. Ability to develop a Zero Trust Maturity Roadmap to achieve optimal maturity level. Education: Minimum of a Bachelor of Science (or higher) in one of the following: computer engineering, computer science, IT, cyber security, or a related field. Relevant years of experience may be used in substitution for situations where the candidate does not have a Bachelor's degree in the required field. Clearance level: Minimum of an active Secret Clearance. Work Location: Hybrid - Primarily Remote. Required onsite work at the client location in Springfield, VA and Zermount HQ in Arlington, VA., will be occasionally required. Hours of Operation: Business Hours: 8:00 am EST - 4:30 pm EST.
