Pierce Professional Resources

• Analyze business processes and risk management requirements to design solutions using ServiceNow IRM modules. • Configure and customize ServiceNow IRM components such as Risk Management, Policy and Compliance Management, Vendor Risk Management, and Audit Management. • Collaborate with stakeholders to gather requirements and translate them into functional specifications. • Lead implementation projects, manage timelines, and ensure successful delivery of IRM solutions. • Provide training and support to end-users and administrators of the ServiceNow IRM platform. • Develop reports, dashboards, and metrics to provide insights into risk posture and compliance status. • Stay updated on industry best practices and ServiceNow IRM platform enhancements to continuously improve solutions.

The ServiceNow IRM (Integrated Risk Management) Consultant at Pierce Technology Corp will be responsible for implementing and optimizing the ServiceNow IRM suite to help organizations manage risk effectively and ensure compliance with regulatory requirements. - Analyze business processes and risk management requirements to design solutions using ServiceNow IRM modules. - Configure and customize ServiceNow IRM components such as Risk Management, Policy and Compliance Management, Vendor Risk Management, and Audit Management. - Collaborate with stakeholders to gather requirements and translate them into functional specifications. - Lead implementation projects, manage timelines, and ensure successful delivery of IRM solutions. - Provide training and support to end-users and administrators of the ServiceNow IRM platform. - Develop reports, dashboards, and metrics to provide insights into risk posture and compliance status. - Stay updated on industry best practices and ServiceNow IRM platform enhancements to continuously improve solutions.

• We are seeking a highly analytical and detail-oriented Financial Analyst to join our team. • In this role, you will play a key part in the financial planning and analysis (FP&A) process, providing actionable insights that drive strategic decision-making. • The ideal candidate is an accountable professional who excels at managing complex datasets, maintaining financial systems, and communicating financial narratives to stakeholders across the organization.

We are seeking a highly analytical and detail-oriented Financial Analyst to join our team. In this role, you will play a key part in the financial planning and analysis (FP&A) process, providing actionable insights that drive strategic decision-making. The ideal candidate is an accountable professional who excels at managing complex datasets, maintaining financial systems, and communicating financial narratives to stakeholders across the organization.

• Lead and manage data migration projects within the financial services sector, ensuring seamless transfer of data between systems. • Develop detailed project plans, timelines, and risk mitigation strategies related to data migration activities. • Collaborate closely with business analysts, data architects, IT teams, and stakeholders to understand data requirements and migration scope. • Oversee data validation, cleansing, and testing to ensure data integrity and accuracy post-migration. • Coordinate resources and manage dependencies to meet project deadlines and quality standards. • Ensure compliance with regulatory requirements and data governance policies throughout the migration process. • Provide regular status updates, reports, and documentation to senior management and stakeholders. • Drive continuous improvement initiatives to optimize data migration methodologies and best practices.

- Lead and manage data migration projects within the financial services sector, ensuring seamless transfer of data between systems. - Develop detailed project plans, timelines, and risk mitigation strategies related to data migration activities. - Collaborate closely with business analysts, data architects, IT teams, and stakeholders to understand data requirements and migration scope. - Oversee data validation, cleansing, and testing to ensure data integrity and accuracy post-migration. - Coordinate resources and manage dependencies to meet project deadlines and quality standards. - Ensure compliance with regulatory requirements and data governance policies throughout the migration process. - Provide regular status updates, reports, and documentation to senior management and stakeholders. - Drive continuous improvement initiatives to optimize data migration methodologies and best practices.

- Manage end-to-end Agile testing projects related to data management, data quality, and data migration within banking systems. - Collaborate with product owners, business analysts, developers, and QA teams to define test strategies, plans, and acceptance criteria. - Coordinate the execution of test cases, monitor testing progress, and track defects to resolution. - Facilitate Agile ceremonies such as daily stand-ups, sprint planning, retrospectives, and demos with a focus on testing activities. - Identify potential risks and blockers related to testing and work with teams to mitigate them promptly. - Ensure compliance with banking regulatory standards and data governance policies throughout testing processes. - Provide regular reports and updates to senior management and stakeholders regarding testing status and quality metrics.

As a Project Manager specializing in Agile Testing for Data projects within the Banking Industry, you will oversee and coordinate testing initiatives to ensure the quality and integrity of data-driven solutions. You will work closely with Agile teams, stakeholders, and testing professionals to deliver high-quality outcomes in a fast-paced banking environment. - Manage end-to-end Agile testing projects related to data management, data quality, and data migration within banking systems. - Collaborate with product owners, business analysts, developers, and QA teams to define test strategies, plans, and acceptance criteria. - Coordinate the execution of test cases, monitor testing progress, and track defects to resolution. - Facilitate Agile ceremonies such as daily stand-ups, sprint planning, retrospectives, and demos with a focus on testing activities. - Identify potential risks and blockers related to testing and work with teams to mitigate them promptly. - Ensure compliance with banking regulatory standards and data governance policies throughout testing processes. - Provide regular reports and updates to senior management and stakeholders regarding testing status and quality metrics.

Pierce Technology Corp is seeking an AI Engineer - SDLC Process Improvement to enhance our software development lifecycle (SDLC) by integrating cutting-edge AI technologies and automating key processes. This role focuses on leveraging AI to streamline development workflows, improve code quality, and accelerate delivery timelines across engineering teams. Key Responsibilities: - Analyze current SDLC processes to identify opportunities for AI-driven improvements and automation. - Design and implement AI-powered tools to support code review, testing, deployment, and monitoring. - Collaborate with software engineering, QA, and DevOps teams to integrate AI solutions seamlessly into existing workflows. - Develop metrics and evaluation frameworks to measure the effectiveness and impact of AI enhancements on SDLC efficiency. - Drive continuous improvement initiatives by leveraging data-driven insights and A/B testing of AI tools within the development lifecycle. This role requires a blend of AI engineering expertise, process analysis skills, and cross-functional collaboration to transform the way our engineering teams build and deliver software.

• Analyze current SDLC processes to identify opportunities for AI-driven improvements and automation. • Design and implement AI-powered tools to support code review, testing, deployment, and monitoring. • Collaborate with software engineering, QA, and DevOps teams to integrate AI solutions seamlessly into existing workflows. • Develop metrics and evaluation frameworks to measure the effectiveness and impact of AI enhancements on SDLC efficiency. • Drive continuous improvement initiatives by leveraging data-driven insights and A/B testing of AI tools within the development lifecycle.