Pierce Professional Resources

Business Analyst

• - Gather and analyze business requirements from stakeholders to understand their needs and objectives.
• - Document detailed specifications and process flows to guide development teams.
• - Collaborate with cross-functional teams to design effective business solutions.
• - Facilitate workshops and meetings to elicit requirements and validate solutions.
• - Support testing efforts to ensure that solutions meet business requirements.
• - Provide training and support to users for new systems or enhancements.
• - Stay updated on industry trends and best practices to continuously improve processes.

Project Manager

• Develop comprehensive project plans, ensuring alignment with strategic objectives and stakeholder expectations.
• Lead project kick-off meetings to set expectations and timelines; communicate project updates regularly to stakeholders.
• Monitor project progress, identifying any potential risks or roadblocks, and implement corrective actions as needed.
• Coordinate resources, develop budgets, and allocate tasks amongst team members to meet project demands.
• Facilitate collaboration across teams to ensure a smooth workflow and adherence to project timelines.
• Report project status, outcomes, and success metrics to senior management, making recommendations for process improvements.
• Conduct post-project evaluations to assess successes and identify areas for future enhancement.

Analyst

• Designing and developing data workflows using Alteryx to automate and streamline data processing tasks.
• Collaborating with business units to gather requirements and understand data challenges.
• Creating visualizations and reports that clearly communicate analytical findings to non-technical stakeholders.
• Performing data validation and quality checks to ensure the integrity of data used in analyses.
• Staying updated on the latest Alteryx features and best practices to improve workflow efficiency.
• Providing training and support to team members on Alteryx tools and techniques.

Alteryx Analyst

DevOps Engineer

• Design, implement, and manage CI/CD pipelines for application deployment.
• Develop and maintain cloud infrastructure primarily in AWS, with secondary responsibilities in Azure, using IaC tools like Terraform or CloudFormation.
• Manage containerized applications using Docker and orchestration platforms like Kubernetes (EKS/AKS).
• Implement and manage monitoring, logging, and alerting solutions to ensure platform reliability and performance.
• Collaborate with development teams to optimize application architecture for the cloud.
• Ensure the security and compliance of the cloud infrastructure.

Product Manager

• Oversee the development and management of products in the private wealth management sector
• Collaborate with stakeholders to understand market needs and deliver on product vision
• Lead cross-functional teams in product design, development, and launch
• Analyze product performance and gather user feedback for continuous improvement
• Ensure compliance with regulatory requirements and industry standards
• Conduct training sessions for internal teams and clients on product features and functionalities
• Maintain documentation related to product workflows, specifications, and user instructions
• Foster strong relationships with clients and internal teams to drive successful product adoption

Product Manager – Private Wealth Management

• Manage the end-to-end project lifecycle for Dynamics 365 implementations, from initiation through deployment and post-implementation support.
• Collaborate with stakeholders to gather requirements and translate them into technical specifications for Dynamics 365.
• Develop project plans, timelines, and budgets, ensuring adherence to deadlines and resource allocations.
• Coordinate activities among cross-functional teams including developers, functional consultants, and other involved parties.
• Monitor project progress, identify risks and issues, and implement mitigation strategies as needed.
• Facilitate meetings with stakeholders to provide project updates and gather feedback throughout the project lifecycle.
• Ensure thorough documentation of processes, configurations, and project deliverables.
• Lead training sessions and workshops for end-users to ensure successful adoption of Dynamics 365 solutions.

Project Manager – Dynamics365

ServiceNow

• Utilize ServiceNow platform to streamline and optimize IT service management processes for clients.
• Gather and document business requirements related to ServiceNow implementations and enhancements.
• Conduct workshops with stakeholders to identify pain points and areas for improvement in service delivery.
• Collaborate with development teams to translate business needs into functional specifications.
• Support user acceptance testing (UAT) and provide training to end-users on ServiceNow functionalities.
• Stay updated on ServiceNow developments and industry best practices to provide informed recommendations.

Business Analyst – ServiceNow

Software Engineer

• - Design, develop, and maintain SSRS and Power BI paginated reports that meet business requirements and adhere to established standards.
• - Collaborate with stakeholders to gather report requirements and translate business needs into technical specifications.
• - Optimize report performance and ensure data accuracy and integrity across all reporting solutions.
• - Implement best practices for report design, including layout, formatting, and user experience.
• - Troubleshoot and resolve issues related to report generation and data retrieval.
• - Provide training and support to end-users on the effective use of SSRS and Power BI reports.
• - Document reporting solutions, including technical specifications and user guides.
• - Stay up-to-date with new features and enhancements in SSRS and Power BI to continuously improve reporting capabilities.

SSRS/PowerBI Developer

Financial Planning and Analysis

• Design user interfaces that align with business requirements and enhance user satisfaction.
• Develop wireframes, prototypes, and high-fidelity designs that clearly communicate design intent.
• Collaborate closely with product owners, developers, and stakeholders to refine function and usability.
• Conduct user research and usability testing to gather insights and iterate on designs.
• Maintain updated documentation of design specifications, guidelines, and best practices.
• Analyze user feedback and metrics to inform design improvements.
• Stay current with industry trends, design best practices, and emerging technologies.

UX/UI Designer, Financial Services

IT Support

• Lead the infrastructure team as IT Infrastructure Operations Manager, providing strategic and hands-on leadership.
• Oversee the design, implementation, and maintenance of IT infrastructure to ensure high availability, scalability, and security.
• Design and implement robust infrastructure solutions (on-premises, hybrid servers) to support business operations.
• Administer network architecture, server infrastructure (Windows and Linux), storage systems, and disaster recovery planning.
• Implement and manage virtualization platforms (vSphere and vCenter).
• Manage Active Directory, DNS, DHCP, and Group Policies.
• Ensure compliance with security policies, data protection regulations, and industry best practices.
• Monitor system performance and proactively address issues to minimize downtime.
• Collaborate with other IT and business leaders to align infrastructure strategy with organizational goals.
• Maintain documentation for system configurations, procedures, and troubleshooting.
• Provide coaching and training to the Helpdesk Team.

IT Manager

Machine Learning Engineer

• We are seeking a highly skilled MLOps Engineer to design, build, and operate scalable machine learning infrastructure that supports modern AI applications.
• Build and operate robust data, embedding, and prompt pipelines to support production AI/ML workloads.
• Maintain a secure and scalable system for managing AI agent identity, versioning, and registration.
• Deliver automated workflows for model deployment and infrastructure provisioning using modern DevOps tooling.
• Design and implement primitives for distributed coordination and orchestration of ML agents and services.
• Implement observability, monitoring, and guarded execution frameworks to ensure safe and reliable AI system behavior.

MLOps Engineer

Risk

• We are seeking a Governance & Risk Specialist to establish and oversee the governance frameworks that ensure safe, compliant, and responsible use of AI systems.
• Classify risks for AI systems and complete Data Protection Impact Assessments (DPIA) and Privacy Impact Assessments (PIA).
• Maintain “agent cards” that record purpose, limitations, lineage, and performance characteristics of deployed AI agents.
• Map organizational practices to regulatory and industry frameworks (NIST AI RMF, ISO standards, EU AI Act, GDPR, etc.).
• Operate governance checkpoints across the AI lifecycle, ensuring audit trails for key decisions.
• Require joint human+agent metrics and evidence of adoption to validate responsible use.
• Ensure contracts with vendors include appropriate language to limit ownership and liability for AI-related incidents.
• Partner with engineering, security, and legal teams to refine governance practices as AI technologies and regulations evolve.

Governance and Risk Specialist

AI Engineer

• Design, implement, and optimize advanced AI systems balancing quality, performance, and cost.
• Architect inference and RAG pipelines; design manager/worker agent patterns with deterministic fallback mechanisms for reliability.
• Build robust evaluation harnesses and develop simulation-based training pipelines to improve model robustness.
• Tune AI systems across quality, latency, and cost dimensions for scalable production performance.
• Run A/B tests and continuous feedback loops to measure system performance and guide improvements.
• Collaborate with product and design teams to ensure AI outputs integrate into workflows with intuitive, high-quality UX.

Security Engineer

• Ensure advanced AI systems are designed and operated with the highest levels of security, compliance, and reliability.
• Define threat models for AI workflows, including data misuse, privilege escalation, and model abuse.
• Implement guardrails and access controls (DLP, secret management, RBAC/ABAC) for AI pipelines.
• Enforce bounded autonomy and human-in-the-loop approvals for critical agent actions.
• Build monitoring systems to detect model drift, hallucinations, and anomalous behavior.
• Integrate AI decision-logging into enterprise SIEM platforms for traceability and compliance.
• Lead red-team adversarial testing to expose vulnerabilities and strengthen resilience.
• Develop and maintain incident response runbooks coordinating engineering and security teams.