Sr. IT Project Manager

Shermco Industries, Inc.•Irving, TX

2d•$125,000 - $135,000

About The Position

Shermco is seeking an experienced, highly motivated Sr. IT Project Manager to lead delivery of application, infrastructure, security, data, and AI initiatives. The role works closely with operational processes and aligns development teams, platform administrators, and business stakeholders to deliver high-value initiatives. It is responsible for project governance, cross-functional dependencies, and execution across multiple IT workstreams, requiring a strong working understanding of the Software Development Lifecycle (SDLC) and the Agent Development Lifecycle (ADLC) for AI agents and automations. The position is based in Dallas/Irving, is in the Information Technology department, and reports to the Chief Information Officer. Candidates must be legally authorized to work in the United States without current or future employer sponsorship; Shermco does not provide visa sponsorship for this position.

Requirements

At least 5 years of experience as a Project Manager, Technical Project Manager, Product Owner, or Senior Business Systems Analyst.
Direct accountability for delivering software development projects in Salesforce or Business Central.
Strong understanding of project management and Agile methodologies and their application across the SDLC and ADLC.
Excellent communication and interpersonal skills, with the ability to interact effectively with technical and non-technical stakeholders.
Proven ability to manage multiple priorities and projects in a fast-paced environment.
Strong analytical skills and ability to translate data into actionable insights.
Technical acumen to understand software development processes, AI agent development—including prompting, grounding, evaluation, and monitoring—and IT systems.
Problem-solving skills and a detail-oriented mindset.
Legally authorized to work in the United States without current or future employer sponsorship.

Nice To Haves

Bachelor’s degree in Technology, Business, or a related field.
Advanced degree or certification in project management or Agile methodologies.
Hands-on exposure to AI agent or automation delivery, such as Microsoft Copilot Studio, Power Automate, Claude, or similar.
PMP, Certified Scrum Master (CSM), Certified Scrum Product Owner (CSPO), or similar project management or Agile certification.

Responsibilities

Lead planning, execution, and delivery of multiple concurrent IT projects across applications, infrastructure, security, and AI initiatives.
Manage project delivery across the full SDLC, including requirements, design, build, test, release, and support, with appropriate quality gates and approvals.
Manage AI agent and automation delivery across the ADLC, including use case definition, build, evaluation and testing, security and governance review, deployment, monitoring, and ongoing support.
Establish project governance, tracking, and reporting processes to measure progress, risks, and value delivery.
Ensure projects are prioritized and aligned with enterprise priorities, and escalate trade-offs involving scope, schedule, and budget.
Coordinate dependencies across Infrastructure, Security, Data, and Development pillars.
Work with development teams and platform administrators to ensure alignment with architecture and operational standards.
Provide guidance and mentoring to project coordinators, analysts, and junior project managers.
Foster accountability, collaboration, and continuous improvement.
Ensure milestones are met, risks are mitigated, and business outcomes are achieved on time and within budget.
Serve as an escalation point for project issues and proactively resolve blockers.
Act as the central liaison between IT, business stakeholders, and leadership.
Communicate system updates, project progress, and business impacts effectively.
Manage stakeholder expectations through transparent reporting and prioritization.
Ensure IT projects adhere to compliance standards, quality benchmarks, and documentation requirements, including IT policies for AI agents, connectors, and automations.
Support enterprise change management and transformation efforts, including training, communications, and adoption.