Implementation Manager

Intelligent Audit•Rochelle Park, NJ

2d•$84,000 - $102,000

About The Position

The Implementation Manager oversees the successful onboarding and deployment of new clients or systems and serves as the primary point of contact during implementation. The role manages timelines, resources, and cross-functional collaboration to ensure project milestones are met. Intelligent Audit is a freight audit and business analytics technology company that uses big data to help customers reduce inefficiencies in global transportation spending. The manager leads projects from requirements definition through deployment, defining and documenting customer requirements, deliverables, acceptance criteria, and measures of success. They maintain project scope, schedules, budget estimations, implementation plans, and risk mitigation; manage changes, dependencies, risks, and issues; and communicate impacts or escalate as needed. The role coordinates customer data onboarding, system configuration, integrations, and data validation with technical and operational teams, while managing several software implementations at once. The position works collaboratively across departments and with customer stakeholders, communicates required actions, understands the business impact of issues related to IT-owned solutions, and ensures customer training, implementation documentation, and structured handoffs to Client Success and Operations. It also involves using company-approved AI tools to improve planning, documentation, meeting summaries, status reporting, and workflow efficiency; identifying automation opportunities; sharing effective approaches; and reviewing AI-generated work for accuracy while protecting confidential information.

Requirements

Bachelor’s degree in Computer Science, Information Technology, Management Information Systems, Business, or a related field.
Minimum of 3 years of relevant experience.
Demonstrated experience successfully implementing technology solutions.
Demonstrated ability to use AI tools in everyday work, with curiosity and willingness to learn, experiment, and adopt new technology.
Ability to explain how AI or automation has been used to solve a business problem, improve quality, or save time.
Strong verbal, written, and interpersonal communication skills.
Experience with JIRA and ticket management.
Experience with Smartsheet and Confluence.
Experience with release processes and the Software Development Life Cycle (SDLC).
Experience delivering Freight Rate and Auditing software implementations.
PMP or equivalent professional project management certification.

Responsibilities

Lead projects from requirements definition through deployment, including schedules, scope documentation, budget estimates, implementation plans, and risk mitigation based on customer feedback.
Define and document customer requirements, project deliverables, acceptance criteria, and implementation success measures.
Manage scope changes, dependencies, risks, and issues; communicate impacts on timelines and resources and escalate when needed.
Coordinate customer data onboarding, system configuration, integrations, and data validation with technical and operational teams.
Create and adhere to customer project timelines.
Collaborate with other departments and clearly communicate actions required from internal and external parties.
Understand the business impacts of issues and their relationship to IT-owned solutions.
Ensure customer training, implementation documentation, and structured handoffs to Client Success and Operations are completed.
Build commitment and trust with customer stakeholders, understand user requirements, articulate the business value and context of solutions, and uncover motivations behind decisions and actions.
Manage multiple software implementation projects simultaneously.
Use company-approved AI tools to improve implementation planning, documentation, meeting summaries, status reporting, and workflow efficiency.
Identify opportunities to automate repetitive tasks and improve implementation speed, accuracy, and customer experience; share successful approaches with the team.
Review AI-generated work for accuracy, apply sound judgment, and protect confidential company and customer information in accordance with company policies.