Global ITP Implementation Analyst

AFL•Duncan, SC

1d•Hybrid

About The Position

AFL is seeking a Global ITP Implementation Analyst to join its Integrated Tactical Planning team at the corporate office in Duncan, South Carolina. The role works with cross-functional teams across commercial, client success, demand and supply planning, scheduling, purchasing, operations, finance, data governance, IT, and business intelligence. The analyst works independently, leads smaller improvement initiatives, supports larger global workstreams, and helps teams replace manual processes with practical AI-enabled approaches. The role translates business needs into solutions that reduce preparation effort, accelerate root-cause analysis, improve decision-making, and strengthen teams’ ability to make and keep customer promise dates. It supports ITP process implementation, meeting effectiveness, automation, reporting, change readiness, adoption, and sustainment. The analyst applies responsible AI practices and coordinates technical and functional specialists when needed. The role does not own forecasts, supply plans, schedules, purchasing decisions, customer commitments, data validation, or final technology and policy approvals. The position is based in Duncan, South Carolina, with a hybrid schedule and an expectation of working onsite three days per week. It supports global teams and may require travel and meetings across time zones. Onsite expectations may vary with business needs, project activities, workshops, and collaboration requirements.

Requirements

Bachelor’s degree in Business, Supply Chain, Operations, Information Systems, Industrial Engineering, Project Management, or a related field; candidates with nontraditional backgrounds may be considered when project experience demonstrates the required capabilities.
Demonstrated practical use of AI in projects, with the ability to learn new AI capabilities and apply them to real business problems.
Relevant experience demonstrated through professional work, internships, project portfolios, or applied coursework.
Ability to collaborate across functions while independently organizing work, removing barriers, escalating risks, and driving deliverables to closure.
Experience identifying business use cases and implementing process improvements, automation, or low-code solutions.
Strong Excel skills and the ability to define reporting needs, interpret results, and communicate business insights.
Clear written and verbal communication, facilitation, collaboration, and change-leadership skills.
Commitment to responsible AI use, data privacy, information security, and human oversight.

Nice To Haves

Power BI experience, including simple report creation, Power Query, and basic DAX; advanced semantic-model development is not required.
Experience with Power Automate or similar low-code workflow tools.
Exposure to supply chain, manufacturing, planning, ITP, IBP, ERP/MRP, or enterprise process implementation.
Experience with Oracle or Kinaxis.

Responsibilities

Partner with cross-functional teams to lead assigned ITP implementation and improvement projects, translating decisions into plans, owners, milestones, risks, and actions.
Identify practical AI and automation use cases, prioritize opportunities, build low-code solutions where appropriate, and coordinate specialists for more complex development.
Use AI to streamline meeting preparation and follow-up, summarize exceptions, support root-cause analysis, draft status updates and standard work, and surface potential solutions for human review.
Challenge manual ways of working, demonstrate improved approaches, and help teams adopt AI-enabled processes.
Define Power BI reporting requirements and work with BI specialists on complex solutions; build simple reports using existing datasets, Power Query, and basic DAX when appropriate.
Interpret Power BI and other planning outputs, using AI-assisted analysis where appropriate to identify trends, exceptions, root causes, and decision needs.
Create and maintain project plans, process maps, standard work, decision logs, action trackers, risk logs, and implementation updates.
Support priority ITP meetings through preparation, facilitation, decision capture, action follow-up, and escalation of missed commitments.
Work with Data Governance and assigned data owners to clarify business impact and route data concerns; data validation and remediation are outside the role’s ownership.
Apply responsible AI practices, including appropriate data handling, information security, human review, transparency, and compliance with company standards.
Coordinate readiness, testing, training, deployment, adoption, and sustainment for assigned process and automation changes.