Job Description
A client of Insight Global is seeking a Product Manager to support a suite of tools within their logistics platforms. The position focuses on driving roadmap execution, translating complex modeling and data science capabilities into user-friendly business solutions, and partnering closely with technical and business stakeholders to deliver impactful outcomes.
Key Responsibilities:
Own product development for network design tooling, including models that evaluate network constraints, facility footprint, aircraft fleet mix, and overall network optimization
Translate epics and high-level requirements into actionable features, workflows, and development priorities
Manage and execute the product roadmap; drive delivery through Agile frameworks in partnership with developers, scrum teams, and stakeholders
Serve as a liaison between business users and technical teamsensuring alignment, clear communication, and delivery of business value
Lead demos, presentations, and stakeholder updates; increasingly act as a technical development anchor
Document requirements and break down complex problems into logical workflows and scalable solutions
Support automation initiatives, system workflows, and integration efforts across 510 tools
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Skills and Requirements
4+ years of experience in product management, program delivery, or similar role supporting complex systems or enterprise initiatives
Strong experience working in Agile/Scrum environments (SAFe preferred)
Proven ability to break down complex concepts into structured, deliverable solutions
Strong communication and stakeholder management skills across technical and business audiences
Self-starter with high initiative, able to operate independently and drive outcomes Experience working with data-driven or analytical products (e.g., operations research, forecasting, optimization, or AI/ML concepts
Strong data and tooling experience (SQL, Python, Databricks, Alteryx, Power BI, or similar)
Familiarity with cloud platforms (GCP preferred) and modern data ecosystems
Ability to work closely with technical teams on data pipelines, APIs, and model outputs
Exposure to AI tools and prompt engineering to accelerate product development and documentation