Strategic Inventory Lead — Philadelphia (Equity Stake)

Energy Innovation Corp; Philadelphia (Philadelphia County); On-site; USD 73,000 - 104,000; Full time

Benefits offered by this job

Mentorship

Benefits

Flexible schedule

Job summary

Energy Innovation Corp in Philadelphia seeks an Inventory Specialist focused on APICS CPIM and Spend Analysis as tools to drive results. You will build models, KPIs, and executive-ready summaries, with a salary range from $73,000 to $104,000 and a path for growth with mentorship and benefits.

You will develop performance dashboards, optimize the supply chain balancing cost, speed, and reliability, and own forecasting models.

Qualifications

• Strong analytical and problem-solving capabilities.
• The judgment to distinguish a fire drill from an actual fire.
• Comfortable presenting ideas to stakeholders at every level.
• Eagerness to take ownership and run with new responsibilities.
• The kind of reliability that earns you the hard assignments.

Responsibilities

• Build the model that tells you when to stop a losing business bet
• Deliver weekly performance summaries that keep leadership informed
• Build the 5-quarter view that survives contact with reality
• Optimize the supply chain to balance cost, speed, and reliability
• Own the Problem Solving model that everyone quietly trusts to forecast next quarter
• Develop and track KPIs that measure progress against Sears objectives
• Run weekly numbers reviews that end with decisions, not more meetings
• Frame the tradeoff so a busy executive can choose in sixty seconds

Skills

Analytical thinking

Problem solving

Stakeholder presentation

Ownership mindset

Reliability

Job description

Energy Innovation Corp in Philadelphia seeks an Inventory Specialist focused on APICS CPIM and Spend Analysis as tools to drive results. You will build models, KPIs, and executive-ready summaries, with a salary range from $73,000 to $104,000 and a path for growth with mentorship and benefits.

You will develop performance dashboards, optimize the supply chain balancing cost, speed, and reliability, and own forecasting models.