Procurement Analytics Lead - Supply Chain Optimization

Gohyred; United States; Remote; USD 95,000 - 140,000; Full time

Job summary

Genpact is seeking a Lead Analyst in Process Analytics for Supply Chain & Procurement to drive data-driven procurement strategies. You will analyze data, forecast needs, and collaborate across teams to optimize supplier relationships and cost efficiency.

The role emphasizes leadership, advanced analytics, and ERP/Ariba proficiency to deliver measurable business impact. Office-based in the United States with opportunities to scale AI-driven processes.

Qualifications

• Bachelor’s degrees in analytics, CS or statistics are required.
• Masters in data science is highly regarded for advanced analytics.
• Experience with procurement analytics and ERP systems is desirable.

Responsibilities

• Develop and implement procurement strategies to optimize sourcing and supplier relationships.
• Monitor and evaluate procurement processes to identify areas for improvement.
• Analyze data and market trends to forecast procurement needs and decisions.
• Collaborate with cross-functional teams to align procurement with business objectives.
• Manage vendor relationships and negotiate contracts for cost savings and quality.
• Oversee procurement team and provide guidance and training.

Skills

Actuarial Services

Agile Methodology

AML Investigations

Data Analytics

Negotiation

Procurement Analytics

KYC

Lean Six Sigma

People Leadership

Policy Governance and Risk Management

Education

Bachelors - Business Analytics

Bachelors - Computer Science

Bachelors - Statistics

Masters - Data Science

Tools

Ariba

ERP

eSourcing

Collaboration Tools

Job description

Genpact is seeking a Lead Analyst in Process Analytics for Supply Chain & Procurement to drive data-driven procurement strategies. You will analyze data, forecast needs, and collaborate across teams to optimize supplier relationships and cost efficiency.

The role emphasizes leadership, advanced analytics, and ERP/Ariba proficiency to deliver measurable business impact. Office-based in the United States with opportunities to scale AI-driven processes.