Business Project Manager

MACHINE LEARNING TECHNOLOGIES LLC; San Diego (CA); On-site; USD 83,000 - 131,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Business Project Manager in San Diego, CA to lead end-to-end delivery of initiatives across business, product, engineering, and vendors. You will drive prioritization, manage cross-functional workflows, and ensure item-related capabilities are delivered on time to support key business outcomes.

You will provide clear updates to directors and executive leadership, coordinate with diverse teams, and oversee UAT, cutover planning, and change

Qualifications

• 7+ years of project or program management experience in technical, digital, retail, or supply-chain environments.
• Strong experience in item attributes, data flows, vendor onboarding, SKU setup, or related product/merchandising processes.
• Proven ability to lead cross-functional teams and drive prioritization with business stakeholders.
• Experience with Agile, Waterfall, or hybrid delivery methodologies.
• Strong communication, analytical thinking, and stakeholder management skills, including executive communication.

Responsibilities

• Lead major projects from initiation through delivery, including discovery, planning, execution, and rollout.
• Partner with Merchandising, Supply Chain, Finance, Digital, and other stakeholders to understand requirements, dependencies, and outcomes.
• Facilitate prioritization discussions across business and technical teams to align with enterprise strategies and resources.
• Translate business needs into clear project plans, timelines, scope, and success criteria.
• Coordinate with engineering, data, integrations, and vendor teams on design, data flows, and Item attributes.
• Identify risks and issues, drive mitigation plans, and escalate when needed.
• Prepare and deliver structured updates, dashboards, and executive summaries to stakeholders and leaders.
• Manage project ceremonies and communications across the organization.
• Ensure data readiness, Item attributes mapping, governance, and workflow changes before deployment.
• Track progress, monitor KPIs, and keep teams accountable to milestones and deliverables.
• Support UAT, cutover planning, training, and change management for smooth adoption.

Skills

Project management

Cross-functional leadership

Delivery methodologies

Stakeholder management

Communication

Analytical thinking

Vendor onboarding

Job description

Job Description

• Job ID: J52411
• Job Title: Business Project Manager
• Location: San Diego, CA
• Duration: 10 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Summary

The Project Manager is responsible for leading the end-to-end delivery of initiatives, ensuring alignment across business, product, engineering, and vendor teams.

This role drives prioritization manages cross-functional workflows, and ensures that Item-related capabilities are delivered accurately, on time, and in support of key business outcomes.

The PM is also accountable for providing clear, consistent updates to business and technology partners, including directors and executive leadership.

This is a contract role with the potential for extension based on performance and business needs.

Key Responsibilities

• Lead major projects from initiation through delivery, including discovery, planning, execution, and rollout.
• Partner closely with Merchandising, Supply Chain, Finance, Digital, and other business stakeholders to understand requirements, dependencies, and desired outcomes.
• Facilitate prioritization discussions across business and technical teams, ensuring alignment with enterprise strategies, capacity, and resource constraints.
• Translate business needs into clear project plans, timelines, scope, and measurable success criteria.
• Coordinate with engineering, data, integrations, and vendor teams to ensure system design, data flows, and Item attributes are defined and implemented correctly.
• Proactively identify risks, issues, and cross-team impacts drive mitigation plans and escalation when needed.
• Prepare and deliver structured project updates, dashboards, and executive summaries to business stakeholders, technology leaders, and cross-functional teams.
• Manage project ceremonies, status updates, steering discussions, and communication with all levels of the organization.
• Ensure data readiness, Item attributes mapping, governance, and workflow changes are defined and validated before deployment.
• Track progress across initiatives, monitor KPIs, and ensure teams stay accountable to milestones and deliverables.
• Support UAT, cutover planning, training, and change management to ensure smooth adoption across the organization.

Required Experience

• 7 years of Project or Program Management experience in technical, digital, retail, or supply-chain-related environments.
• Strong experience in Item attributes, data flows, vendor onboarding, SKU setup, or related product/merchandising processes.
• Demonstrated ability to lead cross-functional teams and drive prioritization with business stakeholders.
• Experience with Agile, Waterfall, or hybrid delivery methodologies.
• Strong communication, analytical thinking, and stakeholder management skills, including executive communication.

Preferred Qualifications

• Experience working with PIM, ERP, OMS, or merchandising systems.
• Vendor or implementation project experience.
• Ability to simplify complex technical concepts for business partners.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.