Sourcing Consultant 3 - Contingent

Innova Solutions•Charlotte, NC

2d•Hybrid

About The Position

A client of Innova Solutions is hiring a Lead Sourcing Consultant for the Corporate Services Strategic Sourcing Team within the Chief Administrative Office (CAO). The role primarily supports Marketing and Public Affairs technology sourcing initiatives and serves as the enterprise subject matter expert for the MarTech and AdTech ecosystem, including AI-enabled marketing platforms, customer data infrastructure, and digital media supply chains. The position is based in Charlotte, NC, with a hybrid schedule of three days onsite and two days working from home. The consultant leads complex, high-risk, and strategic sourcing engagements across Marketing and Public Affairs suppliers and technology-enabled services. This includes developing category strategies and assessing the MarTech portfolio to find overlapping capabilities, underused licenses, and consolidation opportunities. The role also reviews expiring agreements and identifies opportunities for supplier consolidation, service improvements, cost reduction, and value creation, while supporting timely renewals or competitive sourcing events. The consultant leads supplier negotiations and commercial management, including negotiation strategy, vendor communications, proposal evaluations, and award recommendations. Contract work includes negotiating SaaS and consumption-based pricing structures, AI-related provisions, and commercial, operational, legal, governance, and risk terms, as well as drafting, reviewing, and managing contract language to address changing business, technology, regulatory, and market requirements. A JD legal certification is required. The position is a contract role of 12+ months and is open only to candidates who can be engaged on a W-2 basis; 1099 and Corp-to-Corp arrangements are not considered.

Requirements

JD legal certification required.
Experience leading end-to-end sourcing lifecycle activities for complex, high-risk, and strategic Marketing and Public Affairs supplier engagements.
Experience developing and executing category strategies across the MarTech stack.
Experience leading MarTech stack assessments and rationalization initiatives.
Experience reviewing expiring agreements and supporting renewals or competitive sourcing events.
Experience leading supplier negotiations, proposal evaluations, and award recommendations.
Experience negotiating SaaS and consumption-based commercial models, including usage-based pricing structures and related commercial terms.
Experience negotiating AI-specific contract provisions and enterprise commercial, operational, legal, governance, and risk-related terms.
Must be able to be engaged on a W-2 basis; 1099 contractors and Corp-to-Corp arrangements are not considered.

Responsibilities

Lead end-to-end sourcing lifecycle activities for complex, high-risk, and strategic Marketing and Public Affairs supplier engagements, including MarTech, AdTech, digital media, creative services, communications, research, events, sponsorships, and related technology-enabled services.
Develop and execute category strategies across the MarTech stack, including marketing clouds, customer data platforms, customer engagement and journey orchestration, marketing analytics and attribution, content and digital asset management, personalization, and generative AI marketing tools.
Lead MarTech stack assessments and rationalization, identifying overlapping capabilities, underutilized licenses, and portfolio consolidation opportunities.
Review expiring Marketing and Public Affairs agreements and identify supplier consolidation, service improvement, cost reduction, and value-creation opportunities; support timely renewals or competitive sourcing events.
Lead supplier negotiations, including development of category and negotiation strategies, vendor communications, proposal evaluations, and award recommendations.
Negotiate SaaS and consumption-based commercial models, including usage-based pricing, true-up mechanics, renewal caps, service credits, and professional services terms.
Negotiate AI-specific contract provisions, including usage rights, restrictions on using company and customer data for model training, transparency and explainability obligations, and responsible AI commitments.
Negotiate commercial, operational, legal, governance, and risk-related terms, including data processing agreements, data residency, subprocessor management, security requirements, and exit and data portability provisions.
Draft, review, and manage contract language addressing evolving business, technology, regulatory, and market requirements.