Senior Solutions Consultant, Enterprise Data Solutions.

WGSN • Chicago, IL

4d • Remote

About The Position

WGSN is hiring a Senior Solutions Consultant to lead solution and commercial design for its largest and most complex new enterprise opportunities in North America. The role focuses on selling WGSN Intelligence API and data solutions, primarily to new enterprise customers, on deals of $500,000 and above. The consultant partners with Enterprise Account Directors, Product, Engineering, and global commercial leadership to qualify, scope, design, and close multi-year contracts. It is a hybrid technical and consultative role: the consultant does not write code, but must be credible with both senior business decision-makers and technical teams responsible for integration.

The role is responsible for ensuring enterprise deals expand WGSN’s client relationships, protect the underlying subscription business, and clearly credit WGSN for its intelligence. The consultant reports to the VP North America and helps raise commercial standards across the North America sales team. The position is remote within the United States, with Chicago preferred, and includes some travel to client sites.

The base salary is $120,000 to $140,000, with on-target earnings of $200,000 to $220,000 including commission. WGSN offers flexible medical, dental, and vision plans with employer contributions, tax-advantaged spending accounts, company-paid life and disability coverage from day one, and a company-matched 401(k). Candidates must have the right to work in the United States; visa sponsorship is not available.

Requirements

• At least 6 years of experience in enterprise pre-sales, solutions consulting, or solutions engineering, selling data, content, API, or SaaS products to large enterprises.
• A track record of leading solution design for multi-year deals of $500,000 or more, including new-logo deals.
• Confidence working with C-level and senior vice president buyers, and the presence to lead a deal team.
• Experience protecting intellectual property, attribution, and licensing in content, data, or API deals.
• Commercial judgment to distinguish genuine expansion from revenue shifting between budget lines and to walk away when deal terms are unsuitable.
• Clear writing skills, including the ability to produce executive-ready proposals and solution outlines suitable for engineering leads.
• Must have the right to work in the United States; visa sponsorship is unavailable.

Nice To Haves

• Knowledge of fashion, beauty, retail, consumer goods, or interiors, or experience with trend, research, or consumer data businesses.
• Experience with enterprise AI buying, including agents, RAG, knowledge platforms, or personalization engines.
• Experience with MEDDPICC or a similar qualification method.
• Spanish or Portuguese language skills.

Responsibilities

• Lead solution and commercial design on priority enterprise deals, turning pipeline into signed multi-year contracts.
• Run discovery with senior buyers in design, insight, buying, and merchandising, as well as Chief Digital, Innovation, and Data Officers.
• Identify where WGSN intelligence can create value in clients’ data and AI plans, and clearly explain the capabilities and limitations of the API.
• Structure deals that create new use cases, buyers, and budgets without cannibalizing existing subscriptions.
• Build intellectual property protection, brand attribution, and appropriate licensing into solutions and commercial terms from the outset.
• Design and run paid pilots that provide clients with a credible first step.
• Coach the sales team on qualification and deal design.
• Build sales collateral and battle cards.
• Share customer insight with Product.

Benefits

• Flexible medical plans with employer contributions
• Flexible dental plans with employer contributions
• Flexible vision plans with employer contributions
• Tax-advantaged spending accounts
• Company-paid life coverage from day one
• Company-paid disability coverage from day one
• Company-matched 401(k)
• Commission as part of on-target earnings

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed