Remote Data Strategy Jobs in Illinois (NOW HIRING)

Role Overview

The Director, Analytics, Data and Audience Services leads the development and positioning of data-driven marketing solutions for Quad’s Direct Marketing business. This role is primarily focused on pre-sale strategy, client engagement, and solution design, ensuring that audience data and analytics are effectively leveraged to shape winning proposals and high-impact marketing programs.

Operating at the intersection of sales, strategy, and analytics, this individual partners with account leadership and business development teams to define how data is used to drive client outcomes. The role is responsible for translating client challenges into clear, differentiated audience strategies and analytic approaches that align with Quad’s integrated capabilities.

This is a front-end, consultative leadership role with emphasis on influencing deal strategy, shaping scope of work, and establishing the foundation for successful execution.

Location: Chicago or Sussex offices, 4 days a week; Remote if outside of the Quad office locations

Please note: This position is not eligible for visa sponsorship, including F-1 visa holders requiring CPT, OPT, or future H-1B sponsorship. Candidates must be authorized to work in the United States without current or future immigration sponsorship.

Key Responsibilities

 Pre-Sale Strategy & Solution Leadership

• Lead the development of audience and data strategies for new business and organic growth opportunities.
• Partner with sales and account leadership to shape deal strategy, scope, and positioning.
• Define how data, segmentation, and analytics will be applied to achieve client objectives.
• Translate client business challenges into clear, actionable marketing and data solutions.
• Play a key role in RFP responses, proposal development, and pitch presentations.

Client Engagement & Thought Leadership

• Act as a senior subject matter expert in audience, data, and direct marketing analytics in client conversations.
• Lead discovery sessions to uncover client needs, data availability, and opportunity areas.
• Present strategic recommendations that connect data capabilities to measurable business outcomes.
• Build credibility with senior client stakeholders through clear, insight-driven thinking.

Audience Strategy & Data Application

• Identify Opportunities and Define frameworks to meet clients defined outcomes:
  • What is the best Data and Audience Approach (1st Party or Acquisition audiences) 
  • Segmentation
  • Test-and-learn strategies
  • Measurement approaches
  • Multi-Channel campaigns
• Ensure solutions reflect best practices in direct mail and data-driven marketing.

 Analytics Framing & Interpretation (Pre-SOW)

• Establish the analytic approach and success metrics for proposed programs.
• Define how analytics will be used to:
  • Define testing criteria
  • Measure performance
  • Inform optimization
  • Demonstrate ROAS
• Translate analytic concepts into clear, client-friendly narratives during the sales process.
• Ensure proposed analytic solutions are aligned with business goals and operational feasibility.

Cross-Functional Solution Alignment

• Collaborate with internal teams (analytics, data, media, production) to ensure proposed solutions are:
  • Feasible
  • Scalable
  • Differentiated
• Align data strategy with Quad’s broader media, creative, and production capabilities.
• Ensure clarity between what is proposed and what can be delivered.

Go-to-Market & Capability Development

• Help shape how Quad positions audience data and analytics within Direct Marketing offerings.
• Contribute to development of Sales enablement materials, case studies, and solution frameworks
• Stay current on trends in Direct marketing and CRM, Audience data and identity, and Privacy and regulatory considerations

Experience

• 12–15+ years in direct marketing, CRM, or data-driven marketing environments
• Significant experience in client-facing, pre-sale, or solution strategy roles
• Background in agency, marketing services, or data-driven organizations (e.g., Epsilon, Merkle, Acxiom, Wiland)

Employees can be expected to be paid an annualized salary range of $122,040-$160,000, based on variations in knowledge, skills, experience and market conditions. 

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