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Lead Revenue Strategy & Insights Partner; Hybrid

Job in Cincinnati, Hamilton County, Ohio, 45208, USA
Listing for: The E.W. Scripps Company
Full Time position
Listed on 2026-01-10
Job specializations:
  • Business
    Business Analyst, Business Management, Business Systems/ Tech Analyst, Corporate Strategy
Job Description & How to Apply Below
Position: Lead Revenue Strategy & Insights Partner (Hybrid)

Lead Revenue Strategy & Insights Partner (Hybrid)

Are you ready to shape the future of revenue growth at one of America’s leading media companies? We’re seeking a strategic visionary to serve as a key thought partner to senior sales leadership, designing and orchestrating revenue growth strategies that drive immediate impact and long‑term success. This hybrid role offers the opportunity to define growth pathways, align cross‑functional teams, and equip our sales organization with data‑driven insights that accelerate revenue and expand market opportunities.

What

You’ll Do
  • Partner with the VP, Revenue Strategy & Operations, and the Head of Sales to architect the annual revenue growth strategy with monthly and quarterly reviews; deliver executive‑ready updates on outcomes, risk, and pivots; define and govern KPIs for revenue growth, pipeline health, and cross‑platform monetization effectiveness.
  • Define Ideal Customer Profiles (ICPs) and target segments; lead Account‑Based Marketing (ABM) programs and cross‑channel plays to expand market penetration and win rates.
  • Lead cross‑functional transformation programs sponsored by the C‑suite, ensuring strategies translate into executable action plans and embedding change into organizational culture.
  • Oversee the realization of high‑impact revenue initiatives; convene senior functional leaders to align execution, ensure strategic clarity, and secure organizational commitment.
  • Advise on market positioning, sales strategies, and product offerings informed by market intelligence, competitive analysis, and stakeholder insights.
  • Establish and govern unified enterprise data ecosystems—leveraging AI‑driven analytics, predictive modeling, and automation—in partnership with Data Solutions and Sales Research; set the vision for scalable analytics and executive insight platforms that empower the sales organization.
  • Develop industry and intelligence on trends, competitors, and client needs; use insights to continuously refine growth pathways and translate future advertising trends, including AI‑powered personalization and ad targeting capabilities, into monetizable opportunities.
  • Identify opportunities to optimize sales processes and recommend best practices and tools to boost efficiency and effectiveness.
  • Build and maintain category thought leadership to shape enterprise advertising strategies and strengthen market authority.
What You’ll Need
  • Bachelor’s degree in a related field; MBA or relevant advanced degree strongly preferred.
  • Generally, 7+ years of experience in strategy, consulting, revenue growth, business operations, or advertising/media strategy (education and experience may be considered).
  • Experience at a top‑tier consultancy or media/tech company strongly preferred.
What You’ll Bring
  • Experience working with commercial or go‑to‑market teams (sales, marketing, product, finance) and comfort supporting executive stakeholders.
  • Demonstrated experience managing or contributing to cross‑functional initiatives or transformation programs.
  • Strategic thinker who connects long‑term business goals to near‑term actions.
  • Strong analytical skills and the ability to derive meaningful insights from complex or incomplete data.
  • Ability to break down ambiguous problems and guide teams toward structured solutions.
  • Highly organized, with strong prioritization skills and attention to detail.
  • Collaborative mindset and the ability to influence without authority.
  • Comfort with AI‑enabled insights and automation tools (training provided).
  • Comfort overseeing analytics work streams and leveraging insights platforms; can partner with analytics teams (not build datasets end‑to‑end).
  • High degree of professionalism, confidentiality, and adaptability.
  • Strong problem‑solving orientation with the ability to structure ambiguous challenges, develop hypotheses, analyze data, and recommend actionable solutions.
  • Excellent communication, collaboration, and relationship‑management skills across a matrixed organization.
  • Ability to thrive in a fast‑paced environment with shifting priorities.
Our Commitment to a Culture That Creates Connection

At Scripps, we are committed to a culture that reflects the audiences and communities we…

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