Vice President, Data Strategy & Analytics

About Emerald

Emerald’s talented and experienced teams grow our customers’ businesses 365 days a year with products that create connections, deliver content, and drive commerce. We produce over 140 annual events, create and deliver content through print and digital channels, and power commerce through our seamlessly integrated in-person and digital platforms and channels. For more information, please visit http://www.emeraldx.com.

We are seeking a Vice President of Data Strategy & Analytics to lead the transformation of our data capabilities and unlock new revenue, product innovation, and audience insights across our B2B events and media portfolio. This executive will shape and execute a companywide data strategy that enhances customer understanding, drives product and content optimization, and strengthens commercial performance.

As the senior data leader, you will oversee the development of scalable data platforms, modern analytics practices, and AI-driven solutions as appropriate that support audience growth, event performance, marketing effectiveness, and monetizable data products. You will serve as a key advisor to the executive team, ensuring our data assets become a strategic differentiator in the market.

Responsibilities

Strategic Leadership & Business Impact

• Define and drive a multi-year enterprise data strategy aligned with company growth objectives, including audience expansion, event performance optimization, and revenue diversification.
• Partner with senior business leaders across events, editorial, sales, marketing, and product to identify high-impact data opportunities and convert insights into measurable business outcomes.
• Design data-driven commercial strategies, including segmentation models, audience intelligence, yield optimization, sponsorship analytics, and pricing insights.
• Build and scale data products and services that enhance customer value, support personalization, and create new revenue streams for clients and partners.

Analytics, Insights & AI

• Oversee advanced analytics programs that fuel content strategy, customer behavior analysis, event forecasting, churn modeling, and marketing attribution.
• Set and evangelize a companywide framework for data storytelling and executive reporting, enabling precise, data-backed decision-making.

Data Architecture, Governance & Operations

• Provide executive oversight of data platforms, data engineering, architecture, and governance to ensure accuracy, scalability, and compliance across all business units.
• Build a unified view of customer, event, and engagement data through master data management, metadata standards, and data quality programs.
• Drive the evolution of our cloud data ecosystem, ensuring modern, efficient, and secure infrastructure for analytics and AI.

Leadership & Organizational Influence

• Lead, mentor, and scale a high-performing team spanning data strategy, analytics, engineering, and data governance.
• Foster a culture of data literacy and innovation across the company, enabling teams to independently leverage insights in day-to-day decision-making.
• Represent the data strategy function at the executive table, influencing long-term business planning, product roadmaps, and digital transformation initiatives.

Qualifications

• Bachelor’s degree required; advanced degree preferred in data science, business analytics, computer science, or related field.
• 10+ years of progressive leadership experience in data strategy, analytics, or digital transformation, ideally within media, events, information services, or B2B organizations.
• Demonstrated success translating data and insights into business strategy, revenue growth, and customer value creation.
• Deep understanding of AI and applied machine learning, with a track record of deploying AI solutions that improve business performance or customer experience.
• Strong knowledge of cloud data platforms (e.g., AWS, Azure, Databricks, GCP, Snowflake), modern BI tools (e.g., Power BI, Tableau), and analytics environments.
• Proven ability to lead data governance, MDM, and ente