Associate Director, Content Business Analysis

<h3><strong>About <a href="https://jobicy.com/company/alphasense" target="_blank" rel="noopener">AlphaSense</a>: </strong></h3> <p>AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit <a href="http://www.alpha-sense.com" rel="nofollow ugc noopener" target="_blank">www.alpha-sense.com</a>. Come join us.</p> <p>AlphaSense Inc seeks Assoc. Director, Content Business Analysis in New York, NY.</p> <p>Duties:</p> <ul> <li>Analytics (15%): Execute complex strategic analytics and business intelligence projects that provide growth opportunities and data driven insights to support content leadership decisions. Collect, analyze, and interpret large datasets related to product usage, customer behavior, revenue performance, and market trends to identify opportunities for growth, operational efficiency, and product innovation.</li> <li>Product Performance (15%): Provide strategic guidance on performance measurement frameworks and establish product performance metrics, user engagement, adoption, retention, and revenue performance, customer engagement, and key performance indicators (KPIs) including annual R&amp;D spend, gross margin by product line, customer acquisition cost payback, and content cost ratios.</li> <li>Robust Data Infrastructure (15%): Design and implement scalable data infrastructure and analytics processes to improve data accessibility, reporting accuracy, and decision-making capabilities across business functions. Establish data governance standards and ensure data quality across internal systems and third-party data sources.</li> <li>Data Analysis (15%): Analyze platform usage patterns and customer segmentation data to recommend strategies for optimizing feature access and usage-based provisioning models. Work with Product, RevOps, and Finance teams to improve cost efficiency by aligning feature availability and infrastructure utilization with customer usage patterns and revenue contribution.</li> <li>Royalty Reporting (10%): Collaborate with Finance and Business intelligence teams to build a robust royalty reporting framework, ensuring consistent, compliant and true reporting and payouts to vendor partners.</li> <li>Democratize Data