Sr. Director, Analytics, Yahoo & News

Sr. Director, Analytics, Yahoo Home & News (Finance)

Yahoo serves as a trusted guide for hundreds of millions of people globally, helping them achieve their goals online through our portfolio of iconic products. For advertisers, Yahoo Advertising offers omnichannel solutions and powerful data to engage with our brands and deliver results.

Yahoo Home & News is one of the most-visited destinations on the internet, reaching hundreds of millions of people every day. We're investing meaningfully in what comes next: better products, smarter personalization, deeper creator relationships, and a data organization built to help drive all of it.

We have the scale, the data, and the ambition, and we're looking for a leader who can bring all three together into something transformative.

Reporting to the VP, Operations & Strategy for Yahoo Home & News, the Sr. Director of Analytics will lead the evolution of our analytics function into a proactive insight engine that shapes product strategy, drives user growth, and informs every meaningful business decision we make.

This is a rare opportunity to define what world-class analytics looks like for one of the internet's most storied brands.

A transformation in how we operate Own the strategic direction for how Yahoo Home & News uses data, establishing a clear point of view and roadmap that raises the ceiling on what analytics can do for the business. You'll help us find the short‑term signals that predict long‑term growth, building the models, frameworks, and habits that allow the business to move with both speed and conviction.

That includes expanding our data science and product analytics capabilities, and partnering with Engineering to strengthen data infrastructure and ensure the team has the foundation to move fast and with confidence.

A deeper partnership with the business Embed your team in squad planning cycles, quarterly reviews, and executive conversations. Represent the analytics function as a thought partner to leaders across Product, Editorial, Engineering, Revenue, and Business Development.

Responsible AI transformation Identify where AI can fundamentally change how the analytics team plans, creates, and delivers work, and build toward it. This means embedding AI into how the team operates: automating routine reporting, using AI‑assisted trend surfacing, and exploring natural language querying tools.

A culture of insight and craft Raise the bar on how insights are packaged and delivered. Coach the team on data storytelling, visualization, and stakeholder management so that great analysis doesn't get lost in translation.

A foundation of trust Accurate, reliable data is non‑negotiable. You'll establish the QA processes and infrastructure improvements that make "I trust this number" the default assumption across the organization.

• 10+ years in analytics, data science, with at least 4 years in a senior leadership role
• Deep product analytics background: you've worked on personalization, cohort analysis, retention modeling, and experimentation at a consumer tech or streaming company
• You've operated at scale and know how to move a large, complex organization. You've also built something from the ground up, and can point to what specifically changed because of it
• Technical credibility across BI and data science; the ability to lead across all Analytics disciplines with authority
• Deep curiosity and a bias toward proactive insight generation: you pull threads, you notice what doesn't add up, and you follow it
• SQL fluency; familiarity with Python, R, or ML workflows is a meaningful advantage
• The communication range to move fluidly between a junior analyst, a cross‑functional working group, and an executive audience
• Strong convictions, paired with genuine openness
• Experience in consumer tech, or a complex, multi‑side business is a must; as is an operator's mindset

By the end of year one, the analytics team is no longer defined by the questions it answers, but by the opportunities it uncovers. Stakeholders seek out analysts as thought partners. Data science is embedded in product decisions.…