Senior Manager, Business Intelligence

The Senior Manager, Business Intelligence is a key contributor and subject matter expert on the Business Intelligence team enabling Business Teams to make data-driven decisions. This role will lead a team of Business Intelligence Analysts who will work cross-functionally to understand evolving business needs and requirements. Will be responsible for designing and developing analytics models, reports and presentations to guide the strategic decision-making of internal stakeholders. You will also use advanced and predictive analytics techniques to guide business decisions and proactively identify opportunities and threats.

What you'll do:

• Lead BI teams on the design and execution of advanced analytics initiatives, mining and synthesizing data from multiple complex sources to support strategic decision-making across the business.
• Oversee insights, delivering clear, data-driven analysis on key metrics across the business. Build strong partnerships with cross-regional stakeholders to translate trends into actionable guidance for senior leadership.
• Proactively identify growth opportunities, operational risks, and emerging product trends, framing analytical findings in a way that influences roadmaps and strategic priorities.
• Develop and implement business intelligence solutions and insights that enhance operational efficiency, streamline workflows, and improve visibility for business stakeholders.
• Experience with data architecture and modeling, guiding teams in building scalable, well-structured data assets that support business initiatives.
• Partner closely with business leaders to gather inputs for initiatives, communicate risks and assumptions, and ensure analytical rigor and precision in all data deliverables.
• Lead and mentor cross-functional teams, collaborating with internal stakeholders to drive alignment on key metrics, support integrated planning, and guide the organization toward data-driven decision making.

• Bachelor's degree in a quantitative field (Economics, Finance, Statistics, Mathematics, Computer Science, etc.) or equivalent experience. Masters degree preferred.
• 15+ years of analytics experience supporting Go To Market, Product, Engineering, Corporate or Business Analytics teams
• Must have experience with Microsoft Excel (expert level) and ability to create compelling PPT presentations
• 8-10 years leading and managing BI teams.
• 8+ years' experience in one or more programming languages, such as SAS/SQL/R/Python
• Excellent critical thinking skills and proven track record with presenting quantitative information to stakeholders at all levels of an organization
• Experience with business intelligence (BI) tools (Tableau, Power BI, Qlik, Looker, etc.)
• Experience integrating data across disparate sources and platforms
• Demonstrated expertise in predictive and advanced analytics, including hands-on experience developing statistical models and applying data science techniques to derive actionable insights that support data-driven decision-making.
• Experience with Analytics engineering tools like dbt preferred.
• Experience with Data Warehouse and ETL frameworks (Snowflake, Boomi, SSIS, Informatica, etc.) a plus
• Able to successfully handle multiple competing priorities. Innovative, and outcomes obsessed
• Ability to present clearly and concisely to a diverse group of business and clinical stakeholders
• Ability to work in rapidly growing environment, with excellent attention to detail, multitasking and organizational skills
• Ability to build consensus across cross-functional and across geographic teams
• Must possess a 'can-do' attitude with the ability to work well with all levels of internal management and staff
• Ability to convey technical topics to non-technical audiences
• Excellent analytical and critical thinking skills
• Ability to handle high levels of pressure and apply critical decision making with constantly shifting priorities
• Ability to work independently and with a team on simultaneous tasks in a fast-paced environment with emphasis on accuracy and timeliness
• Ability to understand complicated problems and supply concise and relevant answers

The Trade Desk is a global technology company and the world's leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet - from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world's brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges - from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you're driven to solve meaningful challenges, we'd love to meet you. The Trade Desk is changing the way global brands and their agencies advertise to audiences around the world. How? With a media buying platform that helps brands deliver a more insightful and relevant ad experience for consumers -- and sets a new standard for global reach, accuracy, and transparency. We are proud of the culture we have built. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day. Founded by the pioneers of real-time bidding (RTB), The Trade Desk has become the fastest growing demand-side platform (DSP) in the industry, allowing advertisers to reach their audiences - wherever they are on the open internet - in meaningful and relevant ways. Our platform handles tens of million queries per second (and growing!) from all over the world - that's more page views and queries than Facebook, Google Search, and Google's entire network of websites combined - all serviced in single-digit-ms response times. Some questions for you: Are you interested in driving a culture of data-driven decision making at the leading advertiser-focused company supporting the open internet? Are you up for applying your strong quantitative analysis and predictive analytics skills to tackle complex and impactful problems? If this sounds of interest to you, and you're talented, driven, creative, and hungry to bring something entirely new and wildly ambitious into the world (and have some fun doing it), then we want to talk.