Senior Director, Data Science & Analytics

See yourself at Twilio

Join the team as Twilio’s next Senior Director, Sales Operations Analytics.

Who we are 

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. 

About the job

We are seeking a Sr. Director of Data Science & Analytics within our Sales Operations organization. You will lead our data-driven approach to running, planning, optimizing and transforming our go-to-market. This leader will oversee a team of data scientists, analysts, and data engineers delivering critical insights that drive business performance, strategic decision-making, and operational excellence. 

This is a highly visible leadership role with direct impact on the company’s GTM strategy and execution. You have a demonstrated track record of excellence in data science and analytics innovation, large-scale complex data analysis, process-driven data management approaches, program & project management, communication, team leadership, mentorship and cross-functional teamwork. This position will report to the VP of Sales Operations and work closely with peer leaders across Sales Operations and other business functions.

Responsibilities

In this role, you’ll:

• Mentor, lead & coach a team of managers, data scientists, analysts, and engineers delivering mission critical data-driven insights and decision-making
• Drive development and automation to provide a comprehensive view of business health; including pipeline, forecast, sales productivity and other GTM metrics and insights
• Own the accuracy and integrity of all reporting and insights 
• Partner closely with sales and cross-functional stakeholders to understand their pain points and create solutions to improve day to day operations.
• Align with sales leaders on performance metrics & KPIs
• Drive innovation in dashboarding, visualization and self-service analytics and insights capabilities for sales and GTM teams.
• Develop predictive models and advanced analytics to improve funnel performance, sales forecasting and revenue growth strategies
• Support ad hoc and strategic analytics needs, including market assessments, customer buying behavior insights, propensity to buy analysis, whitespace identification, etc.
• Partner with GTM leadership to shape data-driven strategies that improve sales productivity, customer engagement and business outcomes
• Serve as a thought leader in the company’s data science and analytics efforts working cross-functionally to share best practices and drive innovation
• Implement and enforce best practices for data integrity, accessibility and security
• Drive efficiencies in data infrastructure and processes, ensuring scalability to support current and long-term business needs.

Qualifications 

Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• 15+ years of professional experience in data science, analytics or business intelligence with a strong background in GTM or product analytics
• Proven leadership experience managing, coaching and developing teams of data scientists, analysts and engineers in the tech industry
• Deep experience as a technical people manager, managing managers, organizational design principles and excellent career development skills
• Exceptional communication skills with the ability to translate complex data insights into actionable business strategies
• Expertise in statistical models, predictive analytics and data visualization
• Strong proficiency in data analysis languages and tools
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