Director, Data Science & Predictive Architecture, BIDI
Burson · New York, New York, United States
About this role
Who we are:
Burson, part of WPP, is the global communications leader built to create value for clients through reputation. With highly specialized teams, industry-leading technologies and breakthrough creative, we help brands and businesses redefine reputation as a competitive advantage so they can lead today and into the future. When you work at Burson, you are part of a global community of lifelong learners who thrive at the edge of innovation.
WPP (LSE/NYSE: WPP) is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com
For more information visit bursonglobal.com and follow us on LinkedIn and Instagram.
More about the role:
We are seeking a hands-on Director, Data Science & Predictive Architecture to lead complex data, dashboarding, and AI-driven initiatives. This role blends deep technical expertise with client-facing leadership, driving scalable analytics solutions that turn complex data into actionable insights and business impact.
What you'll do:
- Lead end-to-end delivery of advanced data science and engineering projects, managing scope, timelines, and budgets.
- Serve as a senior, client-facing leader—translating technical insights into clear business recommendations.
- Design and deploy predictive models, including time series, MMM, and machine learning solutions.
- Architect scalable data pipelines, AI-enabled infrastructure, and production-ready analytics solutions.
- Integrate predictive outputs into client-ready dashboards and tools.
- Ensure analytical rigor, data quality, and compliance across projects.
- Mentor and develop technical team members; lead code reviews and best practices.
- Champion responsible and effective use of AI across analytics workflows.
Experience that contributes to success:
- 7+ years in data science, analytics, or data engineering; 2+ years in a leadership role.
- Experience in PR, communications, advertising, or adjacent client-service environments.
- Expertise in predictive modeling, statistical analysis, and forecasting.
- Strong experience with cloud data platforms and scalable ETL/ELT pipelines.
- Proficiency in Python, SQL, and/or R.
- Dashboarding and data visualization experience (e.g., Tableau, Power BI, Looker).
- Proven ability to manage multiple projects and communicate with senior stakeholders.
#LI-DG1
Burson is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
Individual compensation varies based on job-related factors, including location, business needs, level of responsibility, experience, and qualifications. We offer a competitive benefits package; click here for more details: https://mybenefits.wpp.com/public/welcome.
You belong at Burson:
Our vision is for Burson to be the leading ‘academy company’ for creative communications professionals and emerging leaders. We provide a dynamic environment where ambitious colleagues come to elevate their skills, expand their networks, and ultimately, produce the best solutions for today’s leading brands. Our commitment to your growth is reflected in our robust benefits and people programs, which include professional development opportunities, mentorship programs with industry leaders, a vibrant and inclusive company culture fostering collaboration and innovation and packages designed to reward and retain top talent. We invest in our people because we believe their success is our success.
At Burson, we’re an agency of learn-it-alls. We recognize that the things we do best, creativity and communications, require a level of nuanced understanding. That’s why it’s imperative for us to hire extraordinarily talented people of all backgrounds and identities. Without that we can’t do the essential work of inspiring bold ideas, fostering constructive dialogue, cultivating meaningful experiences, and driving innovation and creativity for our partners. Your unique point of view—your talent—is what makes you a #BursonPerson, and it’s how we deliver exceptional results for our clients, together.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
When you click the "Submit Application" button below, this will send any information you add below to Burson. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.
About Burson
Burson is the global communications leader built to create value for clients through reputation. With highly specialized teams, industry-leading technologies and breakthrough creative, we help brands and businesses redefine reputation as a competitive advantage so they can lead today and into the future. When you work at Burson, you are part of a global community of lifelong learners who thrive at the edge of innovation. Burson is part of WPP (LSE/NYSE: WPP), the creative transformation company. For more information visit bursonglobal.com and follow us on LinkedIn and Instagram .
Jobb.ai is an independent skill benchmarking platform. Applications are submitted on the employer's official website.