Sr Data Science & Analytics - Interim Director

Next Gen Software Solutions•Alameda, CA
•Onsite

About The Position

The Interim Director, Data Science & Analytics will lead and develop a high-performing team of Data Scientists and Product Analysts while the Director is away. The role owns the AI, Data Science, and Analytics roadmap, including customer-facing capabilities and AI-powered experiences, and oversees production machine learning models and analytical solutions. The position serves as Product Owner for the Lingo Data Platform and the Product Analytics ecosystem (Amplitude), setting strategy, requirements, priorities, roadmap execution, and scalable measurement frameworks. It champions data-driven decision making, defines and monitors performance metrics, advises cross-functional leaders, and builds organizational capability in data science, analytics, experimentation, and AI. The Interim Director also mentors team members and supports their professional development.

Requirements

  • 15+ years of experience.

Responsibilities

  • Lead and develop a high-performing team of Data Scientists and Product Analysts, fostering innovation, accountability, and continuous growth.
  • Serve as Product Owner for the Lingo Data Platform, defining strategy, requirements, priorities, and roadmap execution.
  • Own and drive the AI, Data Science, and Analytics roadmap, including customer-facing capabilities and AI-powered experiences.
  • Oversee the design, deployment, monitoring, and continuous improvement of production machine learning models and analytical solutions.
  • Serve as Product Owner for the Product Analytics ecosystem (Amplitude), ensuring scalable measurement frameworks and actionable insights.
  • Champion a data-driven culture through experimentation, analytics best practices, measurement frameworks, and evidence-based decision making.
  • Define, own, and monitor divisional and product performance metrics, ensuring alignment with business objectives and strategic goals.
  • Advise Product, Design, Engineering, Marketing, and Business leaders, translating complex data into actionable insights and driving product, customer, and growth strategies.
  • Identify and leverage emerging technologies, AI advancements, and industry best practices to accelerate innovation and business impact.
  • Mentor and coach team members, establish clear expectations, provide ongoing feedback, and support professional development and career growth.
  • Build organizational capability in data science, analytics, experimentation, and AI across the company.
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