Vp, Data And Ai

Summary

Join Headspace as the VP, Data and AI, leading our data and AI organization. This crucial role involves driving data strategy, overseeing data system development and implementation, and ensuring successful Generative AI and Machine Learning product deployment. You will lead a team focused on high-performance, scalable products and platforms, fostering a data-driven culture and industry best practices. The ideal candidate will attract and recruit top talent, possess strong technical skills, and build compelling, customer-oriented solutions iteratively. This position offers a chance to impact millions of users and contribute to a mission-driven organization. A competitive salary and comprehensive benefits package are included.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
• 15+ years of experience in data engineering, data science, and AI, with at least 5 years in a leadership role
• Proven track record of successfully leading data engineering and AI teams
• Familiarity with AI research and development tools and platforms
• Strong analytical and problem-solving skills
• Extensive experience with machine learning frameworks, generative AI technologies, and big data platforms
• Strong understanding of data architecture, data governance, and data security best practices
• Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud)
• Knowledge of programming languages such as Python, R, Java, and SQL
• Experience in big data technologies (Redshift, S3, Databricks, Datalakes, Spark)
• Working experience in one of these tools Looker/Tableau/Amplitude/CoreMetrics
• Excellent leadership, communication, and interpersonal skills
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively

Responsibilities

• Oversee the design, development, and maintenance of scalable data pipelines and infrastructure
• Ensure data quality, integrity, and security across all data systems
• Establish and enforce best practices for data governance, compliance, quality, and security across the organization
• Drive the research, development, and deployment of AI and machine learning models to solve complex business problems
• Ensure the successful integration of AI solutions into existing business processes and systems
• Stay abreast of the latest advancements in AI and machine learning, and evaluate their potential impact on the organization
• Develop and implement the strategic vision for data analytics across the organization, ensuring alignment with business goals
• Serve as the organization’s subject matter expert on advanced statistical analysis, experimental design, and financial impact analysis
• Guide the development and implementation of robust analytical methodologies and processes across the organization

Preferred Qualifications

PhD is a plus

Benefits

• Base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, unlimited, free mental health coaching, generous parental leave
• Paid performance incentives are also included for those in eligible roles