Senior Director, Data and Analytics

Summary

Join BrainPOP as a Senior Director, Data and Analytics to lead the data organization, defining and executing the enterprise data strategy. You will build the next-generation data infrastructure and use data-driven insights to guide strategic decisions. Oversee the entire data lifecycle, from designing and implementing robust data pipelines and architecture to developing and delivering high-quality analytics products. This role demands deep technical expertise in data engineering, modeling, and visualization, strong leadership, and the ability to integrate AI enablement. You will partner with key stakeholders across the organization and may be based in NYC HQ or remotely in approved states. Travel to NYC HQ may be required.

Requirements

• Strong analytical and problem-solving skills with understanding of statistical and machine learning techniques
• Excellent leadership, communication, and interpersonal skills, able to convey complex technical concepts to non-technical stakeholders
• Strong business acumen and ability to translate data insights into actionable recommendations using visualization and storytelling
• Willingness to be hands-on when needed
• Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Mathematics, Business Administration, Information Systems, or a related quantitative field
• 10+ years progressive experience in data analytics and management, with a strong focus on strategic leadership and project delivery
• 5+ years in a leadership or managerial role, building high-performing data teams
• Proven ability to inform and execute an Enterprise analytics data management strategy
• Extensive knowledge of database schemas, data dictionaries, field mappings, data sensitivity, data security, data flows, and process analysis
• Fluent in SQL, Python, R, and BI tools like Looker, Tableau, or Power BI
• AI-forward leader with experience leveraging AI capabilities for scale and optimization
• Experience designing, building, shipping, and maintaining efficient, reliable data pipelines and models (Snowflake preferred)
• Experience with cloud architecture (AWS preferred) and data orchestration tools (e.g., Airflow)
• Experience with IT governance, compliance, and risk management

Responsibilities

• Develop and execute our enterprise data strategy, ensuring effective data capture, storage, analysis, and utilization
• Communicate vision, roadmap, and insights to the company, presenting complex data clearly to senior management
• Identify opportunities to leverage data for competitive advantage and enable an AI-driven strategy for commercial and internal teams
• Continuously evaluate and recommend new data capabilities and tools
• Lead the design, build, and maintenance of scalable, efficient, and reliable data pipelines and architecture
• Own the entire data flow from applications to data warehouse and dashboards
• Define new metrics, model datasets, and implement access and governance rules
• Ensure compliance with data privacy and security regulations
• Provide high-quality datasets and analytics reporting to drive company goals
• Partner with business functions to understand needs, prioritize solutions, and deliver data-driven insights that steer strategy
• Utilize statistical analysis, data mining, and machine learning for valuable insights
• Oversee data assets and products, fostering a data culture built on AI-forward data fluency and self-service analytics
• Lead, mentor, and upskill a high-performing data engineering and analytics team, fostering data-driven decision-making and continuous learning
• Build high-trust relationships with partners and lead change management
• Manage external vendors for system implementation and integration

Preferred Qualifications

• MBA is a plus
• Streaming data platforms (Kafka, Kinesis) are a plus
• Experience in SaaS a strong plus

Benefits

$170,000 — $215,000 USD