Director – Data Lead

Director – Data Lead

Requirements

• 10+ years of experience in data leadership roles, ideally within Media, SaaS, fintech, or data-driven businesses.
• Strong expertise in data infrastructure, engineering, and analytics platforms.
• Experience building and scaling data teams in fast-growing organizations.
• Proven track record of turning data into a product (monetization through APIs, analytics platforms, or AI/ML-driven insights).
• Deep understanding of data governance, security, and compliance frameworks (GDPR, CCPA, etc.).
• Excellent leadership, communication, and stakeholder management skills.
• Ability to align data strategy with business objectives and make trade-offs when necessary.

Responsibilities

• Develop and execute a company-wide data strategy aligned with business objectives.
• Lead the monetization of data, developing and scaling data-as-a-product initiatives (e.g., APIs, analytics platforms, AI-driven insights).
• Define and track data-driven KPIs that support growth, retention, and operational efficiencies.
• Partner with executive leadership to embed data-driven decision-making across the organization.
• Own and scale our data architecture, pipelines, and cloud infrastructure (AWS, GCP, or Azure).
• Oversee the development and maintenance of data lakes, warehouses (Snowflake, BigQuery, Redshift), and ETL processes.
• Ensure scalable, reliable, and secure data infrastructure to support both internal and external data products.
• Drive innovation in data integration, real-time analytics, and AI/ML applications.
• Work with product and engineering teams to develop, package, and sell data products.
• Define pricing models, customer access, and API integrations for data-as-a-service offerings.
• Ensure customer-facing data products are high-quality, reliable, and provide clear value.
• Manage data partnerships, licensing, and external collaborations.
• Establish strong data governance frameworks to ensure data accuracy, security, and compliance (GDPR, CCPA, HIPAA if applicable).
• Implement data privacy policies and best practices for data usage and access.
• Ensure ethical and responsible AI & data use, especially for external data monetization.
• Build, manage, and mentor a high-performing data team, including data engineers, analysts, and data scientists.
• Foster a data-driven culture across the organization, enabling self-service analytics where possible.
• Define and scale the Hub-and-Spoke data team structure, ensuring both governance and business alignment.

Preferred Qualifications

• Experience with subscription-based business models.
• Knowledge of AI/ML applications and automation in data analytics.
• Exposure to pricing strategies for data monetization.
• Experience working with external data partnerships and licensing models.