Sr. Manager, Data, Analytics & AI

Ever Pass Media is seeking an experienced Sr. Manager, Data, Analytics & AI to lead the company's enterprise data strategy while building the next generation of AI powered capabilities that drive growth, operational excellence, and product innovation.

This leader will own the end-to-end data ecosystem, from infrastructure and business intelligence to executive reporting, governance, advanced analytics, and enterprise AI strategy. This individual will partner closely with Product, Engineering, Sales, Marketing, Finance, Customer Success, and Operations to ensure data is trusted, accessible, and actionable while identifying opportunities to leverage machine learning, predictive analytics, and Generative AI across the organization.

This is a highly visible leadership role requiring equal strengths in technology, business strategy, and organizational influence.

• Enterprise Data Strategy
• Own the enterprise data strategy and multi-year roadmap.
• Define the company's data architecture and technology strategy.
• Lead evolution of the modern data platform, including data warehouse, integrations, pipelines, and governance.
• Establish data quality standards and a trusted single source of truth across the business.
• Prioritize investments based on strategic business impact.
• Own the end-to-end data platform.
• Oversee ETL/ELT pipelines and cloud data infrastructure.
• Ensure scalability, security, reliability, and governance.
• Partner with Engineering to support product data needs.
• Evaluate and implement best-in-class data technologies.

• Own enterprise reporting strategy.
• Develop executive dashboards and KPI reporting.
• Enable self-service analytics across the organization.
• Lead deep analytical projects supporting Product, Revenue, Marketing, Finance, Customer Success, and Operations.
• Build executive reporting for leadership, Board presentations, and strategic planning.

• Develop Ever Pass's enterprise AI roadmap.
• Identify high-value AI opportunities across every business function.
• Partner with Product and Engineering to embed AI capabilities into customer-facing products.
• Lead implementation of predictive analytics and machine learning initiatives.
• Evaluate and implement Generative AI solutions that improve internal productivity and decision-making.
• Drive AI adoption across the business through education, governance, and change management.
• Build responsible AI standards covering privacy, security, model governance, and monitoring.
• Evaluate emerging AI technologies and make build-versus-buy recommendations.

• Maintain enterprise data catalog and data dictionary.
• Establish governance policies and ownership across business functions.
• Improve consistency and trust in reporting.

• Build and scale a high-performing Data & AI organization.
• Mentor engineers, analysts, and data scientists as the team grows.
• Serve as the executive thought partner on analytics, AI, and business intelligence.
• Foster a culture of experimentation, innovation, and data-driven decision making.

• 7+ years of experience in Data, Analytics, Data Engineering, or AI.
• 3+ years leading technical teams.
• Strong SQL expertise.
• Experience with Snowflake, Big Query, Redshift, or similar platforms.
• Experience building enterprise BI environments.
• Experience with Tableau, Power BI, Looker, or equivalent.
• Experience with Salesforce data architecture.
• Experience implementing AI, machine learning, or Generative AI solutions in production.
• Familiarity with Python and modern AI frameworks.
• Experience operating in fast-paced technology organizations.

• Experience with in media, streaming, SaaS, or sports technology.
• Experience building enterprise AI programs.
• Experience with LLMs and Retrieval-Augmented Generation (RAG).
• Experience with Azure OpenAI, OpenAI, Anthropic, AWS Bedrock, or Google Vertex AI.
• Experience with dbt, Fivetran, Airbyte, or modern ELT tooling.
• Experience building Data and AI organizations from early growth through scale.

• Establish a trusted enterprise data platform.
• Launch a company-wide data governance framework.
• Identify and deliver multiple…