Sr. Manager, Data, Analytics & AI

Overview

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.

Key Responsibilities

• 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.
• Data Infrastructure & Engineering
• 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.
• Business Intelligence & Analytics
• 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.
• Artificial Intelligence Strategy
• 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.
• Data Governance
• Define company‑wide KPI definitions.
• Maintain enterprise data catalog and data dictionary.
• Establish governance policies and ownership across business functions.
• Improve consistency and trust in reporting.
• Leadership
• 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.

Qualifications

• 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.
• Strong executive communication skills.
• Experience operating in fast‑paced technology organizations.
• Preferred
• Experience within media, streaming, Saa S, or sports technology.
• Experience building enterprise AI programs.
• Experience with LLMs and Retrieval‑Augmented Generation (RAG).
• Experience with Azure Open AI, Open AI, 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.
• Success in the First 12 Months
• Establish a trusted enterprise data platform.
• Deliver executive KPI dashboards.
• Launch a company‑wide data governance framework.
• Identify and deliver multiple AI use cases with measurable business impact.
• Build a scalable roadmap for enterprise analytics and AI.
• Improve organizational data literacy and adoption.
• Expected Compensation

The anticipated range for a new hire into this position is $160,000 - $200,000.

In compliance with local law, the range above reflects the current hiring range for this position.

Ever Pass takes into consideration the qualifications, skills, and experience of the candidate, expected quality and quantity of work, and internal pay alignment when determining the salary level for potential new employees.

Ever Pass expects to hire for this position at the mid‑range salary, with the possibility of considering a higher salary only in rare cases when Ever Pass determines an external candidate possesses exceptional qualifications significantly exceeding the job requirements.

Benefits and Perks

• Competitive Compensation
• Medical, dental, vision, life, and long‑term and short‑term disability insurance
• Professional Development Programs
• Access to senior management and mentoring opportunities
• Employee Recognition Program
• Paid Parental Leave
• Mental Health and Recharge Days
• 401k Match
• Pre‑tax Transportation
• Employee Assistance Program
• In‑person and Virtual Social Events including Team Wins and Highlights from the Month, Cultural and Diversity Spotlights, and Happy Hours

Ever Pass is an equal opportunity workplace and an affirmative‑action employer.

We are always committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Discrimination is not welcome on the basis of any other status protected by the laws or regulations in the locations where we work.

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