Note: The job is a remote job and is open to candidates in USA. EverPass 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.
Responsibilities
- 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 EverPass'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
- 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
- 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
Skills
- 7+ years of experience in Data, Analytics, Data Engineering, or AI
- 3+ years leading technical teams
- Strong SQL expertise
- Experience with Snowflake, BigQuery, 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
- Experience within 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
Benefits
- 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
Company Overview