[Hiring] Senior Manager, Data Analytics @Cast & Crew

Role Description

Cast & Crew is seeking a Senior Manager of Data Analytics to lead our enterprise analytics organization. This role is responsible for delivering trusted business intelligence, operational reporting, executive dashboards, self-service analytics, and advanced analytical solutions that enable data-driven decision making across the company.

The Senior Manager will lead teams of Analytics Engineers, Data Analysts, and BI Developers while partnering closely with Product Management, Finance, Operations, Engineering, Customer Success, and Executive Leadership. Success in this role requires balancing technical excellence with business partnership—ensuring data is accurate, accessible, and actionable for stakeholders throughout the organization.

Responsibilities

• Lead and develop teams of Analytics Engineers, Data Analysts, and Business Intelligence developers
• Define and execute the enterprise analytics strategy
• Partner with business leaders to identify reporting and analytics priorities
• Deliver executive dashboards, operational scorecards, and self-service analytics solutions
• Establish enterprise reporting standards, KPIs, and business metrics
• Ensure data quality, consistency, and governance across analytical platforms
• Build scalable semantic models and curated datasets for business users
• Drive adoption of self-service BI capabilities
• Partner with Data Engineering to define enterprise data models and trusted data sources
• Translate complex business questions into measurable analytical solutions
• Lead prioritization, planning, and execution of analytics initiatives
• Mentor analytical talent and foster a culture of curiosity, continuous improvement, and business partnership

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, or related field
• 10+ years of experience in analytics, business intelligence, or data platforms
• 5+ years of leadership experience managing analytics teams
• Strong understanding of dimensional modeling and data warehousing concepts
• Advanced SQL expertise
• Experience with enterprise BI platforms such as ThoughtSpot, Power BI, Tableau, Looker, or similar
• Experience building executive dashboards and operational reporting
• Strong understanding of KPIs, metrics, and business performance measurement
• Experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift
• Experience partnering with Engineering, Product, Finance, and Operations
• Excellent communication and executive presentation skills
• Strong project planning, prioritization, and stakeholder management experience

Nice to Have

• Experience with Python or R for advanced analytics
• Experience with statistical analysis and forecasting
• Experience supporting AI and machine learning initiatives
• Experience with semantic modeling platforms
• Experience with experimentation and A/B testing
• Experience using AI-assisted analytics tools
• Experience within media, payroll, financial systems, or enterprise SaaS

What You Will Build

• Executive dashboards and enterprise KPI scorecards
• Trusted semantic data models for self-service analytics
• Business intelligence solutions supporting strategic decision making
• Operational reporting across enterprise business functions
• Analytics governance and enterprise metric standards
• Data products that empower business teams to make faster, more informed decisions

What Success Looks Like

• Trusted analytics used consistently across the organization
• Executive dashboards providing real-time visibility into business performance
• Increased adoption of self-service analytics
• Clearly defined enterprise KPIs with consistent business definitions
• Strong partnerships between Analytics, Product, Engineering, and Business teams
• A high-performing analytics organization that delivers measurable business value

Special Work Conditions

Sedentary – Involves sitting most of the time but may involve walking or standing for brief periods of time. Some positions may entail exerting up to 15 lbs. of force occasionally and/or a negligible amount of force to lift, carry, push, or pull.

Organizational Scope

The Senior Manager of Data Analytics is responsible for the organization's analytical capabilities, including:

• Business Intelligence
• Executive Reporting
• Operational Reporting
• Self-Service Analytics
• Analytics Engineering
• KPI Development
• Data Visualization
• Business Metrics & Governance
• Analytical Data Products
• Advanced Analytics

Primary Partners

• Data Engineering
• Software Engineering
• Product Management
• Finance
• Operations
• Customer Success
• Executive Leadership

What We Offer

• Comprehensive package of employee benefits including: Medical, Dental, Vision, PTO, health and wellness programs, employee discounts, and more!

Compensation

The compensation range for this position is: $180,000.00 - $200,000.00 per year.