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
Required 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
Cast & Crew provides a comprehensive package of employee benefits including: Medical, Dental, Vision, PTO, health and wellness programs, employee discounts, and more! Note: Cast & Crew benefits are subject to eligibility requirements.
Cast & Crew is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
CA residents
Your personal information may be collected in connection with certain services provided by Cast & Crew or its affiliated companies. A summary of your California privacy rights can be found at: https://www.castandcrew.com/privacy-policy/
Compensation is commensurate with various factors including, but not limited to, relevant experience, qualifications, skills, training, licensure, certifications, geographic cost of labor, and other business and organizational needs. Compensation range for candidates in other locations may differ based on the cost of labor in that location. The compensation range for this position is: $180,000.00 - $200,000.00 per year.
