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Join our team to help create and develop the future of live entertainment and sports in Orange County!

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Mission: To enrich the lives in our community through shared experiences, welcoming spaces, and responsible actions.

Vision: We will be the social and entertainment center of Orange County – a place where the cultural kaleidoscope of the region converges and connects.  Our vibrant, rich collection of experiences will celebrate the diversity of our community.

Values: Be Safe | Do the Right Thing | Be Generous | Include Everyone | Make it Easy | Be Bold

Job Title:

Senior Director, Business Intelligence & Analytics

Pay Details:

The annual base salary range for this position in California is $180,000 to $250,000 per year. The starting pay for the successful candidate depends on various job-related factors, including but not limited to the candidate’s geographic location, job-related knowledge, skills, experience, education/training, internal value, peer equity, external market demands, and organizational considerations.

The Senior Director of Business Intelligence & Analytics provides executive leadership and strategic direction for OCVIBE-wide data and analytics initiatives across the OCVIBE entertainment district.

This role is accountable for shaping the organization’s data vision, driving innovation in analytics, and ensuring that insights and intelligence are embedded into strategic and operational decision-making across all business units. The Senior Director leads a multi-disciplinary team responsible for data governance, advanced analytics, reporting, and data platform evolution, fostering a culture of data-driven excellence.

As a member of the senior leadership team, this role partners with the SVP and executive stakeholders to align analytics strategy with corporate priorities, ensuring measurable business impact and future-readiness. ​​

Responsibilities

Strategic Leadership

• Define and own the OCSE data and analytics strategy, ensuring alignment with organizational goals and long-term growth objectives

• Establish a governance framework for data quality, accessibility, and compliance across all business units

• Translate business objectives into a multi-year data roadmap that advances innovation, operational efficiency, and fan experience

• Champion the use of analytics as a strategic enabler, influencing C-level decision-making and performance management across the organization

• Serve as the executive sponsor for analytics initiatives that cross departmental boundaries (e.g., operations, marketing, food & beverage, ticketing, guest experience)

OCVIBE Data Governance & Technology Oversight

• Guide the evolution of OCSE’s data architecture, ensuring scalability, security, and integration across systems

• Lead the design and execution of comprehensive data validation frameworks, ensuring accuracy and integrity across enterprise reporting systems through automated QA and exception handling processes resulting in business use visualizations in Power BI or Tableau

• Develop and deploy data validation models using Python (Pandas, NumPy) and advanced SQL queries to verify data consistency, completeness, and reliability across multiple data sources

• Oversee end-to-end data quality monitoring pipelines, writing and reviewing complex SQL queries to identify anomalies, reconcile discrepancies, and support business-critical analytics

• Run a team of data engineers and analysts to define validation rules, build test cases, and optimize ETL processes for improved data governance and compliance

• Implement scalable data validation tools and scripts in Python to automate routine data checks, reduce manual intervention, and enhance reporting accuracy

• Drive adoption of modern data stacks, cloud infrastructure, and advanced analytics capabilities including predictive modeling and AI

• Oversee the selection and management of OCVIBE analytics technologies and vendors, ensuring alignment with strategic and financial objectives

• Partner with IT leadership to ensure data accessibility, integrity, and availability across the organization

Organizational Leadership

• Lead and develop a multi-functional analytics organization, i