Senior Director, Business Intelligence & Analytics

OC Sports & Entertainment-posted 10 days ago

$180,000 - $250,000/Yr

Full-time • Director

Onsite • Anaheim, CA

101-250 employees

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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.

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, including data engineering, business intelligence, and insights functions
Mentor directors and managers to build organizational capacity, promote professional growth, and ensure succession readiness
Create a culture of curiosity, continuous improvement, and analytical excellence across all OCVIBE entities
Oversee departmental budget, resource allocation, and vendor relationships to optimize return on analytics investments
Analytics Delivery and Impact
Oversee the design, development, and deployment of OCVIBE dashboards and analytics tools to drive real-time visibility and performance management
Ensure delivery of accurate, timely, and actionable insights that support operational, financial, and guest experience outcomes
Lead cross-functional initiatives to identify growth opportunities, efficiency improvements, and risk indicators through data-driven insights
Partner with executives to establish organizational KPIs and measurement frameworks that track progress toward strategic goals
Innovation and Future Readiness
Lead initiatives to advance predictive analytics, AI, and automation capabilities that enhance business foresight and agility
Identify and evaluate emerging technologies and methodologies that could enhance OCVIBE’s analytics maturity and competitive advantage
Represent the organization’s analytics capabilities externally — in industry forums, vendor partnerships, and strategic collaborations

Bachelor’s degree in Data Science, Computer Science, Business, Economics, or a related field; Master’s degree strongly preferred
10+ years of progressive experience in business intelligence, data analytics, or a related discipline, including 5+ years leading multi-functional or enterprise analytics teams
Proven success in developing and executing enterprise data strategies that drive measurable business outcomes
Advanced expertise with BI tools (Tableau, Power BI, Looker, Qlik), SQL, Python, and enterprise data warehousing
Strong working knowledge of cloud platforms (AWS, Azure, or Google Cloud) and modern data stack technologies
Demonstrated experience leading data governance, advanced analytics, and/or AI initiatives at scale
Exceptional communication, presentation, and influencing skills, with the ability to engage and align executive stakeholders
Strategic thinker who combines technical fluency with business acumen
Experience managing budgets, vendor contracts, and cross-functional project portfolios

Agile or lean project management experience preferred

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