Senior Director of Business Intelligence

Vertex Education • Chandler, AZ

1d

About The Position

At Vertex Education we are a team of high achievers, courageous leaders, and passionate believers in changing lives through education. As a purpose-led education services provider, our mission is destined to benefit many and yet it starts with just one person inspired to work together with us to make a memorable and meaningful difference for our clients, schools, students, and communities. Be the one who makes a difference—with us. The Senior Director of Business Intelligence will lead the analytics function at Vertex Education, driving strategic business decisions through high-impact analysis, building a Center of Excellence that serves the entire organization, and establishing the trusted data products and governance that empower leaders at every level. This role works in close partnership with a peer Director of Data Engineering. This leader will operate as a hands-on player-coach, mentoring a team of analysts while building a disciplined hybrid CoE with both central and business-embedded resources. The core mission is to evolve the BI function into a proactive, strategic engine, one that leaders across Vertex rely on to make their most important decisions. This role can be Director, Sr Director, or VP level depending on experience

Requirements

• 8+ years of experience in business intelligence or data analytics, with at least 3 years in a people management role leading an analytics team.
• Bachelor’s or Master’s degree in a quantitative field such as Business Analytics, Computer Science, Statistics, or Economics.
• Proven experience designing, implementing, and leading a Business Intelligence Center of Excellence (CoE) or a similar hybrid, matrixed analytics function.
• Hands-on proficiency in a modern data stack, including data visualization (Tableau), analytics engineering (dbt), and cloud data warehousing (Snowflake).
• A track record of translating complex, ambiguous business problems into concrete analytical projects that deliver strategic insights and influence executive-level decisions.
• Demonstrated ability to act as a player-coach, providing direct mentorship, reviewing technical work (e.g., SQL, dbt models), and elevating the skills of a growing analyst team.
• Experience establishing and enforcing data governance and quality assurance (QA) frameworks to ensure the reliability of all published data products.
• Proven ability to manage and prioritize a portfolio of analytics projects for multiple senior stakeholders in a fast-paced, multi-entity environment.

Nice To Haves

• Experience working in a multi-entity or multi-site operational environment (e.g., education, franchise models, healthcare, multi-location retail).
• Experience managing an operational budget for an analytics function, including software licensing (e.g., Tableau, Fivetran), contractor spend, and training.
• Familiarity with leveraging AI tools and techniques to augment analytical workflows and accelerate the delivery of insights.
• Experience using project management tools like Asana to manage sprints and team workflows.

Responsibilities

• Strategic Insight & Analysis: Translate complex, ambiguous business problems into specific, actionable analytical questions and workstreams to guide decision-making across enrollment, operations, academics, marketing, finance, and HR.
• Deliver rapid-response analysis for executive leadership and division heads, prioritizing speed and pragmatism to provide timely, directional answers for critical decisions.
• Conduct proactive data exploration to uncover insights and opportunities that drive significant business impact—moving beyond fulfilling requests to originating strategic recommendations.
• Present findings and strategic recommendations to the CEO and senior leaders, communicating complex data stories in a clear and compelling manner.
• Player-Coach Team Leadership: Lead, mentor, and develop a team of BI analysts through direct, hands-on coaching on technical skills (SQL, dbt, Tableau) and business acumen.
• Actively review analyst work, pairing on complex problems to improve code quality, modeling techniques, and the overall reliability of outputs.
• Recruit, hire, and onboard new central and business-embedded analysts to build out the hybrid Center of Excellence model across key business functions.
• Define clear career paths and performance expectations, fostering a team culture of accountability, proactive communication, and pride in quality work.
• Analytics Governance & Quality Assurance: Design and enforce a rigorous, non-negotiable pre-publication quality assurance (QA) process for all BI-produced data products to guarantee reliability.
• Own and advance the analytics engineering function, establishing standards within the dbt semantic layer to create certified business metrics.
• The Sr BI director owns business metric definitions (what ‘enrolled’ or ‘retained’ means in context); data engineering leads the governance forum and co-signs on the unified metric glossary.
• Own Tableau platform administration: content governance, folder structure, certified data sources, user permissions, and licensing management.
• Manage the BI team’s operational cadence using tools like Asana, including sprint planning, retrospectives, and status reporting to ensure disciplined execution.
• Act as the primary point of accountability for data quality incidents in published dashboards and analytics products.
• Diagnose whether issues originate in the analytics layer (fix directly) or the data layer (escalate to data engineering), and lead post-mortems.
• Strategic Prioritization & Cross-Functional Partnership: Partner with the CEO and executive leaders to define and manage the strategic BI roadmap, aligning priorities with the most critical business objectives across all divisions.
• Manage the intake of competing analytics requests from across the enterprise, protecting team capacity for the highest-impact work while communicating tradeoffs transparently.
• Collaborate closely with the peer Director of Data Engineering to align on dependencies, handoffs, shared metric definitions, and the data trust model (BI owns analytics layer accuracy; data engineering owns pipeline reliability).
• Drive self-service analytics adoption across the organization: training programs, documentation, office hours, change management, and usage measurement—partnering with data engineering on the underlying platform.

Benefits

• Enjoy industry-leading pay, rewards, referral bonuses, with unlimited flexible paid time-off for performance.
• Be able to care for your health and your family with comprehensive medical, dental and vision benefits and invest in your future with 401(k) plans with a 6% employer match on your contributions.
• Enhance your growth and development with mentoring and money to take training classes.

What This Job Offers

• Job Type: Full-time
• Career Level: Director