Director, Enterprise Data Strategy & Revenue Analytics

About Modern Campus

Modern Campus empowers 1,700+ higher education institutions to thrive when transformation is required to respond to lower student enrollments and revenue, rising costs, crushing student debt, and administrative complexity.
The Modern Campus learner-to-earner lifecycle platform power solutions for web content management, conversational text messaging, catalog and curriculum management, career pathways, student engagement and development, and non-traditional student management. The result: innovative institutions engage their modern learners for life, while providing modern administrators with the tools needed to streamline workflows and drive high efficiency.
Learn how Modern Campus is leading the modern learner-to-earner movement at moderncampus.com and follow us on LinkedIn.

What's the role?

We’re seeking a Director, Enterprise Data Strategy & Revenue Analytics, to define and own Modern Campus’s data strategy across our go-to-market ecosystem. Reporting directly to the Senior Vice President, Revenue Operations, this is a highly strategic role that partners across Revenue, Marketing, Customer Experience, Product, and Finance to ensure that our institutional-impact story is grounded in trusted, unified, and actionable data.

In this role, you will serve as the architect behind how Modern Campus leverages data to drive growth, designing our enterprise data framework, evolving how KPIs are defined and governed, and enabling our teams to make confident decisions with clarity and speed. You will elevate analytics from reporting to narrative: telling the story of performance, identifying opportunities, and guiding the business toward its most critical outcomes.

What You’ll Own & Deliver

Enterprise Data Strategy & Governance

• Define, implement, and continuously evolve Modern Campus’s enterprise-wide data strategy to support the full learner-to-earner lifecycle narrative.
• Establish data governance standards including taxonomy, KPI definitions, data lineage, validation rules, and stewardship models to ensure accuracy, consistency, and trust across all systems.
• Lead data quality management (auditing, cleansing, normalization, and enrichment) to support long-term scalability.

Cross-Functional Insight Architecture

• Create a unified KPI framework tied to strategic revenue, retention, and customer engagement goals; ensure all teams operate from one source of truth.
• Build and maintain a scalable analytics infrastructure that supports real-time and predictive insights across the customer journey.
• Partner closely with Sales, Marketing, Customer Experience, and Finance to drive annual and quarterly planning cycles through forecasting, predictive modeling, and scenario analysis.

Advanced Analytics & Predictive Modeling

• Use SQL, Power BI, and other tools to synthesize complex data sets, build predictive models, and develop clear, compelling insights.
• Proactively identify growth constraints, risk signals, pipeline trends, and customer behavior patterns to inform strategy and prioritization.
• Transform data into narratives using storytelling techniques grounded in higher-education realities and Modern Campus’s value proposition.

Systems Ownership & Optimization

• Partner with sales, marketing and customer operations to help drive the data architecture across CRM (Salesforce), marketing automation, product usage data, and operational databases.
• Ensure data capture processes are optimized to support future analytics requirements.
• Lead and prioritize enhancements that enable higher-quality reporting and eliminate manual work.

Enablement & Change Leadership

• Advocate for a data-driven culture across Modern Campus by educating stakeholders, improving data literacy, and enabling self-service analytics.
• Collaborate across product and go-to-market teams to ensure insights influence strategy, roadmap decisions, and customer engagement motions.
• Serve as a trusted advisor to the executive leadership and senior leadership team to bring confidence, clarity, and strategic perspective to every conversation.

What you offer...

• 7+ years in analytics, business intelligence, or data strategy roles, with increasing scope.
• Deep expertise in data architecture, modeling, and enterprise reporting frameworks.
• Advanced proficiency in Power BI (or equivalent), SQL, and enterprise data tools.
• Experience with Salesforce or similar CRM systems.
• Strong executive storytelling, with the ability to translate data into strategic direction.
• A bias toward action, extreme ownership, and a commitment to accuracy and integrity.
• Ability to operate effectively in a fast-paced, matrixed, high-growth environment.
• A collaborative mindset - someone who builds trust across functions and elevates the people around them.
• Passion for higher education and the impact technology can have on learner and institutional success.

What we offer...

• The base salary range* for this position is between $100,000-$140,000
• Remote first workplace!
• Rewards and recognition programs
• Learning and development opportunities
• The ability to make a difference every day for universities trying to grow and students trying to learn!

Only qualified candidates selected for interviews will be contacted.

What we believe...

At Modern Campus, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply for our positions. Modern Campus is proud to be an equal opportunity workplace and is committed to bring on hires regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status (for US candidates).  If you require accommodations during any part of the interview process due to a disability, please let our recruiter know.
* Our salary ranges reflect the minimum and maximum target for new hires for the position within the US and Canada. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training.