Senior Director, Analytics and Automation

At Curriculum Associates, we believe in the potential of every child and are changing the face of education technology with award-winning learning programs like i-Ready that serve a third of the nation’s K–8 students. For more than 50 years, our commitment to making classrooms better places, serving educators, and supporting accessible learning experiences for all students has driven the continuous improvement of our innovative programs. Our team of more than 2,500 employees is composed of lifelong learners who stand behind this mission, working tirelessly to serve the educational community with world-class programs and support every day.

We are seeking an accomplished Data & Analytics Leader to build, scale, and own the end-to-end data ecosystem for Curriculum Associates. This role leads our Data & Insights Center of Excellence and is responsible for setting the enterprise data vision, defining strategy, and ensuring seamless execution across data engineering, data platforms, data governance, data quality, operations, and enterprise analytics.

The ideal candidate is an influential and strategic leader who can balance long-term platform thinking with short-term business value delivery. They will elevate how the company uses data—moving from functional reporting to a modern, governed, scalable data and analytics capability that fuels decision-making, automation, and growth.

Success in this role will be measured by the maturity of data foundations, improved data quality, adoption of analytics, and measurable business impact from insights and data-driven decision making.

The Impact You'll Have:

Enterprise Data & Analytics Strategy

• Define and execute a comprehensive enterprise-wide data and analytics strategy, aligned to organizational goals and future growth.

• Establish the roadmap for data engineering, governance, quality, operations, and insights—balancing innovation, speed, and reliability.

• Drive modernization of data platforms (e.g., Snowflake, Azure, Databricks) and BI tools (Power BI, Tableau).

Data Engineering & Data Platform Leadership

• Lead the design, build, and maintenance of scalable, secure, and reliable data pipelines, data models, and integration frameworks.

• Own the enterprise data architecture and evolving the data stack in partnership with Engineering and Cloud teams.

• Oversee ingestion, transformation, orchestration, and monitoring to ensure timely and accurate data availability.

Data Governance & Data Quality

• Establish a strong data governance operating model including ownership, stewardship, standards, and policies.

• Implement frameworks for data quality measurement, metadata management, cataloguing, lineage, and controlled access.

• Partner with Security, Compliance, Legal, and business leaders to ensure data is used responsibly, ethically, and compliantly.

Data Operations & Platform Management

• Own end-to-end data operations, focusing on system reliability, SLAs, monitoring, performance optimization, and operational excellence.

• Set up incident management, change management, and service-level processes for data platforms.

• Ensure predictable, scalable, and well-documented data operations for all business functions.

Enterprise Insights & Analytics

• Lead a global team of analysts and insight specialists to deliver actionable dashboards, reports, and advanced analytics.

• Define enterprise KPI frameworks, business logic, and reporting standards.

• Champion self-service analytics through curated semantic models, governed datasets, and reusable analytics assets.

• Promote data storytelling and build a culture of insight-driven decision making across all functions.

Leadership, Stakeholder Management & Change Enablement

• Build, coach, and scale a high-performing global team across US and India.

• Act as a strategic advisor and thought partner to executives and business leaders across Product, Sales, Operations, Finance, HR, and Customer Experience.

• Influence and drive organizational adoption of analytics platforms and data-driven behaviors.

• Foster a culture of continuous improvement, innovation, and data literacy.

Measurement & Business Impact

• Define success metrics for data platforms, analytics, and insight adoption.

• Track value realization from data initiatives, demonstrating operational efficie