Senior Director -Enterprise Architecture and AI

Who We Are

Oncourse Home Solutions, also operated as American Water Resources, is a trusted home protection provider helping homeowners across the country protect what matters most. We are a $500 million organization backed by private equity firm Apax Partners, serving 2 million customers across 43 states. We partner with 25+ utilities and municipalities (and growing!) to provide customized solutions tailored to any community - delivering real value where people live.  We help homeowners protect the essential systems that keep their homes running - from HVAC, appliances, and electrical to water, sewer, gas lines, and more - so they can avoid the stress and financial impact of unexpected repairs. Our work helps homeowners stay safe, comfortable, and confident in their homes every day. 

At Oncourse, our people are what makes that possible. We call ourselves SUPERs - Successful, United, Progressive, Empathetic, and Reliable - because that’s how we show up for our customers and for each other. We invest in our employees through competitive benefits, an inclusive culture, and employee-led resource groups that strengthen connection, community, and belonging across the company. 

As an equal opportunity employer, our employment decisions are based on business needs, job requirements and individual qualifications without regard to race, color, religion, age, sex (including pregnancy), sexual orientation, gender identity, national origin, ancestry, marital status, parental status, mental or physical disability, military or veteran status, or any other basis protected by federal, state, or local law. Oncourse Home Solutions is committed to recruiting and retaining talented applicants and to providing all employees with a workplace free from discrimination and/or harassment.  

  

Position Summary

Senior Director of Enterprise Architecture and AI will lead the enterprise application architecture function and design and implementation of cloud-based API and data solutions, with a strong emphasis on enterprise architecture, application Architecture, API Management (APIM) platform, data lakes platforms like Snowflake, and scalable SaaS solutions. This role involves architecting robust and efficient data infrastructures and business applications that align with the organization’s strategic goals. The candidate will be hands-on and lead, manage, and mentor teams of engineers and architects at varying levels, driving both the data strategy and enterprise architecture initiatives. High-level collaboration with cross-functional teams and leadership is critical to support advanced analytics, business intelligence, and overall operational excellence. 

Located at our office in Naperville, IL. Our office environment is a key driver of our company culture and employee experience, so a regular in-office hybrid model (generally T-TH in office and M & F remote) is required.

 

Responsibilities include but are not limited to: 

•  Leadership and Team Management: Lead, manage, and mentor teams of architects and data engineers at varying levels, API developers and managers, fostering a collaborative and high-performance work environment to meet business objectives. 

• Develop and execute a comprehensive data strategy that aligns with the organization’s goals, focusing on cloud-based data solutions and platforms like Snowflake. 

• Enterprise Architecture: Design and implement scalable enterprise and business application architectures, ensuring integration with existing systems and alignment with business objectives. 

• Cloud and SaaS Solutions: Lead the adoption and optimization of cloud-based and SaaS solutions, ensuring they meet security, scalability, and performance standards.  

• Data Infrastructure: Architect and manage robust data infrastructures, including data lakes, to support advanced analytics, business intelligence, and operational needs. 

• API Management: Oversee the design, implementation, and maintenance of restful APIs, ensuring they enable seamless integration and communication between systems and applications. 

• Data Governance: Establish and enforce data governance policies and best practices to ensure data quality, security, and compliance with regulatory requirements. 

• Innovation and Continuous Improvement: Drive continuous improvement and innovation in data engineering and enterprise architecture practices, staying current with industry trends and emerging technologies. 

• Resource Allocation and Budget Management: Manage resources effectively, including budget planning and allocation, to support data and application architecture initiatives and ensure optimal use of technology investments. 

• Responsible for