Director, Head of Data Engineering

About the Role

Affiliated Monitoring is seeking a visionary and hands-on Director, Head of Data Engineering to lead the evolution of our enterprise data capabilities. This is a critical leadership position responsible for architecting and implementing a modern data infrastructure—including our first enterprise data warehouse—to support our rapidly expanding needs in business intelligence, AI, and operational reporting.

Our systems produce vast amounts of transactional data, which remain underutilized. You will spearhead the transformation of our data environment into a strategic asset—one that not only empowers decision-making but also fuels the next generation of AI-driven innovation.

This role is both strategic and technical. You will start as a player-coach (approximately 50% hands-on), evolving into a leadership-heavy role (up to 75%) as you scale the team and build a future-ready data organization.

If you're excited about the prospect of shaping a data strategy from the ground up, enabling machine learning and AI, and building a high-performance team, this is the opportunity for you.

About Us

At Affiliated Monitoring (www.affiliated.com), we protect what matters most. As a leading provider of personal and business security monitoring services, our work has real-life impact—helping people live safer, more independent lives.

With over 40 years of profitable growth, we're a company where stability meets innovation. Our technology group operates like an entrepreneurial startup within a well-established business. We move fast, build smart, and take pride in creating reliable, scalable systems that power everything from mobile apps and APIs to real-time alerting and integrated web applications.

As the security industry undergoes a digital transformation, AI will play a central role in our future—from automating workflows to powering predictive insights. The Director, Head of Data Engineering will be at the forefront of making this a reality.

Key Responsibilities

• Design and implement a modern, scalable enterprise data warehouse from the ground up
• Lead the development of a unified data architecture that supports operational reporting, business intelligence, and AI readiness
• Evaluate and select data platforms, tools, and technologies (e.g., Snowflake, dbt, Airflow) that support current needs and future innovation
• Partner with Engineering, Product, and Business stakeholders to understand data requirements and translate them into actionable architecture and pipelines
• Advance our ability to deliver self-service analytics across the organization
• Build and mentor a high-performing data team; foster a collaborative, agile, and innovation-driven culture
• Implement robust data governance, quality assurance, and security practices
• Develop and execute a strategy to support machine learning, natural language processing, and other AI use cases
• Stay informed on emerging trends in data engineering and AI, and integrate best practices into our roadmap
• Ensure data initiatives are delivered on time, within budget, and aligned with business goals