Senior Director of Enterprise Data

Job Description

Affiliated Monitoring is a professional alarm and life-safety monitoring company, and the data generated across our monitoring centers is one of our most valuable and underused assets. We are looking for a Senior Director of Enterprise Data to build and operate the platform that turns that data into reliable reporting, analytics, and AI-driven capabilities.

You will report to the Chief Technology Officer and own the enterprise data function end to end: the data warehouse, the teams responsible for ingestion, reporting and analytics, and the integration of our data into AI models. This is a build-and-lead role for someone who can set the strategy, stand up the foundation, and develop a team that keeps delivering on it.

What You'll Do

Data Warehouse

• Define the enterprise data architecture and build and operate the central data warehouse (or lakehouse) as the single trusted source for the company
• Own data modeling standards, platform reliability, performance, and cost, whether the platform runs in the cloud or on-prem during the migration
• Establish data quality, lineage, and observability practices so issues are caught before they reach downstream users

Data Ingestion

• Lead the data engineering teams responsible for ingesting data from monitoring and dispatch systems, telephony, business applications, and third-party vendors
• Set standards for pipelines, orchestration, and integration patterns, and retire fragile point-to-point extracts
• Manage onshore and offshore engineers, including prioritization, code quality, and delivery against commitments

Reporting and Analytics

• Lead the reporting and analytics function, delivering dashboards, operational metrics, and self-service analytics to operations, finance, and executive leadership
• Establish a common set of metric definitions so teams stop reconciling competing numbers
• Partner with business leaders to turn questions about service levels, operator performance, and customer trends into durable data products

AI Model Integration

• Build the data foundation for AI initiatives, including curated, governed datasets for machine learning and LLM-based applications
• Partner with the technology team and business stakeholders to identify high-value AI use cases and move them from prototype into production
• Define guardrails for data used in AI, including access controls, privacy, and model monitoring

Governance and Leadership

• Establish data governance, security, retention, and access policies in partnership with Infrastructure and Security
• Build, develop, and retain a multi-layered data organization, including managers and individual contributors
• Own the data budget, vendor and tooling decisions, and roadmap, and report on progress and risk to executive leadership

Required Qualifications

• 12+ years of experience in data engineering, analytics, or data platforms, including 5+ years leading data organizations at the director level or above
• Proven experience designing, building, and operating an enterprise data warehouse or lakehouse (e.g., Snowflake, BigQuery, Redshift, Databricks)
• Deep understanding of data ingestion and integration patterns, including batch and streaming pipelines and orchestration tools
• Track record delivering reporting and analytics at scale, including BI platforms and a governed metrics layer
• Hands-on experience enabling AI and machine learning use cases with production data, including LLM-based applications
• Strong grounding in data governance, security, privacy, and access control
• Experience leading managers and blended onshore and offshore teams
• Clear communicator who can translate data strategy and trade-offs for executives and non-technical stakeholders

Preferred Qualifications

• Experience in alarm monitoring, security, public safety, or another 24/7 operations environment
• Experience with contact-center, telephony, or dispatch data
• Experience migrating a data platform from on-prem systems (e.g., SQL Server) to the cloud
• Background building a data function from an early stage, including setting up the team and tooling
• Familiarity with industry standards and audits relevant to monitoring centers (e.g., UL, SOC 2)

What We Offer

• The chance to build the enterprise data foundation at a company where reliability protects people and property
• Direct partnership with the CTO and senior leadership during a period of active modernization
• Ownership of both the data platform and the AI strategy built on top of it
• Competitive compensation and benefits

Compensation

The anticipated base salary for this position is $275,000, depending on experience, skills, and other job-related factors. This position is bonus eligible.

We are committed to a diverse and inclusive workforce, one that reflects the varied communities we serve. The services we offer and the products we build greatly benefit from a range of perspectives, which can only come from diversity of all types at all levels of the organization. Achieving true diversity and inclusion is the right thing to do and is also the smart thing for our business. We strongly encourage women, veterans, people with disabilities, people of color and gender nonconforming candidates to apply.

We are an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics.