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The Director of Technology Engineering & Data Services is accountable for CallTek's software engineering, data analytics and automation, and enterprise architecture capabilities. The role leads the teams that design, build, integrate, govern, and continuously improve the applications, platforms, data products, automations, and architectural standards that support internal operations and client solutions. This leader converts business priorities into executable product and engineering roadmaps, establishes disciplined delivery practices, and ensures that new solutions are secure, maintainable, observable, cost-effective, and ready for production support. The Director is expected to raise delivery predictability while encouraging innovation, reuse, automation, and responsible adoption of artificial intelligence. Organizational Scope Development • Lead application development, platform engineering, integrations, APIs, internal tools, client-facing solutions, quality engineering, release practices, and technical maintenance. • Establish consistent software development lifecycle standards covering requirements, design, coding, testing, security review, documentation, deployment, support handoff, and post-release measurement. • Manage delivery capacity, prioritization, product ownership, estimation, technical debt, source control, environment strategy, and engineering quality. Data Analytics & Automation • Lead reporting, dashboards, data pipelines, operational analytics, business intelligence, process automation, workflow orchestration, and AI-enabled productivity solutions. • Establish data definitions, ownership, quality controls, access rules, lineage, retention, documentation, and trusted sources for management and client reporting. • Measure realized benefits such as hours saved, cycle-time reduction, error reduction, improved decision quality, revenue support, and service performance improvement. Enterprise Architecture • Own enterprise architecture principles, target-state designs, technology standards, integration patterns, solution reviews, reference architectures, and technology lifecycle decisions. • Reduce fragmentation and unnecessary duplication by promoting reusable services, approved platforms, secure patterns, interoperability, and clear system ownership. • Maintain current-state and target-state views of major applications, data flows, integrations, infrastructure dependencies, identity boundaries, and security requirements. Key Responsibilities 1. Engineering and Data Strategy: Develop and maintain a multi-year roadmap for applications, platforms, data, automation, and architecture aligned with company strategy, client needs, operational pain points, and investment priorities. 2. Portfolio and Product Governance: Create a transparent intake, prioritization, capacity, and portfolio-review process. Clarify product owners, business outcomes, scope, dependencies, acceptance criteria, and benefits for each initiative. 3. Software Delivery Excellence: Establish disciplined SDLC and DevSecOps practices, including version control, code review, automated testing, environment management, CI/CD, release controls, secure development, and technical documentation. 4. Architecture Governance: Lead solution architecture reviews and approve technology patterns, integrations, data models, non-functional requirements, platform selections, and exceptions to standards. 5. Data Governance and Analytics: Ensure that dashboards and reports use defined metrics, trusted sources, quality checks, appropriate access, and clear business ownership. Reduce manual and conflicting reporting. 6. Automation and AI Enablement: Identify and prioritize automation and AI opportunities that improve productivity, service quality, insight, or client value. Require responsible controls, human oversight, security review, and measurable outcomes. 7. Integration and Platform Reliability: Ensure that APIs, integr