Head of Automation Project Management

Manage software development projects from initiation and planning through production implementation, stabilization, and closure. • Develop and maintain integrated project plans, schedules, milestones, budgets, resource plans, decision logs, and delivery forecasts. • Monitor execution against commitments and proactively manage scope, risks, issues, assumptions, dependencies, and change requests. • Facilitate project governance, working sessions, status reviews, release readiness reviews, and leadership updates. • Ensure projects are delivered within approved scope, schedule, budget, and quality expectations. Software Development Project Management • Manage application development, modernization, platform enhancement, integration, cloud, data, and automation projects. • Coordinate Agile delivery activities, including backlog readiness, sprint and release planning, dependency tracking, and delivery reporting. • Partner with product managers, product owners, engineering managers, architects, quality engineering, DevOps, operations, security, and business stakeholders. • Track delivery health using meaningful schedule, scope, quality, risk, financial, and outcome measures. • Ensure required technical, business, security, compliance, testing, deployment, and support activities are incorporated into the project plan. AI-DLC Project Coordination • Manage software development projects where engineering teams use established AI-DLC tools, workflows, and practices. • Coordinate deliverables and dependencies across AI-assisted requirements, design, development, testing, documentation, validation, and production-readiness activities. • Ensure project plans account for applicable human review, quality, security, privacy, compliance, traceability, and approval requirements. • Track project-level productivity, quality, delivery, and outcome measures agreed upon by engineering and product leadership. • Escalate delivery risks, unresolved decisions, resource constraints, or governance dependencies affecting AI-DLC-enabled work. • Work within established AI-DLC methods and standards rather than owning enterprise adoption or methodology definition. AIOps Initiative Management • Manage initiatives involving observability, monitoring, alert optimization, operational automation, event correlation, incident management, and platform reliability. • Coordinate work across engineering, Site Reliability Engineering, DevOps, platform, infrastructure, operations, and support teams. • Track implementation milestones, integration dependencies, testing, operational readiness, support transitions, and measurable project outcomes. • Ensure runbooks, monitoring, support ownership, escalation paths, and production-readiness requirements are completed before project closure. • Stakeholder and Resource Coordination • Serve as the primary project contact for business, product, technology, and leadership stakeholders. • Coordinate internal employees and vendor resources assigned to project workstreams. • Ensure vendor resources understand project priorities, schedules, deliverables, dependencies, and quality expectations. • Track capacity, assignments, and delivery progress across project resources, while escalating resource gaps or performance risks through the appropriate management channels. • Prepare concise project status reports and present progress, risks, decisions, financial status, and recommendations to leadership.

Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related field, or equivalent practical experience. • 6-8 years of project management experience delivering software development or enterprise technology initiatives. • Proven experience managing medium to large software development projects in Agile, Scrum, or SAFe environments. • Strong understanding of the Software Development Lifecycle, release management, quality engineering, and production implementation practices. • Experience coordinating cross-functional teams that include product, engineering, architecture, quality engineering, DevOps, operations, security, and business partners. • Demonstrated experience managing project scope, schedules, budgets, risks, issues, dependencies, resource plans, and delivery milestones. • Ability to manage internal and vendor resources assigned to project delivery without responsibility for vendor contracting or commercial relationship management. • Strong written and verbal communication, facilitation, organization, negotiation, problem-solving, and stakeholder management skills. • Ability to communicate technical delivery status and risks clearly to both technical teams and senior leadership. • Experience managing projects where engineering teams use AI-assisted development tools or AI-DLC practices. • Experience managing AIOps, observability, monitoring, operational automation, incident management, DevOps, or reliability initiatives. • Familiarity with cloud platforms, APIs, microservices, CI/CD pipelines, modern application architectures, and enterprise integration patterns. • Experience with delivery and collaboration tools such as Rally, Jira, Azure DevOps, ServiceNow, GitHub, or similar platforms. • PMP, PMI-ACP, Certified ScrumMaster, SAFe, or comparable project management or Agile certification. • Experience delivering technology initiatives in healthcare, insurance, financial services, or another regulated environment.

Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to View email address on click.appcast.io.