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AI Director, Development EngineeringRole Description
You will lead development of current and future capabilities while shaping engineering strategy, delivery standards, architecture direction, and team performance. You will act as a change agent for modern software delivery—using AI, automation, DevSecOps, CI/CD, cloud practices, quality gates, and engineering intelligence to improve how teams build and ship.
You bring strategic judgment and practical execution. We trust you to shape the future—and make it real.
Key Outcomes
· Define and execute engineering strategy aligned to business and product goals.
· Improve SDLC maturity, cloud delivery, architecture governance, and quality practices.
· Lead and develop high-performing teams in a fast-paced environment.
· Use AI-enabled insights to improve delivery predictability, technical decision-making, and operational effectiveness.
· Drive modernization across engineering practices, tools, and operating models.
Roles & Responsibilities
· Provide strategic leadership to product development teams across the SDLC.
· Establish and implement best practices and standards for engineering, QA, DevOps, secure delivery, automation, and architecture governance.
· Work with executive and senior management and interdisciplinary teams to develop vision and strategy.
· Oversee analysis, design, programming, debugging, interoperability, and application modification activities.
· Identify opportunities to continuously improve SDLC practices, cloud delivery, CI/CD, quality, and engineering operations.
· Guide prioritization and trade-offs across roadmap candidates, resourcing, timing, technical debt, and business outcomes.
· Use approved AI tools to support architecture review, delivery-risk analysis, technical debt insights, quality reporting, documentation, and portfolio decision support.
· Lead, mentor, and develop high-performing individuals and teams.
Education
Bachelor’s degree in Computer Science or a related field required. Master’s degree preferred.
Experience(years including)
Ten or more years of software development experience, including complex whole lifecycle software development management. Five or more years leading staff. Five or more years in software product development or management. Experience leading technology direction preferred.
Skills
Engineering strategy, SDLC transformation, agile leadership, cloud application development, CI/CD, architecture governance, quality practices, DevSecOps, technical debt management, roadmap trade-offs, stakeholder influence, change leadership, and team development.
Abilities
Set vision, translate strategy into execution, make complex trade-offs, lead through change, influence executives and teams, develop leaders, evaluate technology direction, and govern responsible AI-enabled engineering practices.
Tools & Technologies
Jira, VersionOne, Azure DevOps, TFS, MS Office, CI/CD platforms, cloud platforms, infrastructure as code tools, quality analytics, test automation frameworks, observability platforms, documentation systems, engineering intelligence tools, and approved AI-enabled engineering and leadership tools.
AI Usage and Accountability Requirements
Use approved AI tools to support strategy development, architecture analysis, technical debt review, delivery-risk analysis, quality insights, documentation, stakeholder communication, and portfolio trade-off analysis. Validate AI-generated outputs before use. Do not enter sensitive, restricted, customer, healthcare, source code, financial, regulatory, or production data into unapproved tools. Human ownership remains required for strategy, architecture direction, people leadership, budget influence, risk acceptance, stakeholder alignment, and delivery outcomes.
Success Measures / Accountable Outcomes
Engineering strategy execution, SDLC maturity, product delivery quality, cloud and CI/CD adoption, technical debt reduction, team performance, roadmap trade-off quality, stakeholder trust, responsible AI adoption, and measurable improvement in product and engineering outcomes.
AI Competency Alignment & Proficiency Expectations
AI Competency
Target Proficiency
AI-Assisted Software Development
Advanced
AI-Driven Code Review and Quality Assurance
Advanced
AI-Driven DevOps and CI/CD Automation
Advanced
AI-Augmented Software Architecture Design
Advanced
AI-Enabled Technical Debt Management
Advanced
AI-Enabled Product Prioritization
Advanced
AI-Driven Project Portfolio Analytics
Advanced
Predictive Workforce Planning
Advanced
Authority and Autonomy
Establishes operational objectives, policies, procedures, and work plans and delegates assignments. Develops, modifies, and executes policies that affect immediate operations and may have company-wide effect. Accountable for department budget and business impact.
Greenway Health does not accept unsolicited agency or third-party recruiter submissions unless the agency has been formally authorized in writing by Greenway Health. Any resumes or candidate information submitted without prior authorization will not be considered.
In addition, Greenway Health will never request personal financial information, payment of any kind, or sensitive data (such as Social Security numbers or bank details) during the application or interview process. If you are contacted by anyone claiming to represent Greenway Health and they request money, personal information, or anything unusual, please treat the communication as suspicious and report it immediately to [email protected].
Greenway Health is committed to maintaining a secure, transparent, and trustworthy hiring process.
Skills Required
- Bachelor's degree in Computer Science or a related field
- Ten or more years of software development experience, including complex whole-lifecycle software development management
- Five or more years leading staff
- Five or more years in software product development or management
- Experience leading technology direction
- Master's degree
Greenway Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Greenway Health and has not been reviewed or approved by Greenway Health.
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Leave & Time Off Breadth — An open/unlimited PTO policy and 10 paid holidays are part of the package. Remote‑work flexibility complements the time‑off structure for many positions.
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Healthcare Strength — Medical, dental, and vision coverage are offered to full‑time employees and dependents, alongside company‑paid life, AD&D, and disability. Wellbeing resources such as an assistance program and wellness initiatives are included.
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Retirement Support — A 401(k) with matching each paycheck is available, with company match vesting after one year. HSA options include employer contributions for eligible plans.
Greenway Health Insights
What We Do
Fueling our customers’ success is at the heart of Greenway Health’s work. Driven by our five-point customer pledge and our mission to be trusted advisers, we provide innovative technology, quality services, and strategic partnerships that help practices grow profitably, improve patient outcomes, run efficiently, and remain compliant with federal and state regulations. Greenway’s team of clinical, financial, and technology experts is committed to innovative solutions that keep people healthier and happier. We connect providers to the right information and insights, at the right place and time, so they can make patient-driven care a reality. Greenway partners with organizations and progressive providers across multiple specialties, which translates into millions of lives touched daily by our solutions.
