Senior Practice Director Mainframe
Job Summary
The Practice Director of Mainframe Application Management is responsible for leading and growing Ensono's mainframe application practice. This role focuses on strategic development, service delivery excellence, and driving business growth through AI-enabled mainframe solutions. The director will oversee a high-performing team to deliver innovative, intelligent automation and optimization services to enterprise clients.
Responsibilities
- Lead and grow the mainframe application management practice
- Drive AI/ML integration and AIOps adoption
- Manage P&L and achieve revenue growth
- Oversee service delivery and operational excellence
- Develop talent and lead high-performing teams
Required Skills
- Mainframe Infrastructure (z/OS, z/VM, z/VSE)
- AI/ML & AIOps expertise
- Practice & Business Development
- P&L Management
- Strategic Leadership
Job Details
### Role Overview
The Practice Director is responsible for building, leading, and growing the mainframe application management practice. This role combines strategic practice development, service delivery excellence, and business growth to establish the company as a market leader.
### Key Responsibilities
**Practice Development & Strategy**
- Define and execute the strategic vision and roadmap for the mainframe application management practice, including integration of AI/ML capabilities.
- Develop innovative service offerings leveraging AI for optimization, predictive analytics, and intelligent automation.
- Drive adoption of AIOps for mainframe management, including predictive monitoring and intelligent incident remediation.
- Build thought leadership around AI-enhanced mainframe modernization.
**Business Growth & Market Development**
- Drive revenue growth for AI-enabled and traditional mainframe application services.
- Partner with sales teams to develop solutions combining mainframe expertise with AI capabilities.
- Develop pricing strategies for AI-powered services including predictive maintenance and intelligent automation.
- Build relationships with AI/ML technology partners for hybrid mainframe-cloud solutions.
**Service Delivery & Operational Excellence**
- Oversee delivery of services enhanced by AI-driven monitoring, analytics, and automation.
- Implement AI-powered tools for code optimization, performance management, and capacity planning.
- Lead initiatives to extract and analyze mainframe data for AI/ML model training.
**Team Leadership & Talent Development**
- Build a high-performing team with expertise in mainframe skills and emerging AI technologies.
- Create upskilling programs to train engineers in AI/ML concepts and intelligent automation.
- Foster a culture of innovation while maintaining operational stability.
### Required Qualifications
- 10+ years of experience in mainframe application management with leadership responsibility.
- 5+ years of experience in practice development, business development, or service portfolio management.
- Strong background managing large-scale mainframe environments (z/OS, z/VM, z/VSE).
- Experience with AI/ML initiatives on mainframe platforms or in hybrid architectures.
- Deep knowledge of mainframe application platforms, development tools, and deployment processes.
- Understanding of AI capabilities on IBM Z platforms (Telum AI accelerators, z/OS AI Toolkit, IBM Watson).
- Familiarity with Python, Java, or other AI framework languages running on z/OS.
- Strong business acumen with experience managing P&L and driving profitable growth.