Ensono
Senior Practice Director, Mainframe Application Management
Remote - United States · Director · Full-time
Sponsorship not specified$200k-$250kDetected 21 days ago
PythonJavaGCPAzureDevOpsMachine LearningData AnalysisData EngineeringData ScienceA/B TestingBusiness DevelopmentPerformance ManagementLeadershipCommunicationCollaboration
About the role
- Define and execute the strategic vision and roadmap for Ensono's mainframe application management practice, including integration of AI/ML capabilities on mainframe platforms
- Identify emerging trends in AI, machine learning, and cognitive computing as applied to mainframe environments
- Establish best practices for integrating AI/ML models with mainframe applications and data platforms (z/OS, IBM Watson, IBM z16 AI accelerators)
Responsibilities
- Develop innovative service offerings that leverage AI for mainframe application optimization, predictive analytics, and intelligent automation
- Drive adoption of AIOps for mainframe management, including predictive monitoring, anomalous behavior detection, and intelligent incident remediation
- Drive revenue growth for both AI-enabled mainframe application services and traditional application managed services
- Partner with sales and pre-sales teams to develop compelling solutions combining mainframe expertise with AI capabilities for intelligent application management & optimization
- Lead pursuit activities showcasing Ensono's capability to support mainframe application performance, security, and reliability
- Develop pricing strategies for traditional and AI-powered mainframe application services including predictive maintenance, intelligent automation, and data analytics
- With the support of delivery director and management teams, oversee delivery of mainframe application management services enhanced by AI-driven monitoring, analytics, and automation
- Implement intelligent observability and AIOps platforms for proactive issue detection and resolution
- Develop Centers of Excellence for AI-enabled mainframe services and cognitive application modernization
- Serve as trusted advisor to clients on best practices to support, enhance and optimize mainframe applications and unlock data value
Requirements
- 10+ years of experience in mainframe application management with progressive leadership responsibility
- 5+ years of experience in practice development, business development, or service portfolio management
- Deep knowledge of mainframe application platforms, development tools, and deployment processes
- Strong understanding of mainframe schedulers (TWS, Control-M), code promotion tools, and application monitoring solutions
- Experience with mainframe databases (DB2, IMS, VSAM) and data pipelines for AI/ML model consumption
- Knowledge of AIOps platforms, intelligent automation tools, and AI-powered application performance management
- Familiarity with Python, Java, or other AI framework languages running on z/OS
- Knowledge of mainframe modernization patterns including cloud migration, containerization, API enablement, and AI-driven code transformation
- Familiarity with DevOps, Agile, and ITIL methodologies applied to mainframe environments
- Ability to communicate complex AI concepts to technical and business audiences
Nice to have
- Experience implementing AI use cases on mainframe environments (predictive analytics, intelligent automation, fraud detection)
- Background in industry analyst relations (Gartner, Forrester, ISG, Everest Group)
- Knowledge of competitive landscape in AI-powered mainframe services
- Experience with partner ecosystem development including AI/ML vendors
- MBA or advanced degree in Computer Science, Information Systems, Data Science, or Business Administration
- Entrepreneurial mindset and innovation orientation
- AI literacy and technology trend awareness
- Client-centric approach and consultative selling
Skills
- Represent Ensono at industry events focusing on mainframe innovation, AI transformation, and hybrid cloud architectures
- Recruit talent with capabilities in mainframe AI accelerators, Python/AI frameworks on z/OS, and hybrid cloud AI integration
Compensation
- As of the date of this posting, a good faith estimate of the current pay scale for this role is $200,000 to $250,000 annually based on a full-time schedule.
Benefits
- Drive use of machine learning for intelligent workload scheduling, resource optimization, and predictive failure analysis
This listing is sourced directly from Ensono's careers page and normalized into a canonical job model.