Senior Practice Director, Mainframe Management

Ensono is a technology adviser and managed service provider that helps clients achieve key business outcomes.

This role leads the practice of mainframe application management, driving innovation, service delivery excellence, and business growth to establish Ensono as a market leader in mainframe application services.

• Define and execute the strategic vision and roadmap for Ensono’s mainframe application management practice, including integration of AI/ML capabilities on mainframe platforms.
• 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.
• Build thought leadership around AI‑enhanced mainframe modernization on the mainframe or in hybrid models through industry engagement, white papers, and analyst relations.
• 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).

• 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 and 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.
• Build relationships with AI/ML technology partners (IBM Watson, Google Cloud AI, Azure AI) for hybrid mainframe‑cloud AI solutions.
• Represent Ensono at industry events focusing on mainframe innovation, AI transformation, and hybrid cloud architectures.

• Oversee delivery of mainframe application management services enhanced by AI‑driven monitoring, analytics, and automation.
• Implement AI‑powered tools for code optimization, application performance management, and capacity planning on mainframe platforms.
• Use machine learning for intelligent workload scheduling, resource optimization, and predictive failure analysis.
• Leverage AI for automated code remediation, vulnerability detection, and compliance monitoring in mainframe applications.
• Implement intelligent observability and AIOps platforms for proactive issue detection and resolution.
• Lead initiatives to extract and analyze mainframe data for AI/ML model training and business intelligence.

• Build a high‑performing practice team with expertise in both traditional mainframe skills and emerging AI technologies.
• Recruit talent with capabilities in mainframe AI accelerators, Python/AI frameworks on z/OS, and hybrid cloud AI integration.
• Co‑create upskilling programs with the Mainframe AMS Delivery Director to train engineers in AI/ML concepts, prompt engineering, and intelligent automation.
• Foster a culture of innovation that embraces AI experimentation while maintaining operational stability.
• Develop Centers of Excellence for AI‑enabled mainframe services and cognitive application modernization.

• Serve as a trusted advisor to clients on best practices to support, enhance, and optimize mainframe applications and unlock data value.
• Drive client satisfaction through continuous improvement, insights, predictive recommendations, and proactive optimization.

• Own P&L responsibility for the mainframe application management practice.

• Practice revenue growth and profitability, including AI service lines.
• Client satisfaction and retention rates.
• New logo acquisition and pipeline generation for AI‑enabled mainframe services.
• Service delivery quality and SLA attainment.
• AI…