Required Qualifications:** + 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 + Proven track record building and growing technology service practices or business units + Strong background managing large-scale mainframe environments (z/OS, z/VM, z/VSE) for enterprise clients + Experience with AI/ML initiatives on mainframe platforms or in hybrid mainframe-cloud architectures + Demonstrated success in client-facing roles with C-level engagement experience + Deep knowledge of mainframe application platforms, development tools, and deployment processes + Understanding of AI capabilities on IBM Z platforms including Telum AI accelerators, z/OS AI Toolkit, and IBM Watson integration + 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 + Strategic thinking with ability to articulate vision for AI-enhanced mainframe application services + Strong business acumen with experience managing P&L and driving profitable growth + Ability to communicate complex AI concepts to technical and business audiences + Exceptional client relationship management and executive communication skills + Proven ability to build, inspire, and lead technical teams through transformation + Excellence in collaboration across sales, delivery, and operational teams + Strong presentation and storytelling skills for internal and external audiences **Preferred Qualifications:** + Experience implementing AI use cases on mainframe environments (predictive analytics, intelligent automation, fraud detection) + Certifications in IBM Z AI capabilities, machine learning, or data science + Background in industry analyst relations (Gartner, Forrester, ISG, Everest Group) + Knowledge of competitive landscape in AI-powered mainframe services + Expertise in financial services, insurance, healthcare, or state and local government verticals where mainframe AI applications are emerging + Experience with partner ecosystem development including AI/ML vendors + MBA or advanced degree in Computer Science, Information Systems, Data Science, or Business Administration **Competencies** + Entrepreneurial mindset and innovation orientation + Strategic vision with execution excellence + AI literacy and technology trend awareness + Client-centric approach and consultative selling + Change leadership and transformation management + Financial acumen and business management + Team development and talent cultivation + Cross-functional collaboration and influence + Market awareness and competitive intelligence **Success Metrics** + 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 adoption rates and automation metrics + Team utilization and productivity + Employee engagement and retention + Market recognition and thought leadership impact in mainframe AI space **Why Ensono?** Senior Practice Director, Mainframe Application ManagementRemote - United StatesJR013745 At Ensono, our **Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things** **_!_** We enable our clients to achieve key business outcomes that reshape how our world runs.