Manager, Process Excellence (India)

Why Ryan?

• Global Award-Winning Culture

• Flexible Work Environment

• Generous Paid Time Off

• World-Class Benefits and Compensation

• Rapid Growth Opportunities

• Company Sponsored Two-Way Transportation

• Exponential Career Growth

The Manager - Process Excellence and Transformation is responsible for leading strategic and operational initiatives including technology enabled solutions that improve operations across GCC locations. This hands-on transformation role requires a leader who can translate business problems into practical automation, artificial intelligence, workflow, integration, and analytics solutions; personally build solutions or direct their delivery; and demonstrate measurable improvements in productivity, quality, cycle time, capacity, cost, risk, client experience, and adoption. The role partners with Service Delivery, Technology and Global Shared Services teams to deliver measurable business outcomes and strengthen GCC capabilities.

Duties and Responsibilities

People:

• Build and lead a high-performing AI, Automation, and Transformation team by fostering a culture of innovation, accountability, collaboration, and continuous improvement.
• Provide guidance and support to Process Excellence team members on project execution, process analysis, documentation, and continuous improvement methodologies.
• Build organizational capability by driving training, knowledge-sharing, and adoption of process, quality, and transformation best practices.
• Promote a data-driven mindset and encourage teams to identify opportunities for operational improvement and business transformation.
• Establish and reinforce standards for process documentation, quality management, and knowledge management to ensure consistency and compliance across the organization.

Client:

• Partner with GCC and practice leaders to understand business priorities, surface high-value automation opportunities, and build an outcome-based transformation roadmap.
• Lead discovery workshops, process walkthroughs, and data analysis to identify manual effort, bottlenecks, rework, control gaps, and customer or team members pain points.
• Design, prototype, build, or lead the delivery of solutions using current technologies such as Microsoft Power Platform, AI agents, workflow automation, APIs, integrations, analytics, and low-code or pro-code services.
• Translate complex technical possibilities into clear business cases and delivery options and communicate associated risks and decisions to leadership.
• Develop and execute adoption and change-management plans, including communications, role-based enablement, stakeholder alignment, and transition to business ownership.
• Lead executive stakeholder engagement and communicate progress, decisions, dependencies, risks, and realized benefits with clarity.

Value:

• Lead process excellence projects to deliver measurable improvements in productivity, quality, cycle time, and cost efficiency.
• Define, track, and report KPIs to evaluate the effectiveness of process improvements, QMS/DMS, automation, and AI initiatives.
• Develop dashboards and reporting mechanisms to monitor performance, trends, and business impact.
• Identify risks and implement mitigation strategies to ensure successful project execution and sustained outcomes.
• Conduct audits to ensure compliance with quality standards and governance requirements.
• Design and manage Process Knowledge Tests (PKTs) to assess capability gaps and drive continuous learning.
• Collaborate with technology teams to enhance system integration, governance, and knowledge management.
• Partners with technology and business teams to evaluate, implement, and scale AI and automation opportunities while ensuring appropriate governance, adoption, and measurable impact.
• Drive continuous improvement initiatives focused on quality enhancement, cycle time reduction, and productivity gains.
• Establishes process excellence dashboards, scorecards, and reporting mechanisms to monitor project progress, efficiency gains, quality trends, adoption levels, and business impact.

Education and Experience:

• Bachelor’s degree in a relevant field.
• At least eight years of experience in automation, digital transformation, AI, technology-enabled operations, consulting, shared services, or related roles.
• A demonstrable track record of personally building, deploying, or leading production automation and AI solutions, supported by examples of the technologies used and business outcomes achieved.
• Evidence of measurable transformation outcomes such as productivity or capacity gains, cycle-time reduction, cost avoidance, quality improvement, risk reduction, or improved client and employee experience.

Key Skills and Competencies:

• Hands-on, outcome-oriented approach to AI, automation, digital transformation, and operational problem-solving.
• Strong business acumen with the ability to connect technology choices to value, risk, feasibility, and adoption.
• Executive communication, influencing, negotiation, and cross-functional stakeholder management.
• Structured analytical thinking, data interpretation, business-case development, and KPI design.
• Change leadership and adoption discipline, including training, communications, operating-model transition, and reinforcement.
• Sound judgment on responsible AI, data governance, security, controls, and human-in-the-loop design.
• Lean Six Sigma or continuous-improvement experience is helpful where it supports automation and transformation delivery.

Technical Skills:

• Microsoft Power Platform, including Power Automate, Power Apps, Power BI, and related governance capabilities.
• AI agents, prompt and evaluation practices, retrieval or knowledge integrations, and responsible AI controls.
• Workflow automation, RPA or task automation, APIs, system integrations, web services, and data pipelines.
• Analytics, dashboards, SQL or equivalent data skills, and value tracking.
• Solution documentation, source control or release practices, testing, monitoring, support transition, and access management.
• Proficiency with Microsoft 365 and collaboration tools. Familiarity with cloud services, low-code and pro-code development patterns is an advantage.

Supervisory Responsibilities:

• Manage and develop Automation, Transformation, or Process Excellence Analysts and project contributors.
• Lead cross-functional delivery teams and coordinate business, technology, risk, data, and change stakeholders.
• Set clear delivery expectations, review solution quality, and create accountability for adoption and realized business value.

Work Environment:

• Standard 40+ hour workweek in a professional office environment.
• Hybrid work model with a minimum of three days per week in the Hyderabad office.