Manager- Information Technology

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Job Description

Manager- Information TechnologyThe Digitization & Automation Lead will drive enterprise wide digital transformation initiatives by leveraging Low Code/No Code (LCNC) platforms Robotic Process Automation (RPA) AI/ML technologies and end to end process automation. The role is accountable for identifying high impact automation opportunities designing scalable digital solutions managing the complete automation lifecycle and ensuring that all initiatives align with the organizations strategic objectives.
This position requires extensive cross functional collaboration with InfoSec Infrastructure Network Cloud and business teams to deliver secure compliant and efficient digital solutions. The Digitization & Automation Lead will also ensure platform governance solution standardization and enterprise wide adoption of automation capabilities.

A. Strategy & Leadership

• Develop and execute the organizations digitization and automation roadmap.
• Lead automation governance standards and best practices across business units.
• Champion citizen development using LCNC platforms.

B. Process Automation & Optimization

• Conduct process assessments feasibility studies and ROI analysis.
• Redesign and streamline business processes before automation.
• Implement workflow automation using BPM and LCNC tools (e.g. PowerApps Power Automate Mendix Outsystems Appian).

C. RPA Development & Management

• Lead RPA implementation using tools like UiPath / Automation Anywhere / BluePrism.
• Oversee solution design bot development testing deployment and maintenance.
• Ensure scalability security and compliance of automated solutions.

D. AI/ML & Intelligent Automation

• Drive adoption of AI/ML models predictive analytics NLP OCR document processing and intelligent decision-making systems.
• Oversee integration of AI capabilities into business processes and automated workflows.
• Strong understanding of how to blend RPA LCNC Python AI for cognitive automation.
• Ability to convert manual knowledge-based tasks into self-learning AI automation.
• Awareness of AI governance bias data privacy and model lifecycle management.

E. Delivery & Project Management

• Manage automation program delivery ensuring on-time and within-budget execution.
• Coordinate with cross-functional teams and external vendors for solution development.
• Establish KPIs dashboards and performance monitoring for automated solutions.

F. Change Management & Training

• Promote adoption of digital tools through training workshops and communication.
• Build and guide internal automation squads and citizen developers.
• Ensure documentation compliance and post-implementation support.