Key Responsibilities
1. Roadmap Ownership
- Define, update, and execute the automation roadmap across Automation Agenda AI, RPA, and workflow solutions and enhance productivity
- Align strategic initiatives with corporate goals, customer expectations, and emerging market opportunities.
- Maintain visibility of project milestones, dependencies, and timelines across business locations.
2. Automation Expertise
- Evaluate Export and Import Process and find out the opportunity for Automation and improvement
- Evaluate automation opportunities and conceptualize scalable solutions different digital solution
- Partner with internal technology teams and external vendors to architect and deploy modern automation capabilities.
- Champion process transformation using orchestration, intelligent extraction, and decision automation tools.
2. Productivity Expertise
- Conduct Time and Motion across different process of Import and export to reach out for optimum number of resources
- Have in-depth knowledge of any TMS platform (Transport management system)
- Open for travel to different countries.
- Champion process transformation using KAIZEN, Lean and Six Sigma
3. Cross-Functional Delivery
- Translate business requirements into detailed workflows, user stories, data requirements, and acceptance criteria.
- Collaborate with Operations, IT, Data, and Product teams to ensure robust design, testing, deployment, and adoption.
- Promote innovation, collaboration, and reusable automation design standards across the organization.
4. Estimation, Planning & Prioritization
- Scope requirements and accurately estimate development effort, dependencies, and resource needs.
- Build and maintain project plans and sprint backlogs, including risk mitigation and stakeholder reporting.
- Prioritize initiatives based on business case analysis, effort, ROI, and operational urgency.
5. User-Centric Development & Adoption
- Engage business owners and end users for requirement discovery, prototyping, feedback cycles, and pilot rollout.
- Track adoption, collect feedback post-deployment, and drive continuous optimization.
- Identify new automation use cases and expansion opportunities across business units and geographies.
6. Performance & Outcome Measurement
- Define success criteria, operational KPIs, and business-case metrics for each automation initiative.
- Monitor realized outcomes such as productivity improvement, cycle-time reduction, and error elimination.
- Present impact results and pipeline visibility to senior management.
