Process Automation & Optimization Specialist

Siemens Healthineers

9d•$89,220 - $122,672•Hybrid

About The Position

The Process Automation & Optimization Specialist is responsible for identifying, prioritizing, and driving automation and process improvement opportunities across business operations. This role partners with cross-functional stakeholders to assess current workflows, design scalable solutions, and lead initiatives from concept through implementation to enhance efficiency, accuracy, and overall business performance. This position plays a critical role in advancing digital transformation efforts by combining process expertise, analytical thinking, and automation technologies.

Requirements

Bachelor’s degree in business, Information Systems, Operations, or related field
Experience in process improvement, automation, or operations
Understanding of business process mapping, workflow analysis, and optimization techniques
Experience with automation tools (e.g., RPA, workflow automation platforms)
Familiarity with enterprise systems such as SAP (P58 experience preferred)
Ability to manage projects from concept through implementation
Analytical, problem-solving, and organizational skills
Excellent communication and stakeholder management skills

Nice To Haves

Knowledge of digital transformation or large-scale system implementations
Knowledge of Lean, Six Sigma, or continuous improvement methodologies
Experience with data analytics and reporting tools (e.g., Qlik, Power BI)
Background in service operations, contracts, or data quality initiatives

Responsibilities

Proactively evaluate business processes to identify automation and optimization opportunities that reduce manual effort, improve accuracy, and increase scalability
Partner with business stakeholders to understand pain points, inefficiencies, and operational risks
Work with RPA Lead to maintain a prioritized pipeline (roadmap) of automation initiatives aligned with business objectives
Map current-state processes and identify improvement opportunities using data analysis and stakeholder insights
Design future-state workflows that incorporate automation, system enhancements, and process standardization
Ensure solutions align with enterprise systems (e.g., SAP) and organizational standards
Lead end-to-end delivery of automation initiatives—from concept, requirements, and design through testing, deployment, and stabilization
Collaborate with IT, RPA developers, and data/AI teams to integrate AI models, machine learning capabilities, or intelligent automation components into solutions
Monitor project timelines, risks, dependencies, and ensure successful execution
Track performance metrics and KPIs using advanced analytics and AI-driven insights to measure solution impact
Identify continuous improvement opportunities using predictive analytics, trend analysis, and AI-generated recommendations
Ensure sustainability, documentation, and knowledge transfer for implemented solutions
Act as a liaison between business stakeholders, IT teams, and automation resources
Communicate progress, benefits, and impacts of automation initiatives to leadership
Support training, adoption, and change management efforts to ensure successful implementation