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Process Automation Specialist LilyLifestyle

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: United Cerebral Palsy of Georgia
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Business Systems/ Tech Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Process Automation Specialist Job Lily Lifestyle Jobs

Process Automation & Digitalization Specialist

Location:

Manchester

Rate: 30 (An hour)

Duration: 12 Months Initially

IR35:
Inside (Must use an umbrella company)

Key Responsibilities

Process Automation:
Identify, design, and implement automation solutions (workflow automation, automated reporting, data validation, milestone monitoring, exception management, document processing, and notification workflows) to eliminate manual tasks in supply operations processes.

AI & Analytics:
Support development based on AI/ML-based tools for decision support, data analysis, predictive capabilities, and operational insights within Supply Operations team.

Digitalization:
Support the digital transformation roadmap by building prototypes, proof‑of‑concepts, dashboards, Power Apps, and scalable digital solutions.

Integration:
Connect automation solutions with existing systems (SAP S/4

HANA, planning tools, reporting platforms, SharePoint, Microsoft Power Platform, and visibility tools).

Documentation & Knowledge Transfer:
Create technical documentation, process guides, and user training materials to ensure sustainability beyond the contract period.

Stakeholder

Collaboration:

Work with Supply Operations team (Logistics & Order Management Europe (ELOM), Planning & Customs), operations leads, and IT to understand pain points and translate them into practical technical solutions.

Continuous Improvement:
Proactively identify opportunities for simplification, standardization, and efficiency improvements across operational and reporting processes.

Required Skills & Experience

Degree in Computer Science, Engineering, Data Science, Supply Chain Analytics, or related technical discipline.

Proven experience in process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies).

Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications, AI copilots, or automation agents).

Experience with data manipulation and visualization (SQL, Power BI, Databricks, Excel automation, or equivalent).

Familiarity with ERP systems (SAP S/4

HANA preferred).

Experience working with APIs, system integrations, and structured/unstructured data sources. Ability to work independently, manage multiple work streams, and deliver within tight timescales.

Strong communication skills with the ability to translate technical concepts into business‑friendly language for non‑technical stakeholders.

Desirable

Experience in supply chain, logistics, or manufacturing environments.

Familiarity with SAP S/4

HANA, APO, OTM, or logistics visibility platforms.

Experience with API integrations and cloud platforms (Azure preferred).

Exposure to Agile or iterative delivery methods.

Knowledge of Microsoft Power Platform ecosystem (Power BI, Power Apps, Power Automate).

Experience supporting digital transformation or automation initiatives in operational environments.

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