Curriculum vitae
Dan Hill
Compliance Systems & Data Specialist
Food Manufacturing, Compliance, Data, Automation, Process Improvement, Auditability
Professional profile
I am a food manufacturing compliance professional specialising in the intersection between compliance, data and operational systems.
My work focuses on turning complex requirements and manual processes into structured, reliable and auditable systems. I combine practical knowledge of food manufacturing compliance with strong capability in data management, workflow automation, reporting and digital process improvement.
I am particularly interested in making compliance information more accurate, accessible and actionable — reducing unnecessary administration while improving visibility, consistency and control.
My approach is centred on accuracy, accountability and auditability. Systems should not simply automate a process; they should make the process easier to understand, harder to get wrong and capable of producing reliable evidence when required.
Core expertise
Food Manufacturing Compliance
- Compliance systems and processes
- Non-conformance management
- Complaints and investigations
- Risk assessment
- Specification management
- Allergen controls
- Audit preparation and evidence
- Corrective and preventative actions
- Multi-site compliance processes
Data & Systems
- Data structure and governance
- Microsoft 365
- SharePoint
- Microsoft Lists
- Power BI
- Power Automate
- Excel and advanced reporting
- Workflow design
- Management information
- Automated reporting
Process Improvement
- Identification of inefficient manual processes
- Workflow redesign
- Digital transformation of manual processes
- Exception handling
- Process controls
- Standardisation across sites
- Continuous improvement
- Designing systems around the people who use them
Professional approach
Step 1: Understand the Requirement
What does the business, customer, standard or process actually require?
Step 2: Understand Reality
Where are the gaps, inconsistencies, duplicated effort or risks in the way the process actually operates?
Step 3: Build the Improvement
How can data, automation and better process design make the outcome more reliable?
I approach technology as a practical tool for solving operational problems rather than as an objective in itself.
Systems & automation
I have developed a particular interest in using Microsoft technologies to connect people, processes and information.
This includes building workflows for approvals, document management, notifications, data collection, reporting and exception handling, alongside structured data sources that provide reliable management information.
The objective is not simply to automate tasks. It is to create controlled, transparent and auditable processes.
Data & reporting
I place a strong emphasis on the quality of information entering a system.
Reliable reporting depends on reliable underlying data. My approach therefore considers:
This enables reporting systems to provide more than attractive dashboards — they become useful tools for identifying trends, risks and areas requiring action.
Professional strengths
Integrity
I place significant importance on accurate information and honest reporting of issues.
Accountability
Processes should have clear ownership and produce evidence of what happened.
Systems Thinking
I naturally look beyond individual tasks to understand how information, people and processes interact.
Attention to Detail
Small inconsistencies in compliance data can become significant operational problems.
Continuous Improvement
I look for practical ways to remove unnecessary work, improve consistency and strengthen controls.
Career direction
My professional development is increasingly focused on the space between compliance, data and technology.
I am interested in roles where practical knowledge of food manufacturing can be combined with systems thinking, automation and data to improve how organisations manage compliance and operational information.
My aim is to continue developing as a specialist who can understand the requirement, understand the operation and help build the system that connects the two.