12 of 12 Data Privacy Jobs in the North West

client is seeking a Salesforce - Head of CRM and Data Management. Reporting to the Director of Business Solutions, you will take full ownership of the organisation’s CRM and data ecosystem, managing it end-to-end across the business. You will play a key role in shaping … architecture while ensuring the highest standards of data integrity. Your expertise in data management will enable insight-led decision-making across Sales, Marketing, Customer Success, and Finance. Through strong operational leadership, you will translate business objectives into scalable processes, automation, and actionable analytics. Key Responsibilities CRM Ownership Administer ...

various regions. The ideal candidate will possess a deep understanding of regional market nuances, a passion for crafting localized marketing strategies, and a data-driven mindset. As a key member of the EMEA leadership team, this role will shape regional go‐to‐market strategy, influence global decision‐making … expansion in EMEA. Partner closely with EMEA Sales leadership on account planning, strategy, and quarterly execution. Establish clear success metrics and performance targets; use data to continuously optimize program mix and impact. Operate with a strong ROI mindset—connecting spend, activity, and outcomes. Monitor, analyze, and report ...

advantage Knowledge of vendor evaluation, selection, and management to engage with external technology partners effectively. Extensive knowledge of Information Technology industry regulations and data privacy laws to ensure technology practices align with legal requirements Understanding of the Commercial role in IT governance, IT strategy and Enterprise architecture. ...

threat modelling and implementing security controls. Expertise in managing user identities and securing access to systems. Knowledge of encryption, hashing, and tokenization techniques for data privacy. Understanding secure software development lifecycles (SDLC) and integrating security into CI/CD pipelines. Proficient in network protocols, perimeter security to protect infrastructures ...

threat modelling and implementing security controls. Expertise in managing user identities and securing access to systems. Knowledge of encryption, hashing, and tokenization techniques for data privacy. Understanding secure software development lifecycles (SDLC) and integrating security into CI/CD pipelines. Proficient in network protocols, perimeter security to protect infrastructures ...

talent partner RR (Recruitment Revolution). Please direct all interest to them in the first instance. Thanks! Application notice... We take your privacy seriously. When you apply, we shall process your details and pass your … application to our client for review for this vacancy only. As you might expect you may be contacted by email, text or telephone. Your data is processed on the basis of our legitimate interests in fulfilling the recruitment process. Please refer to our Data Privacy Policy ...

talent partner RR (Recruitment Revolution). Please direct all interest to them in the first instance. Thanks! Application notice We take your privacy seriously. When you apply, we shall process your details and pass your … application to our client for review for this vacancy only. As you might expect you may be contacted by email, text or telephone. Your data is processed on the basis of our legitimate interests in fulfilling the recruitment process. Please refer to our Data Privacy Policy ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

effectively. Acts as a trusted advisor, preparing and presenting complex intelligence information. Adheres to legal, regulatory, ethical, and professional standards governing intelligence collection and data privacy. Core Duties: Collect and aggregate data from various sources to develop actionable intelligence. Monitor cyber threat landscapes, including OSINT, dark ...